teste

mysite/gradio/gradio_config.py

@@ -8,6 +8,7 @@ import os
 import pkgutil
 from routers.chat.chat import demo44 as demo4
 from mysite.gradio.chat import chat
+from routers.postg.gradio_app import crud_interface
 
 def include_gradio_interfaces():
     package_dir = "/home/user/app/routers"
@@ -50,8 +51,6 @@ def setup_gradio_interfaces():
         outputs="text",
     )
 
-    from routers.postg.gradio_app import crud_interface
-
     default_interfaces = [chat,demo4,democs,crud_interface()]#,demo]
     default_names = ["Chat","OpenInterpreter","仕様書から作成","Database",]#"demo"]
 

polls/routers/chat.py

@@ -0,0 +1,115 @@
+import shutil
+import gradio as gr
+from mysite.libs.utilities import chat_with_interpreter, completion, process_file
+from interpreter import interpreter
+import mysite.interpreter.interpreter_config  # インポートするだけで設定が適用されます
+import importlib
+import os
+import pkgutil
+import async_timeout
+import asyncio
+
+
+DESCRIPTION = """
+<div>
+<h1 style="text-align: center;">develop site</h1>
+<p>🦕 共同開発 AIシステム設定 LINE開発 CHATGPTS CHATGPTアシスタント設定 AI自動開発設定 APPSHEET GAS PYTHON</p>
+</div>
+<!-- Start of HubSpot Embed Code -->
+  <script type="text/javascript" id="hs-script-loader" async defer src="//js-na1.hs-scripts.com/46277896.js"></script>
+<!-- End of HubSpot Embed Code -->
+"""
+
+LICENSE = """
+<p/>
+<!-- Start of HubSpot Embed Code -->
+  <script type="text/javascript" id="hs-script-loader" async defer src="//js-na1.hs-scripts.com/46277896.js"></script>
+<!-- End of HubSpot Embed Code -->
+---
+Built with Meta Llama 3
+"""
+
+PLACEHOLDER = """
+<div style="padding: 30px; text-align: center; display: flex; flex-direction: column; align-items: center;">
+   <img src="https://ysharma-dummy-chat-app.hf.space/file=/tmp/gradio/8e75e61cc9bab22b7ce3dec85ab0e6db1da5d107/Meta_lockup_positive%20primary_RGB.jpg" style="width: 80%; max-width: 550px; height: auto; opacity: 0.55;  ">
+   <h1 style="font-size: 28px; margin-bottom: 2px; opacity: 0.55;">Meta llama3</h1>
+   <p style="font-size: 18px; margin-bottom: 2px; opacity: 0.65;">Ask me anything...</p>
+</div>
+"""
+
+
+# チャットインターフェースの関数定義
+# def chat_with_interpreter(message):
+#    return "Response: " + message
+
+
+# カスタムCSSの定義
+css = """
+.gradio-container {
+    height: 100vh; /* 全体の高さを100vhに設定 */
+    display: flex;
+    flex-direction: column;
+}
+.gradio-tabs {
+    flex: 1; /* タブ全体の高さを最大に設定 */
+    display: flex;
+    flex-direction: column;
+}
+.gradio-tab-item {
+    flex: 1; /* 各タブの高さを最大に設定 */
+    display: flex;
+    flex-direction: column;
+    overflow: hidden; /* オーバーフローを隠す */
+}
+.gradio-block {
+    flex: 1; /* ブロックの高さを最大に設定 */
+    display: flex;
+    flex-direction: column;
+}
+.gradio-chatbot {
+    height: 100vh; /* チャットボットの高さを100vhに設定 */
+    overflow-y: auto; /* 縦スクロールを有効にする */
+}
+"""
+GENERATION_TIMEOUT_SEC = 60
+# Gradio block
+chatbot2 = gr.Chatbot(height=450, placeholder=PLACEHOLDER, label="Gradio ChatInterface")
+
+with gr.Blocks(fill_height=True, css=css) as chat:
+    # gr.Markdown(DESCRIPTION)
+    # gr.DuplicateButton(value="Duplicate Space for private use", elem_id="duplicate-button")
+    gr.ChatInterface(
+        fn=completion,
+        chatbot=chatbot2,
+        fill_height=True,
+        additional_inputs_accordion=gr.Accordion(
+            label="⚙️ Parameters", open=False, render=False
+        ),
+        additional_inputs=[
+            gr.Slider(
+                minimum=0,
+                maximum=1,
+                step=0.1,
+                value=0.95,
+                label="Temperature",
+                render=False,
+            ),
+            gr.Slider(
+                minimum=128,
+                maximum=4096,
+                step=1,
+                value=512,
+                label="Max new tokens",
+                render=False,
+            ),
+        ],
+        examples=[
+            ["HTMLのサンプルを作成して"],
+            [
+                "CUDA_VISIBLE_DEVICES=0 llamafactory-cli train examples/lora_single_gpu/llama3_lora_sft.yaml"
+            ],
+        ],
+        cache_examples=False,
+    )
+
+    gr.Markdown(LICENSE)

polls/routers/files.py

@@ -0,0 +1,79 @@
+import shutil
+import gradio as gr
+from mysite.libs.utilities import chat_with_interpreter, completion, process_file
+from interpreter import interpreter
+import mysite.interpreter.interpreter_config  # インポートするだけで設定が適用されます
+import importlib
+import os
+import pkgutil
+import async_timeout
+import asyncio
+
+
+def list_files_in_directory(directory):
+    tree = []
+    for root, dirs, files in os.walk(directory):
+        path = root.split(os.sep)
+        for dir_name in dirs:
+            tree.append((os.path.join(root, dir_name), '/'.join(path + [dir_name])))
+        for file_name in files:
+            tree.append((os.path.join(root, file_name), '/'.join(path + [file_name])))
+    return tree
+
+def read_file(file_path):
+    try:
+        with open(file_path, 'r', encoding='utf-8') as file:
+            return file.read()
+    except UnicodeDecodeError:
+        with open(file_path, 'rb') as file:
+            content = file.read()
+        try:
+            return content.decode('utf-8')
+        except UnicodeDecodeError:
+            try:
+                return content.decode('latin-1')
+            except UnicodeDecodeError:
+                return "Cannot decode file content with utf-8 or latin-1 encoding."
+
+def save_file(file_path, content):
+    with open(file_path, 'w', encoding='utf-8') as file:
+        file.write(content)
+    return "File saved successfully"
+
+def on_file_select(selected_file):
+    if os.path.isfile(selected_file):
+        return read_file(selected_file)
+    return ""
+
+def build_interface(base_directory):
+    file_list = list_files_in_directory(base_directory)
+    file_display = [f[1] for f in file_list]
+    file_paths = {f[1]: f[0] for f in file_list}
+
+    with gr.Blocks() as demo:
+        gr.Markdown("## File Explorer and Editor")
+
+        file_dropdown = gr.Dropdown(label="Select a file or folder", choices=file_display)
+        file_editor = gr.Textbox(label="File Editor", lines=20)
+        save_button = gr.Button("Save File")
+
+        def update_editor(selected_display):
+            selected_file = file_paths.get(selected_display, "")
+            return on_file_select(selected_file)
+
+        def on_edit_button_click(selected_display, new_content):
+            selected_file = file_paths.get(selected_display, "")
+            if os.path.isfile(selected_file):
+                return save_file(selected_file, new_content)
+            return "File not found"
+
+        file_dropdown.change(fn=update_editor, inputs=file_dropdown, outputs=file_editor)
+        save_button.click(fn=on_edit_button_click, inputs=[file_dropdown, file_editor], outputs=None)
+
+    return demo
+
+
+
+
+base_directory = "/home/user/app/routers"  # Here you can specify any directory you want to explore
+demo = build_interface(base_directory)

polls/routers/gradio_config.py

@@ -0,0 +1,65 @@
+import shutil
+import gradio as gr
+from mysite.libs.utilities import chat_with_interpreter, completion, process_file
+from interpreter import interpreter
+import mysite.interpreter.interpreter_config  # インポートするだけで設定が適用されます
+import importlib
+import os
+import pkgutil
+from routers.chat.chat import demo44 as demo4
+from mysite.gradio.chat import chat
+
+def include_gradio_interfaces():
+    package_dir = "/home/user/app/routers"
+    gradio_interfaces = []
+    gradio_names = set()
+
+    for module_info in pkgutil.walk_packages([package_dir], "routers."):
+        sub_module_name = module_info.name
+        try:
+            print(f"Trying to import {sub_module_name}")
+            module = importlib.import_module(sub_module_name)
+            if hasattr(module, "gradio_interface"):
+                print(f"Found gradio_interface in {sub_module_name}")
+                interface_name = module_info.name.split(".")[-1]
+                if interface_name not in gradio_names:
+                    gradio_interfaces.append(module.gradio_interface)
+                    gradio_names.add(interface_name)
+                else:
+                    unique_name = f"{interface_name}_{len(gradio_names)}"
+                    gradio_interfaces.append(module.gradio_interface)
+                    gradio_names.add(unique_name)
+        except ModuleNotFoundError:
+            print(f"ModuleNotFoundError: {sub_module_name}")
+            pass
+        except Exception as e:
+            print(f"Failed to import {sub_module_name}: {e}")
+
+    print(f"Collected Gradio Interfaces: {gradio_names}")
+    return gradio_interfaces, list(gradio_names)
+
+def setup_gradio_interfaces():
+
+    democs = gr.Interface(
+        fn=process_file,
+        inputs=[
+            "file",
+            gr.Textbox(label="Additional Notes", lines=10),
+            gr.Textbox(label="Folder Name"),
+        ],
+        outputs="text",
+    )
+
+    from routers.postg.gradio_app import crud_interface
+
+    default_interfaces = [chat,demo4,democs,crud_interface()]#,demo]
+    default_names = ["Chat","OpenInterpreter","仕様書から作成","Database",]#"demo"]
+
+    gradio_interfaces, gradio_names = include_gradio_interfaces()
+
+    all_interfaces = default_interfaces + gradio_interfaces
+    all_names = default_names + gradio_names
+
+    tabs = gr.TabbedInterface(all_interfaces, all_names)
+    tabs.queue()
+    return tabs

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,198 +0,0 @@
-
-2024-06-07T08:06:00.036396
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: 通信テスト
-
-================================== Ai Message ==================================
-
-Based on the request, I will implement a communication test system using Python. The system will consist of a client and a server, where the client sends a message to the server, and the server responds with a confirmation message.
-
-Here is the implementation:
-
-**requirements.txt**
-```
-pytest
-dataclasses
-```
-
-**src/communication_test/__init__.py**
-```
-# empty file
-```
-
-**src/communication_test/client.py**
-```
-import socket
-from dataclasses import dataclass
-
-@dataclass
-class ClientConfig:
-    host: str
-    port: int
-
-class Client:
-    def __init__(self, config: ClientConfig):
-        self.config = config
-        self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-
-    def connect(self):
-        self.socket.connect((self.config.host, self.config.port))
-
-    def send_message(self, message: str):
-        self.socket.sendall(message.encode())
-
-    def receive_response(self) -> str:
-        response = self.socket.recv(1024)
-        return response.decode()
-
-    def close(self):
-        self.socket.close()
-```
-
-**src/communication_test/server.py**
-```
-import socket
-from dataclasses import dataclass
-
-@dataclass
-class ServerConfig:
-    host: str
-    port: int
-
-class Server:
-    def __init__(self, config: ServerConfig):
-        self.config = config
-        self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-
-    def bind(self):
-        self.socket.bind((self.config.host, self.config.port))
-
-    def listen(self):
-        self.socket.listen(1)
-
-    def accept(self):
-        conn, addr = self.socket.accept()
-        return conn
-
-    def send_response(self, conn, message: str):
-        conn.sendall(message.encode())
-
-    def close(self):
-        self.socket.close()
-```
-
-**src/communication_test/test_client_server.py**
-```
-import pytest
-from client import Client, ClientConfig
-from server import Server, ServerConfig
-
-@pytest.fixture
-def client_config():
-    return ClientConfig(host='localhost', port=8080)
-
-@pytest.fixture
-def server_config():
-    return ServerConfig(host='localhost', port=8080)
-
-def test_client_server_communication(client_config, server_config):
-    server = Server(server_config)
-    server.bind()
-    server.listen()
-
-    client = Client(client_config)
-    client.connect()
-
-    message = 'Hello, server!'
-    client.send_message(message)
-
-    conn, addr = server.accept()
-    response = conn.recv(1024)
-    assert response.decode() == message
-
-    server.send_response(conn, 'Hello, client!')
-    response = client.receive_response()
-    assert response == 'Hello, client!'
-
-    client.close()
-    server.close()
-```
-
-**src/communication_test/main.py**
-```
-from client import Client, ClientConfig
-
-def main():
-    config = ClientConfig(host='localhost', port=8080)
-    client = Client(config)
-    client.connect()
-
-    message = 'Hello, server!'
-    client.send_message(message)
-
-    response = client.receive_response()
-    print(response)
-
-    client.close()
-
-if __name__ == '__main__':
-    main()
-```
-
-This concludes a fully working implementation.

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,158 +0,0 @@
-
-2024-06-07T08:06:01.903668
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: requirements.txt
-1 pytest
-2 dataclasses
-
-File: src/communication_test/__init__.py
-1 # empty file
-
-File: src/communication_test/client.py
-1 import socket
-2 from dataclasses import dataclass
-3 
-4 @dataclass
-5 class ClientConfig:
-6     host: str
-7     port: int
-8 
-9 class Client:
-10     def __init__(self, config: ClientConfig):
-11         self.config = config
-12         self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-13 
-14     def connect(self):
-15         self.socket.connect((self.config.host, self.config.port))
-16 
-17     def send_message(self, message: str):
-18         self.socket.sendall(message.encode())
-19 
-20     def receive_response(self) -> str:
-21         response = self.socket.recv(1024)
-22         return response.decode()
-23 
-24     def close(self):
-25         self.socket.close()
-
-File: src/communication_test/server.py
-1 import socket
-2 from dataclasses import dataclass
-3 
-4 @dataclass
-5 class ServerConfig:
-6     host: str
-7     port: int
-8 
-9 class Server:
-10     def __init__(self, config: ServerConfig):
-11         self.config = config
-12         self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-13 
-14     def bind(self):
-15         self.socket.bind((self.config.host, self.config.port))
-16 
-17     def listen(self):
-18         self.socket.listen(1)
-19 
-20     def accept(self):
-21         conn, addr = self.socket.accept()
-22         return conn
-23 
-24     def send_response(self, conn, message: str):
-25         conn.sendall(message.encode())
-26 
-27     def close(self):
-28         self.socket.close()
-
-File: src/communication_test/test_client_server.py
-1 import pytest
-2 from client import Client, ClientConfig
-3 from server import Server, ServerConfig
-4 
-5 @pytest.fixture
-6 def client_config():
-7     return ClientConfig(host='localhost', port=8080)
-8 
-9 @pytest.fixture
-10 def server_config():
-11     return ServerConfig(host='localhost', port=8080)
-12 
-13 def test_client_server_communication(client_config, server_config):
-14     server = Server(server_config)
-15     server.bind()
-16     server.listen()
-17 
-18     client = Client(client_config)
-19     client.connect()
-20 
-21     message = 'Hello, server!'
-22     client.send_message(message)
-23 
-24     conn, addr = server.accept()
-25     response = conn.recv(1024)
-26     assert response.decode() == message
-27 
-28     server.send_response(conn, 'Hello, client!')
-29     response = client.receive_response()
-30     assert response == 'Hello, client!'
-31 
-32     client.close()
-33     server.close()
-
-File: src/communication_test/main.py
-1 from client import Client, ClientConfig
-2 
-3 def main():
-4     config = ClientConfig(host='localhost', port=8080)
-5     client = Client(config)
-6     client.connect()
-7 
-8     message = 'Hello, server!'
-9     client.send_message(message)
-10 
-11     response = client.receive_response()
-12     print(response)
-13 
-14     client.close()
-15 
-16 if __name__ == '__main__':
-17     main()
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs the necessary parts of the codebase:
-
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run tests in parallel
-pytest -n 4 src/communication_test/
-
-# Run main script
-python src/communication_test/main.py
-```

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/prompt

@@ -1 +0,0 @@
-通信テスト

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/requirements.txt

@@ -1,2 +0,0 @@
-pytest
-dataclasses

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/run.sh

@@ -1,10 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run tests in parallel
-pytest -n 4 src/communication_test/
-
-# Run main script
-python src/communication_test/main.py

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/src/communication_test/__init__.py

@@ -1 +0,0 @@
-# empty file

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/src/communication_test/client.py

@@ -1,25 +0,0 @@
-import socket
-from dataclasses import dataclass
-
-@dataclass
-class ClientConfig:
-    host: str
-    port: int
-
-class Client:
-    def __init__(self, config: ClientConfig):
-        self.config = config
-        self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-
-    def connect(self):
-        self.socket.connect((self.config.host, self.config.port))
-
-    def send_message(self, message: str):
-        self.socket.sendall(message.encode())
-
-    def receive_response(self) -> str:
-        response = self.socket.recv(1024)
-        return response.decode()
-
-    def close(self):
-        self.socket.close()

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/src/communication_test/main.py

@@ -1,17 +0,0 @@
-from client import Client, ClientConfig
-
-def main():
-    config = ClientConfig(host='localhost', port=8080)
-    client = Client(config)
-    client.connect()
-
-    message = 'Hello, server!'
-    client.send_message(message)
-
-    response = client.receive_response()
-    print(response)
-
-    client.close()
-
-if __name__ == '__main__':
-    main()

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/src/communication_test/server.py

@@ -1,28 +0,0 @@
-import socket
-from dataclasses import dataclass
-
-@dataclass
-class ServerConfig:
-    host: str
-    port: int
-
-class Server:
-    def __init__(self, config: ServerConfig):
-        self.config = config
-        self.socket = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
-
-    def bind(self):
-        self.socket.bind((self.config.host, self.config.port))
-
-    def listen(self):
-        self.socket.listen(1)
-
-    def accept(self):
-        conn, addr = self.socket.accept()
-        return conn
-
-    def send_response(self, conn, message: str):
-        conn.sendall(message.encode())
-
-    def close(self):
-        self.socket.close()

routers/20240607080552_通信テスト_U7a972c5cc46e966de21ff1cd3adc6d52/src/communication_test/test_client_server.py

@@ -1,33 +0,0 @@
-import pytest
-from client import Client, ClientConfig
-from server import Server, ServerConfig
-
-@pytest.fixture
-def client_config():
-    return ClientConfig(host='localhost', port=8080)
-
-@pytest.fixture
-def server_config():
-    return ServerConfig(host='localhost', port=8080)
-
-def test_client_server_communication(client_config, server_config):
-    server = Server(server_config)
-    server.bind()
-    server.listen()
-
-    client = Client(client_config)
-    client.connect()
-
-    message = 'Hello, server!'
-    client.send_message(message)
-
-    conn, addr = server.accept()
-    response = conn.recv(1024)
-    assert response.decode() == message
-
-    server.send_response(conn, 'Hello, client!')
-    response = client.receive_response()
-    assert response == 'Hello, client!'
-
-    client.close()
-    server.close()

routers/20240607080748_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,144 +0,0 @@
-
-2024-06-07T08:07:56.444904
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: gradioのサンプルを作成して
-interface名は gradio_interface
-
-
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-================================== Ai Message ==================================
-
-Here is a sample implementation of a CRUD (Create, Read, Update, Delete) application using Gradio.
-
-**requirements.txt**
-```
-gradio
-```
-
-**gradio_interface.py**
-```
-import gradio as gr
-
-class CRUDApp:
-    def __init__(self):
-        self.data = []
-
-    def create(self, name, age):
-        self.data.append({"name": name, "age": age})
-        return self.data
-
-    def read(self):
-        return self.data
-
-    def update(self, index, name, age):
-        if index < len(self.data):
-            self.data[index] = {"name": name, "age": age}
-        return self.data
-
-    def delete(self, index):
-        if index < len(self.data):
-            del self.data[index]
-        return self.data
-
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-    with gr.Row():
-        with gr.Column():
-            name_input = gr.Textbox(label="Name")
-            age_input = gr.Number(label="Age")
-            create_button = gr.Button("Create")
-
-        with gr.Column():
-            read_button = gr.Button("Read")
-            update_button = gr.Button("Update")
-            delete_button = gr.Button("Delete")
-
-    output = gr.Dataframe(label="Data")
-
-    crud_app = CRUDApp()
-
-    def create_event(name, age):
-        return crud_app.create(name, age)
-
-    def read_event():
-        return crud_app.read()
-
-    def update_event(index, name, age):
-        return crud_app.update(index, name, age)
-
-    def delete_event(index):
-        return crud_app.delete(index)
-
-    create_button.click(fn=create_event, inputs=[name_input, age_input], outputs=[output])
-    read_button.click(fn=read_event, outputs=[output])
-    update_button.click(fn=update_event, inputs=[gr.Number(label="Index"), name_input, age_input], outputs=[output])
-    delete_button.click(fn=delete_event, inputs=[gr.Number(label="Index")], outputs=[output])
-
-gr.Interface(gradio_interface, "gradio_interface").launch()
-```
-
-This implementation defines a `CRUDApp` class that handles the CRUD operations. The `gradio_interface` defines the UI components and the event handlers for the CRUD operations.
-
-To run the application, save the code in a file named `gradio_interface.py` and run it using `python gradio_interface.py`. This will launch a web interface that allows you to create, read, update, and delete data.
-
-This concludes a fully working implementation.

routers/20240607080748_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,95 +0,0 @@
-
-2024-06-07T08:07:57.183430
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: requirements.txt
-1 gradio
-
-File: gradio_interface.py
-1 import gradio as gr
-2 
-3 class CRUDApp:
-4     def __init__(self):
-5         self.data = []
-6 
-7     def create(self, name, age):
-8         self.data.append({"name": name, "age": age})
-9         return self.data
-10 
-11     def read(self):
-12         return self.data
-13 
-14     def update(self, index, name, age):
-15         if index < len(self.data):
-16             self.data[index] = {"name": name, "age": age}
-17         return self.data
-18 
-19     def delete(self, index):
-20         if index < len(self.data):
-21             del self.data[index]
-22         return self.data
-23 
-24 with gr.Blocks() as gradio_interface:
-25     gr.Markdown("CRUD Application")
-26 
-27     with gr.Row():
-28         with gr.Column():
-29             name_input = gr.Textbox(label="Name")
-30             age_input = gr.Number(label="Age")
-31             create_button = gr.Button("Create")
-32 
-33         with gr.Column():
-34             read_button = gr.Button("Read")
-35             update_button = gr.Button("Update")
-36             delete_button = gr.Button("Delete")
-37 
-38     output = gr.Dataframe(label="Data")
-39 
-40     crud_app = CRUDApp()
-41 
-42     def create_event(name, age):
-43         return crud_app.create(name, age)
-44 
-45     def read_event():
-46         return crud_app.read()
-47 
-48     def update_event(index, name, age):
-49         return crud_app.update(index, name, age)
-50 
-51     def delete_event(index):
-52         return crud_app.delete(index)
-53 
-54     create_button.click(fn=create_event, inputs=[name_input, age_input], outputs=[output])
-55     read_button.click(fn=read_event, outputs=[output])
-56     update_button.click(fn=update_event, inputs=[gr.Number(label="Index"), name_input, age_input], outputs=[output])
-57     delete_button.click(fn=delete_event, inputs=[gr.Number(label="Index")], outputs=[output])
-58 
-59 gr.Interface(gradio_interface, "gradio_interface").launch()
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs the codebase:
-```
-python -m pip install --user -r requirements.txt
-python gradio_interface.py
-```

routers/20240607080748_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/gradio_interface.py

@@ -1,59 +0,0 @@
-import gradio as gr
-
-class CRUDApp:
-    def __init__(self):
-        self.data = []
-
-    def create(self, name, age):
-        self.data.append({"name": name, "age": age})
-        return self.data
-
-    def read(self):
-        return self.data
-
-    def update(self, index, name, age):
-        if index < len(self.data):
-            self.data[index] = {"name": name, "age": age}
-        return self.data
-
-    def delete(self, index):
-        if index < len(self.data):
-            del self.data[index]
-        return self.data
-
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-    with gr.Row():
-        with gr.Column():
-            name_input = gr.Textbox(label="Name")
-            age_input = gr.Number(label="Age")
-            create_button = gr.Button("Create")
-
-        with gr.Column():
-            read_button = gr.Button("Read")
-            update_button = gr.Button("Update")
-            delete_button = gr.Button("Delete")
-
-    output = gr.Dataframe(label="Data")
-
-    crud_app = CRUDApp()
-
-    def create_event(name, age):
-        return crud_app.create(name, age)
-
-    def read_event():
-        return crud_app.read()
-
-    def update_event(index, name, age):
-        return crud_app.update(index, name, age)
-
-    def delete_event(index):
-        return crud_app.delete(index)
-
-    create_button.click(fn=create_event, inputs=[name_input, age_input], outputs=[output])
-    read_button.click(fn=read_event, outputs=[output])
-    update_button.click(fn=update_event, inputs=[gr.Number(label="Index"), name_input, age_input], outputs=[output])
-    delete_button.click(fn=delete_event, inputs=[gr.Number(label="Index")], outputs=[output])
-
-#gr.Interface(gradio_interface, "gradio_interface").launch()

routers/20240607080748_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/prompt

@@ -1,7 +0,0 @@
-gradioのサンプルを作成して
-interface名は gradio_interface
-
-
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")

routers/20240607080748_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/requirements.txt

@@ -1 +0,0 @@
-gradio

routers/20240607080748_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/run.sh

@@ -1,2 +0,0 @@
-python -m pip install --user -r requirements.txt
-python gradio_interface.py

routers/20240607080914_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,121 +0,0 @@
-
-2024-06-07T08:09:22.724114
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: gradioのサンプルを作成して
-interface名は gradio_interface
-__init__.pyも作成
-
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-================================== Ai Message ==================================
-
-Here is the implementation of the Gradio interface:
-
-**gradio_interface**
-```
-__init__.py
-```
-
-**gradio_interface/interface.py**
-```
-import gradio as gr
-
-class GradioInterface:
-    def __init__(self):
-        with gr.Blocks() as self.gradio_interface:
-            gr.Markdown("CRUD Application")
-            self.create_widgets()
-
-    def create_widgets(self):
-        self.textbox = gr.Textbox(label="Enter text")
-        self.button = gr.Button("Submit")
-        self.output = gr.Textbox(label="Output")
-
-        self.gradio_interface += [self.textbox, self.button, self.output]
-
-        self.button.click(self.submit, inputs=[self.textbox], outputs=[self.output])
-
-    def submit(self, text):
-        return text.upper()
-```
-
-**gradio_interface/app.py**
-```
-from interface import GradioInterface
-
-def launch_interface():
-    gradio_interface = GradioInterface()
-    gradio_interface.gradio_interface.launch()
-
-if __name__ == "__main__":
-    launch_interface()
-```
-
-**requirements.txt**
-```
-gradio
-```
-
-This implementation defines a Gradio interface with a textbox, a button, and an output textbox. When the button is clicked, the input text is converted to uppercase and displayed in the output textbox.
-
-To run the application, navigate to the project directory and run `python app.py`. This will launch the Gradio interface in the default web browser.
-
-This concludes a fully working implementation.

routers/20240607080914_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,73 +0,0 @@
-
-2024-06-07T08:09:23.163471
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: gradio_interface
-1 __init__.py
-
-File: gradio_interface/interface.py
-1 import gradio as gr
-2 
-3 class GradioInterface:
-4     def __init__(self):
-5         with gr.Blocks() as self.gradio_interface:
-6             gr.Markdown("CRUD Application")
-7             self.create_widgets()
-8 
-9     def create_widgets(self):
-10         self.textbox = gr.Textbox(label="Enter text")
-11         self.button = gr.Button("Submit")
-12         self.output = gr.Textbox(label="Output")
-13 
-14         self.gradio_interface += [self.textbox, self.button, self.output]
-15 
-16         self.button.click(self.submit, inputs=[self.textbox], outputs=[self.output])
-17 
-18     def submit(self, text):
-19         return text.upper()
-
-File: gradio_interface/app.py
-1 from interface import GradioInterface
-2 
-3 def launch_interface():
-4     gradio_interface = GradioInterface()
-5     gradio_interface.gradio_interface.launch()
-6 
-7 if __name__ == "__main__":
-8     launch_interface()
-
-File: requirements.txt
-1 gradio
-
-```
-
-================================== Ai Message ==================================
-
-Here is a Unix script that installs dependencies and runs the codebase:
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the application
-python gradio_interface/app.py
-```

routers/20240607080914_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/gradio_interface

@@ -1 +0,0 @@
-__init__.py

routers/20240607080914_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/prompt

@@ -1,7 +0,0 @@
-gradioのサンプルを作成して
-interface名は gradio_interface
-__init__.pyも作成
-
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")

routers/20240607081044_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,121 +0,0 @@
-
-2024-06-07T08:10:52.554583
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: gradioのサンプルを作成して
-interface名は gradio_interface
-
-モジュールとして認識するように別ファイルで
-
-__init__.pyも作成
-
-================================== Ai Message ==================================
-
-Here is a sample implementation of a Gradio interface in Python:
-
-**gradio_interface**
-```
-__init__.py
-```
-
-**gradio_interface/interface.py**
-```
-import gradio as gr
-
-class GradioInterface:
-    def __init__(self):
-        self iface = gr.Interface(
-            fn=self.predict,
-            inputs="text",
-            outputs="text",
-            title="My Gradio Interface",
-            description="A sample Gradio interface"
-        )
-
-    def predict(self, input_text):
-        # Simple echo function for demonstration purposes
-        return input_text
-
-    def launch(self):
-        self.iface.launch()
-```
-
-**gradio_interface/main.py**
-```
-from .interface import GradioInterface
-
-def main():
-    iface = GradioInterface()
-    iface.launch()
-
-if __name__ == "__main__":
-    main()
-```
-
-**requirements.txt**
-```
-gradio
-```
-
-This implementation defines a `GradioInterface` class in `interface.py`, which creates a Gradio interface with a single text input and output. The `predict` method is a simple echo function that returns the input text.
-
-The `main.py` file creates an instance of the `GradioInterface` class and launches the interface using the `launch` method.
-
-To run the interface, navigate to the `gradio_interface` directory and run `python main.py`. This will launch the Gradio interface in a web browser.
-
-This concludes a fully working implementation.

routers/20240607081044_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,73 +0,0 @@
-
-2024-06-07T08:10:53.495483
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: gradio_interface
-1 __init__.py
-
-File: gradio_interface/interface.py
-1 import gradio as gr
-2 
-3 class GradioInterface:
-4     def __init__(self):
-5         self iface = gr.Interface(
-6             fn=self.predict,
-7             inputs="text",
-8             outputs="text",
-9             title="My Gradio Interface",
-10             description="A sample Gradio interface"
-11         )
-12 
-13     def predict(self, input_text):
-14         # Simple echo function for demonstration purposes
-15         return input_text
-16 
-17     def launch(self):
-18         self.iface.launch()
-
-File: gradio_interface/main.py
-1 from .interface import GradioInterface
-2 
-3 def main():
-4     iface = GradioInterface()
-5     iface.launch()
-6 
-7 if __name__ == "__main__":
-8     main()
-
-File: requirements.txt
-1 gradio
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs the codebase:
-
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the codebase
-python gradio_interface/main.py
-```

routers/20240607081044_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/gradio_interface

@@ -1 +0,0 @@
-__init__.py

routers/20240607081044_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/prompt

@@ -1,6 +0,0 @@
-gradioのサンプルを作成して
-interface名は gradio_interface
-
-モジュールとして認識するように別ファイルで
-
-__init__.pyも作成

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,163 +0,0 @@
-
-2024-06-07T08:12:20.669521
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: gradioのサンプルを作成して
-
-
-templateは下記
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-__init__.pyも作成
-
-================================== Ai Message ==================================
-
-Here is a sample CRUD application using Gradio:
-
-**Directory Structure**
-```
-crud_app/
-__init__.py
-app.py
-models/
-__init__.py
-user.py
-views/
-__init__.py
-user_view.py
-requirements.txt
-```
-
-**crud_app/__init__.py**
-```
-# empty file
-```
-
-**crud_app/app.py**
-```
-import gradio as gr
-from views.user_view import UserView
-
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-    user_view = UserView()
-    user_view.render(gradio_interface)
-```
-
-**crud_app/models/__init__.py**
-```
-# empty file
-```
-
-**crud_app/models/user.py**
-```
-from dataclasses import dataclass
-
-@dataclass
-class User:
-    id: int
-    name: str
-    email: str
-```
-
-**crud_app/views/__init__.py**
-```
-# empty file
-```
-
-**crud_app/views/user_view.py**
-```
-import gradio as gr
-from models.user import User
-
-class UserView:
-    def __init__(self):
-        self.users = []
-
-    def render(self, interface):
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("User List")
-                self.user_list = gr.Dataframe(self.users, label="Users")
-            with gr.Column():
-                gr.Markdown("Create User")
-                self.name_input = gr.Textbox(label="Name")
-                self.email_input = gr.Textbox(label="Email")
-                self.create_button = gr.Button("Create User")
-
-        self.create_button.click(self.create_user, inputs=[self.name_input, self.email_input], outputs=[self.user_list])
-
-    def create_user(self, name, email):
-        new_user = User(len(self.users) + 1, name, email)
-        self.users.append(new_user)
-        return [self.users]
-```
-
-**requirements.txt**
-```
-gradio
-dataclasses
-```
-
-This implementation provides a basic CRUD application with a single entity, `User`. The application has a single view, `UserView`, which displays a list of users and allows creating new users. The `User` model is defined using a dataclass.
-
-To run the application, navigate to the `crud_app` directory and run `python app.py`. This will launch the Gradio interface.
-
-This concludes a fully working implementation.

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,105 +0,0 @@
-
-2024-06-07T08:12:21.217352
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: Structure
-1 crud_app/
-2 __init__.py
-3 app.py
-4 models/
-5 __init__.py
-6 user.py
-7 views/
-8 __init__.py
-9 user_view.py
-10 requirements.txt
-
-File: crud_app/__init__.py
-1 # empty file
-
-File: crud_app/app.py
-1 import gradio as gr
-2 from views.user_view import UserView
-3 
-4 with gr.Blocks() as gradio_interface:
-5     gr.Markdown("CRUD Application")
-6     user_view = UserView()
-7     user_view.render(gradio_interface)
-
-File: crud_app/models/__init__.py
-1 # empty file
-
-File: crud_app/models/user.py
-1 from dataclasses import dataclass
-2 
-3 @dataclass
-4 class User:
-5     id: int
-6     name: str
-7     email: str
-
-File: crud_app/views/__init__.py
-1 # empty file
-
-File: crud_app/views/user_view.py
-1 import gradio as gr
-2 from models.user import User
-3 
-4 class UserView:
-5     def __init__(self):
-6         self.users = []
-7 
-8     def render(self, interface):
-9         with gr.Row():
-10             with gr.Column():
-11                 gr.Markdown("User List")
-12                 self.user_list = gr.Dataframe(self.users, label="Users")
-13             with gr.Column():
-14                 gr.Markdown("Create User")
-15                 self.name_input = gr.Textbox(label="Name")
-16                 self.email_input = gr.Textbox(label="Email")
-17                 self.create_button = gr.Button("Create User")
-18 
-19         self.create_button.click(self.create_user, inputs=[self.name_input, self.email_input], outputs=[self.user_list])
-20 
-21     def create_user(self, name, email):
-22         new_user = User(len(self.users) + 1, name, email)
-23         self.users.append(new_user)
-24         return [self.users]
-
-File: requirements.txt
-1 gradio
-2 dataclasses
-
-```
-
-================================== Ai Message ==================================
-
-Here is the Unix script that installs dependencies and runs the codebase:
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the application
-python crud_app/app.py
-```

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/Structure

@@ -1,10 +0,0 @@
-crud_app/
-__init__.py
-app.py
-models/
-__init__.py
-user.py
-views/
-__init__.py
-user_view.py
-requirements.txt

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/crud_app/__init__.py

@@ -1 +0,0 @@
-# empty file

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/crud_app/app.py

@@ -1,7 +0,0 @@
-import gradio as gr
-from views.user_view import UserView
-
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-    user_view = UserView()
-    user_view.render(gradio_interface)

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/crud_app/models/__init__.py

@@ -1 +0,0 @@
-# empty file

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/crud_app/models/user.py

@@ -1,7 +0,0 @@
-from dataclasses import dataclass
-
-@dataclass
-class User:
-    id: int
-    name: str
-    email: str

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/crud_app/views/__init__.py

@@ -1 +0,0 @@
-# empty file

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/crud_app/views/user_view.py

@@ -1,24 +0,0 @@
-import gradio as gr
-from models.user import User
-
-class UserView:
-    def __init__(self):
-        self.users = []
-
-    def render(self, interface):
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("User List")
-                self.user_list = gr.Dataframe(self.users, label="Users")
-            with gr.Column():
-                gr.Markdown("Create User")
-                self.name_input = gr.Textbox(label="Name")
-                self.email_input = gr.Textbox(label="Email")
-                self.create_button = gr.Button("Create User")
-
-        self.create_button.click(self.create_user, inputs=[self.name_input, self.email_input], outputs=[self.user_list])
-
-    def create_user(self, name, email):
-        new_user = User(len(self.users) + 1, name, email)
-        self.users.append(new_user)
-        return [self.users]

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/prompt

@@ -1,9 +0,0 @@
-gradioのサンプルを作成して
-
-
-templateは下記
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-__init__.pyも作成

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/requirements.txt

@@ -1,2 +0,0 @@
-gradio
-dataclasses

routers/20240607081213_gradioのサンプ_U7a972c5cc46e966de21ff1cd3adc6d52/run.sh

@@ -1,7 +0,0 @@
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the application
-python crud_app/app.py

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/all_output.txt

@@ -1,470 +0,0 @@
-
-2024-06-07T08:13:35.162073
-================================ System Message ================================
-
-You will get instructions for code to write.
-You will write a very long answer. Make sure that every detail of the architecture is, in the end, implemented as code.
-Think step by step and reason yourself to the correct decisions to make sure we get it right.
-First lay out the names of the core classes, functions, methods that will be necessary, As well as a quick comment on their purpose.
-
-You will output the content of each file necessary to achieve the goal, including ALL code.
-Represent files like so:
-
-FILENAME
-```
-CODE
-```
-
-The following tokens must be replaced like so:
-FILENAME is the lowercase combined path and file name including the file extension
-CODE is the code in the file
-
-Example representation of a file:
-
-src/hello_world.py
-```
-print("Hello World")
-```
-
-Do not comment on what every file does. Please note that the code should be fully functional. No placeholders.
-
-
-You will start with the "entrypoint" file, then go to the ones that are imported by that file, and so on.
-Please note that the code should be fully functional. No placeholders.
-
-Follow a language and framework appropriate best practice file naming convention.
-Make sure that files contain all imports, types etc.  The code should be fully functional. Make sure that code in different files are compatible with each other.
-Ensure to implement all code, if you are unsure, write a plausible implementation.
-Include module dependency or package manager dependency definition file.
-Before you finish, double check that all parts of the architecture is present in the files.
-
-When you are done, write finish with "this concludes a fully working implementation".
-
-Useful to know:
-Almost always put different classes in different files.
-Always use the programming language the user asks for.
-For Python, you always create an appropriate requirements.txt file.
-For NodeJS, you always create an appropriate package.json file.
-Always add a comment briefly describing the purpose of the function definition.
-Add comments explaining very complex bits of logic.
-Always follow the best practices for the requested languages for folder/file structure and how to package the project.
-
-
-Python toolbelt preferences:
-- pytest
-- dataclasses
-
-
-================================ Human Message =================================
-
-Request: creategooglelensu
-あなたはプロのPYTHONの開発者です
-Googleレンズの開発
-PythonでGoogleレンズからデータ取得の開発
-画面は Gradioで作成　gradio コンポーネント名は gradio_interface
-djangoのアプリケーション形式で作成すること
-APIはFastAPIで作成　routerの作成
-pytest fastapiでのテストが出来る事
-mockでテストデータを入れる事
-djangoにログをいれるのでmodelを作成すること
-Readme.mdに設計を作成し記載すること
-設計の内容にplantumlのシーケンスを入れる事
-djangoのsetting.py と
-migrationコマンドを作成すること
-
-aws lambda sam用のテンプレートも作成すること
-→マイクロフレームワークとして使用
-SamのLacコマンドも作成　AWSに自動アップ
-
-
-gradioとfastapiのファイルは１ファイルにする事
-GradioとFastAPIのログは、djangoのモデルでデータに全て追加すること
-Djangoのデータ確認用のadmin設定も作成すること
-__init__.pyを作成すること　モジュールとして認識
-
-** 作成物 **
-フロントエンド
-python gradio
-
-
-templateは下記
-import gradio as gr
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-
-バックエンド
-python fastapi
-
-================================== Ai Message ==================================
-
-Here is the implementation of the requested project.
-
-**Project Structure**
-```
-googlelens/
-googlelens/
-__init__.py
-models/
-__init__.py
-googlelens_model.py
-views/
-__init__.py
-googlelens_view.py
-serializers/
-__init__.py
-googlelens_serializer.py
-routers/
-__init__.py
-googlelens_router.py
-main.py
-requirements.txt
-tests/
-__init__.py
-test_googlelens.py
-gradio_interface.py
-fastapi_app.py
-settings.py
-urls.py
-wsgi.py
-templates/
-base.html
-admin.py
-apps.py
-models.py
-tests.py
-views.py
-__init__.py
-README.md
-plantuml_sequence.puml
-aws_lambda_template.yaml
-sam_config.toml
-```
-
-**Files**
-
-**googlelens/__init__.py**
-```
-# empty file
-```
-
-**googlelens/models/__init__.py**
-```
-# empty file
-```
-
-**googlelens/models/googlelens_model.py**
-```
-from django.db import models
-
-class GoogleLensModel(models.Model):
-    image = models.ImageField(upload_to='images/')
-    data = models.TextField()
-
-    def __str__(self):
-        return self.data
-```
-
-**googlelens/views/__init__.py**
-```
-# empty file
-```
-
-**googlelens/views/googlelens_view.py**
-```
-from rest_framework.response import Response
-from rest_framework.views import APIView
-from .serializers import GoogleLensSerializer
-from .models import GoogleLensModel
-
-class GoogleLensView(APIView):
-    def post(self, request):
-        serializer = GoogleLensSerializer(data=request.data)
-        if serializer.is_valid():
-            serializer.save()
-            return Response(serializer.data)
-        return Response(serializer.errors)
-```
-
-**googlelens/serializers/__init__.py**
-```
-# empty file
-```
-
-**googlelens/serializers/googlelens_serializer.py**
-```
-from rest_framework import serializers
-from .models import GoogleLensModel
-
-class GoogleLensSerializer(serializers.ModelSerializer):
-    class Meta:
-        model = GoogleLensModel
-        fields = ['image', 'data']
-```
-
-**googlelens/routers/__init__.py**
-```
-# empty file
-```
-
-**googlelens/routers/googlelens_router.py**
-```
-from fastapi import APIRouter
-from .views import GoogleLensView
-
-router = APIRouter()
-router.post("/googlelens", response_model=str, summary="Create Google Lens data", description="Create Google Lens data")(GoogleLensView.as_view())
-```
-
-**googlelens/main.py**
-```
-from fastapi import FastAPI
-from .routers.googlelens_router import router
-
-app = FastAPI()
-app.include_router(router)
-```
-
-**requirements.txt**
-```
-fastapi
-django
-gradio
-pytest
-```
-
-**tests/__init__.py**
-```
-# empty file
-```
-
-**tests/test_googlelens.py**
-```
-from googlelens.main import app
-from fastapi.testclient import TestClient
-import pytest
-from unittest.mock import patch
-
-client = TestClient(app)
-
-def test_create_googlelens():
-    response = client.post("/googlelens", json={"image": "image_data", "data": "data"})
-    assert response.status_code == 200
-
-@patch("googlelens.views.GoogleLensView.post")
-def test_googlelens_view(mock_post):
-    mock_post.return_value = {"image": "image_data", "data": "data"}
-    response = client.post("/googlelens", json={"image": "image_data", "data": "data"})
-    assert response.status_code == 200
-```
-
-**gradio_interface.py**
-```
-import gradio as gr
-
-with gr.Blocks() as gradio_interface:
-    gr.Markdown("CRUD Application")
-```
-
-**fastapi_app.py**
-```
-from fastapi import FastAPI
-from googlelens.main import app
-
-app = FastAPI()
-app.mount("/googlelens", app)
-```
-
-**settings.py**
-```
-INSTALLED_APPS = [
-    'django.contrib.admin',
-    'django.contrib.auth',
-    'django.contrib.contenttypes',
-    'django.contrib.sessions',
-    'django.contrib.messages',
-    'django.contrib.staticfiles',
-    'googlelens',
-]
-
-DATABASES = {
-    'default': {
-        'ENGINE': 'django.db.backends.sqlite3',
-        'NAME': 'googlelens.db',
-    }
-}
-```
-
-**urls.py**
-```
-from django.urls import path, include
-
-urlpatterns = [
-    path('admin/', admin.site.urls),
-    path('googlelens/', include('googlelens.urls')),
-]
-```
-
-**wsgi.py**
-```
-import os
-import sys
-
-from django.core.wsgi import get_wsgi_application
-
-os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'googlelens.settings')
-
-application = get_wsgi_application()
-```
-
-**templates/base.html**
-```
-<!DOCTYPE html>
-<html>
-<head>
-    <title>Google Lens CRUD Application</title>
-</head>
-<body>
-    <h1>Google Lens CRUD Application</h1>
-</body>
-</html>
-```
-
-**admin.py**
-```
-from django.contrib import admin
-from .models import GoogleLensModel
-
-admin.site.register(GoogleLensModel)
-```
-
-**apps.py**
-```
-from django.apps import AppConfig
-
-class GoogleLensConfig(AppConfig):
-    name = 'googlelens'
-    verbose_name = 'Google Lens CRUD Application'
-```
-
-**models.py**
-```
-from django.db import models
-
-class GoogleLensModel(models.Model):
-    image = models.ImageField(upload_to='images/')
-    data = models.TextField()
-
-    def __str__(self):
-        return self.data
-```
-
-**tests.py**
-```
-from django.test import TestCase
-from .models import GoogleLensModel
-
-class TestGoogleLensModel(TestCase):
-    def test_googlelens_model(self):
-        googlelens_model = GoogleLensModel(image="image_data", data="data")
-        self.assertEqual(str(googlelens_model), "data")
-```
-
-**views.py**
-```
-from django.shortcuts import render
-from .models import GoogleLensModel
-
-def googlelens_view(request):
-    googlelens_models = GoogleLensModel.objects.all()
-    return render(request, 'base.html', {'googlelens_models': googlelens_models})
-```
-
-**README.md**
-```
-# Google Lens CRUD Application
-
-This is a Google Lens CRUD application using Django and FastAPI.
-
-## Design
-
-The application consists of the following components:
-
-* Django for the backend API
-* FastAPI for the API router
-* Gradio for the frontend interface
-* Django admin for the admin interface
-
-## Sequence Diagram
-
-@startuml
-participant "User" as user
-participant "Gradio Interface" as gradio
-participant "FastAPI" as fastapi
-participant "Django API" as django_api
-participant "Django Admin" as django_admin
-
-user -> gradio: Request
-gradio -> fastapi: Request
-fastapi -> django_api: Request
-django_api -> django_admin: Request
-django_admin -> django_api: Response
-django_api -> fastapi: Response
-fastapi -> gradio: Response
-gradio -> user: Response
-@enduml
-```
-
-**plantuml_sequence.puml**
-```
-@startuml
-participant "User" as user
-participant "Gradio Interface" as gradio
-participant "FastAPI" as fastapi
-participant "Django API" as django_api
-participant "Django Admin" as django_admin
-
-user -> gradio: Request
-gradio -> fastapi: Request
-fastapi -> django_api: Request
-django_api -> django_admin: Request
-django_admin -> django_api: Response
-django_api -> fastapi: Response
-fastapi -> gradio: Response
-gradio -> user: Response
-@enduml
-```
-
-**aws_lambda_template.yaml**
-```
-AWSTemplateFormatVersion: '2010-09-09'
-Transform:
-- AWS::Serverless-2016-10-31
-
-Resources:
-  GoogleLensFunction:
-    Type: AWS::Serverless::Function
-    Properties:
-      FunctionName: !Sub 'googlelens-${AWS::Region}'
-      Runtime: python3.8
-      Handler: index.handler
-      Code:
-        S3Bucket: !Sub 'googlelens-bucket-${AWS::Region}'
-        S3ObjectVersion: !Sub 'googlelens-object-version-${AWS::Region}'
-      Environment:
-        BUCKET_NAME: !Sub 'googlelens-bucket-${AWS::Region}'
-      Events:
-        GoogleLensApi:
-          Type: Api
-          Properties:
-            Path: /googlelens
-            Method: post
-```
-
-**sam_config.toml**
-```
-[default]
-runtime = "python3.8"
-handler = "index.handler"
-```
-
-This concludes a fully working implementation.

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/.gpteng/memory/logs/gen_entrypoint_chat.txt

@@ -1,348 +0,0 @@
-
-2024-06-07T08:13:37.314686
-================================ System Message ================================
-
-You will get information about a codebase that is currently on disk in the current folder.
-The user will ask you to write a script that runs the code in a specific way.
-You will answer with code blocks that include all the necessary terminal commands.
-Do not install globally. Do not use sudo.
-Do not explain the code, just give the commands.
-Do not use placeholders, use example values (like . for a folder argument) if necessary.
-
-
-================================ Human Message =================================
-
-
-        Make a unix script that
-        a) installs dependencies
-        b) runs all necessary parts of the codebase (in parallel if necessary)
-        
-Information about the codebase:
-
-```
-File: Structure
-1 googlelens/
-2 googlelens/
-3 __init__.py
-4 models/
-5 __init__.py
-6 googlelens_model.py
-7 views/
-8 __init__.py
-9 googlelens_view.py
-10 serializers/
-11 __init__.py
-12 googlelens_serializer.py
-13 routers/
-14 __init__.py
-15 googlelens_router.py
-16 main.py
-17 requirements.txt
-18 tests/
-19 __init__.py
-20 test_googlelens.py
-21 gradio_interface.py
-22 fastapi_app.py
-23 settings.py
-24 urls.py
-25 wsgi.py
-26 templates/
-27 base.html
-28 admin.py
-29 apps.py
-30 models.py
-31 tests.py
-32 views.py
-33 __init__.py
-34 README.md
-35 plantuml_sequence.puml
-36 aws_lambda_template.yaml
-37 sam_config.toml
-
-File: googlelens/__init__.py
-1 # empty file
-
-File: googlelens/models/__init__.py
-1 # empty file
-
-File: googlelens/models/googlelens_model.py
-1 from django.db import models
-2 
-3 class GoogleLensModel(models.Model):
-4     image = models.ImageField(upload_to='images/')
-5     data = models.TextField()
-6 
-7     def __str__(self):
-8         return self.data
-
-File: googlelens/views/__init__.py
-1 # empty file
-
-File: googlelens/views/googlelens_view.py
-1 from rest_framework.response import Response
-2 from rest_framework.views import APIView
-3 from .serializers import GoogleLensSerializer
-4 from .models import GoogleLensModel
-5 
-6 class GoogleLensView(APIView):
-7     def post(self, request):
-8         serializer = GoogleLensSerializer(data=request.data)
-9         if serializer.is_valid():
-10             serializer.save()
-11             return Response(serializer.data)
-12         return Response(serializer.errors)
-
-File: googlelens/serializers/__init__.py
-1 # empty file
-
-File: googlelens/serializers/googlelens_serializer.py
-1 from rest_framework import serializers
-2 from .models import GoogleLensModel
-3 
-4 class GoogleLensSerializer(serializers.ModelSerializer):
-5     class Meta:
-6         model = GoogleLensModel
-7         fields = ['image', 'data']
-
-File: googlelens/routers/__init__.py
-1 # empty file
-
-File: googlelens/routers/googlelens_router.py
-1 from fastapi import APIRouter
-2 from .views import GoogleLensView
-3 
-4 router = APIRouter()
-5 router.post("/googlelens", response_model=str, summary="Create Google Lens data", description="Create Google Lens data")(GoogleLensView.as_view())
-
-File: googlelens/main.py
-1 from fastapi import FastAPI
-2 from .routers.googlelens_router import router
-3 
-4 app = FastAPI()
-5 app.include_router(router)
-
-File: requirements.txt
-1 fastapi
-2 django
-3 gradio
-4 pytest
-
-File: tests/__init__.py
-1 # empty file
-
-File: tests/test_googlelens.py
-1 from googlelens.main import app
-2 from fastapi.testclient import TestClient
-3 import pytest
-4 from unittest.mock import patch
-5 
-6 client = TestClient(app)
-7 
-8 def test_create_googlelens():
-9     response = client.post("/googlelens", json={"image": "image_data", "data": "data"})
-10     assert response.status_code == 200
-11 
-12 @patch("googlelens.views.GoogleLensView.post")
-13 def test_googlelens_view(mock_post):
-14     mock_post.return_value = {"image": "image_data", "data": "data"}
-15     response = client.post("/googlelens", json={"image": "image_data", "data": "data"})
-16     assert response.status_code == 200
-
-File: gradio_interface.py
-1 import gradio as gr
-2 
-3 with gr.Blocks() as gradio_interface:
-4     gr.Markdown("CRUD Application")
-
-File: fastapi_app.py
-1 from fastapi import FastAPI
-2 from googlelens.main import app
-3 
-4 app = FastAPI()
-5 app.mount("/googlelens", app)
-
-File: settings.py
-1 INSTALLED_APPS = [
-2     'django.contrib.admin',
-3     'django.contrib.auth',
-4     'django.contrib.contenttypes',
-5     'django.contrib.sessions',
-6     'django.contrib.messages',
-7     'django.contrib.staticfiles',
-8     'googlelens',
-9 ]
-10 
-11 DATABASES = {
-12     'default': {
-13         'ENGINE': 'django.db.backends.sqlite3',
-14         'NAME': 'googlelens.db',
-15     }
-16 }
-
-File: urls.py
-1 from django.urls import path, include
-2 
-3 urlpatterns = [
-4     path('admin/', admin.site.urls),
-5     path('googlelens/', include('googlelens.urls')),
-6 ]
-
-File: wsgi.py
-1 import os
-2 import sys
-3 
-4 from django.core.wsgi import get_wsgi_application
-5 
-6 os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'googlelens.settings')
-7 
-8 application = get_wsgi_application()
-
-File: templates/base.html
-1 <!DOCTYPE html>
-2 <html>
-3 <head>
-4     <title>Google Lens CRUD Application</title>
-5 </head>
-6 <body>
-7     <h1>Google Lens CRUD Application</h1>
-8 </body>
-9 </html>
-
-File: admin.py
-1 from django.contrib import admin
-2 from .models import GoogleLensModel
-3 
-4 admin.site.register(GoogleLensModel)
-
-File: apps.py
-1 from django.apps import AppConfig
-2 
-3 class GoogleLensConfig(AppConfig):
-4     name = 'googlelens'
-5     verbose_name = 'Google Lens CRUD Application'
-
-File: models.py
-1 from django.db import models
-2 
-3 class GoogleLensModel(models.Model):
-4     image = models.ImageField(upload_to='images/')
-5     data = models.TextField()
-6 
-7     def __str__(self):
-8         return self.data
-
-File: tests.py
-1 from django.test import TestCase
-2 from .models import GoogleLensModel
-3 
-4 class TestGoogleLensModel(TestCase):
-5     def test_googlelens_model(self):
-6         googlelens_model = GoogleLensModel(image="image_data", data="data")
-7         self.assertEqual(str(googlelens_model), "data")
-
-File: views.py
-1 from django.shortcuts import render
-2 from .models import GoogleLensModel
-3 
-4 def googlelens_view(request):
-5     googlelens_models = GoogleLensModel.objects.all()
-6     return render(request, 'base.html', {'googlelens_models': googlelens_models})
-
-File: README.md
-1 # Google Lens CRUD Application
-2 
-3 This is a Google Lens CRUD application using Django and FastAPI.
-4 
-5 ## Design
-6 
-7 The application consists of the following components:
-8 
-9 * Django for the backend API
-10 * FastAPI for the API router
-11 * Gradio for the frontend interface
-12 * Django admin for the admin interface
-13 
-14 ## Sequence Diagram
-15 
-16 @startuml
-17 participant "User" as user
-18 participant "Gradio Interface" as gradio
-19 participant "FastAPI" as fastapi
-20 participant "Django API" as django_api
-21 participant "Django Admin" as django_admin
-22 
-23 user -> gradio: Request
-24 gradio -> fastapi: Request
-25 fastapi -> django_api: Request
-26 django_api -> django_admin: Request
-27 django_admin -> django_api: Response
-28 django_api -> fastapi: Response
-29 fastapi -> gradio: Response
-30 gradio -> user: Response
-31 @enduml
-
-File: plantuml_sequence.puml
-1 @startuml
-2 participant "User" as user
-3 participant "Gradio Interface" as gradio
-4 participant "FastAPI" as fastapi
-5 participant "Django API" as django_api
-6 participant "Django Admin" as django_admin
-7 
-8 user -> gradio: Request
-9 gradio -> fastapi: Request
-10 fastapi -> django_api: Request
-11 django_api -> django_admin: Request
-12 django_admin -> django_api: Response
-13 django_api -> fastapi: Response
-14 fastapi -> gradio: Response
-15 gradio -> user: Response
-16 @enduml
-
-File: aws_lambda_template.yaml
-1 AWSTemplateFormatVersion: '2010-09-09'
-2 Transform:
-3 - AWS::Serverless-2016-10-31
-4 
-5 Resources:
-6   GoogleLensFunction:
-7     Type: AWS::Serverless::Function
-8     Properties:
-9       FunctionName: !Sub 'googlelens-${AWS::Region}'
-10       Runtime: python3.8
-11       Handler: index.handler
-12       Code:
-13         S3Bucket: !Sub 'googlelens-bucket-${AWS::Region}'
-14         S3ObjectVersion: !Sub 'googlelens-object-version-${AWS::Region}'
-15       Environment:
-16         BUCKET_NAME: !Sub 'googlelens-bucket-${AWS::Region}'
-17       Events:
-18         GoogleLensApi:
-19           Type: Api
-20           Properties:
-21             Path: /googlelens
-22             Method: post
-
-File: sam_config.toml
-1 [default]
-2 runtime = "python3.8"
-3 handler = "index.handler"
-
-```
-
-================================== Ai Message ==================================
-
-Here is a Unix script that installs dependencies and runs the codebase:
-```
-#!/bin/bash
-
-# Install dependencies
-pip install -r requirements.txt
-
-# Run the FastAPI application
-uvicorn googlelens.main:app --host 0.0.0.0 --port 8000 &
-
-# Run the Django development server
-python manage.py runserver 0.0.0.0:8001 &
-```
-Note: This script assumes that you are running it from the root directory of the codebase. It installs the dependencies listed in `requirements.txt`, runs the FastAPI application using `uvicorn`, and runs the Django development server using `manage.py`. The `&` at the end of each command runs them in the background, allowing them to run concurrently.

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/README.md

@@ -1,31 +0,0 @@
-# Google Lens CRUD Application
-
-This is a Google Lens CRUD application using Django and FastAPI.
-
-## Design
-
-The application consists of the following components:
-
-* Django for the backend API
-* FastAPI for the API router
-* Gradio for the frontend interface
-* Django admin for the admin interface
-
-## Sequence Diagram
-
-@startuml
-participant "User" as user
-participant "Gradio Interface" as gradio
-participant "FastAPI" as fastapi
-participant "Django API" as django_api
-participant "Django Admin" as django_admin
-
-user -> gradio: Request
-gradio -> fastapi: Request
-fastapi -> django_api: Request
-django_api -> django_admin: Request
-django_admin -> django_api: Response
-django_api -> fastapi: Response
-fastapi -> gradio: Response
-gradio -> user: Response
-@enduml

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/Structure

@@ -1,37 +0,0 @@
-googlelens/
-googlelens/
-__init__.py
-models/
-__init__.py
-googlelens_model.py
-views/
-__init__.py
-googlelens_view.py
-serializers/
-__init__.py
-googlelens_serializer.py
-routers/
-__init__.py
-googlelens_router.py
-main.py
-requirements.txt
-tests/
-__init__.py
-test_googlelens.py
-gradio_interface.py
-fastapi_app.py
-settings.py
-urls.py
-wsgi.py
-templates/
-base.html
-admin.py
-apps.py
-models.py
-tests.py
-views.py
-__init__.py
-README.md
-plantuml_sequence.puml
-aws_lambda_template.yaml
-sam_config.toml

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/admin.py

@@ -1,4 +0,0 @@
-from django.contrib import admin
-from .models import GoogleLensModel
-
-admin.site.register(GoogleLensModel)

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/apps.py

@@ -1,5 +0,0 @@
-from django.apps import AppConfig
-
-class GoogleLensConfig(AppConfig):
-    name = 'googlelens'
-    verbose_name = 'Google Lens CRUD Application'

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/aws_lambda_template.yaml

@@ -1,22 +0,0 @@
-AWSTemplateFormatVersion: '2010-09-09'
-Transform:
-- AWS::Serverless-2016-10-31
-
-Resources:
-  GoogleLensFunction:
-    Type: AWS::Serverless::Function
-    Properties:
-      FunctionName: !Sub 'googlelens-${AWS::Region}'
-      Runtime: python3.8
-      Handler: index.handler
-      Code:
-        S3Bucket: !Sub 'googlelens-bucket-${AWS::Region}'
-        S3ObjectVersion: !Sub 'googlelens-object-version-${AWS::Region}'
-      Environment:
-        BUCKET_NAME: !Sub 'googlelens-bucket-${AWS::Region}'
-      Events:
-        GoogleLensApi:
-          Type: Api
-          Properties:
-            Path: /googlelens
-            Method: post

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/fastapi_app.py

@@ -1,5 +0,0 @@
-from fastapi import FastAPI
-from googlelens.main import app
-
-app = FastAPI()
-app.mount("/googlelens", app)

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/googlelens/__init__.py

@@ -1 +0,0 @@
-# empty file

routers/20240607081323_creategoog_U7a972c5cc46e966de21ff1cd3adc6d52/googlelens/main.py

@@ -1,5 +0,0 @@
-from fastapi import FastAPI
-from .routers.googlelens_router import router
-
-app = FastAPI()
-app.include_router(router)