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Update app.py
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app.py
CHANGED
@@ -2,9 +2,12 @@ import gradio as gr
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import openai
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import os
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import json
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# OpenAI API setup
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openai.api_key =
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openai.api_base = "https://api.groq.com/openai/v1"
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# File to store conversation history
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@@ -39,18 +42,29 @@ def clear_conversation_history():
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except Exception as e:
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return f"Error clearing history: {e}", ""
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# Function to format
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def
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"""
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"""
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# Function to get response from the LLM
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def get_groq_response(message, history=[]):
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model="llama-3.1-70b-versatile",
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messages=messages
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)
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return
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except Exception as e:
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return f"Error: {str(e)}"
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# Chatbot function
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def chatbot(user_input, history):
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# Load conversation history
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# Get bot response
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bot_response = get_groq_response(user_input, formatted_history)
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# Update history with the new conversation
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conversation_history.append((user_input, bot_response))
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@@ -91,7 +113,7 @@ def chatbot(user_input, history):
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return conversation_history, display_html, "" # Clear the user input field
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# Gradio Interface
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with gr.Blocks(css="""
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.user-message {
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background-color: #9ACBD0;
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transform: scale(1.02);
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box-shadow: 0px 4px 10px rgba(0, 0, 0, 0.1);
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}
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""") as demo:
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gr.Markdown("""# Mom: We have ChatGPT at Home, \n ChatGPT at Home: """)
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@@ -134,3 +171,4 @@ with gr.Blocks(css="""
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# Launch the app
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demo.launch()
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import openai
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import os
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import json
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import markdown
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import re
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import time
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# OpenAI API setup
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openai.api_key = "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"
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openai.api_base = "https://api.groq.com/openai/v1"
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# File to store conversation history
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except Exception as e:
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return f"Error clearing history: {e}", ""
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# Function to format code block
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def format_code_block(code):
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"""Wraps the provided code in <pre> and <code> tags for proper display."""
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return f"<pre><code>{code}</code></pre>"
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def format_code_and_markdown(response):
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"""
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Handles both code blocks and markdown formatting simultaneously.
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- Converts code blocks into HTML <pre><code> tags.
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- Converts markdown syntax (e.g., bold, italics) into HTML tags.
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"""
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# Convert code blocks to HTML <pre><code>...</code></pre> format
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def process_code_blocks(text):
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code_block_pattern = re.compile(r'```python\n(.*?)```', re.DOTALL)
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return re.sub(code_block_pattern, r'<pre><code>\1</code></pre>', text)
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# Process the text to handle code blocks
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response = process_code_blocks(response)
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# Convert Markdown to HTML
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html_response = markdown.markdown(response)
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return html_response
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# Function to get response from the LLM
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def get_groq_response(message, history=[]):
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model="llama-3.1-70b-versatile",
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messages=messages
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)
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return format_code_and_markdown(response.choices[0].message["content"])
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except Exception as e:
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return f"Error: {str(e)}"
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# Function to simulate typing effect
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def simulate_typing_effect(response, delay=1):
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time.sleep(delay)
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return response
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# Chatbot function
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def chatbot(user_input, history):
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# Load conversation history
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# Get bot response
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bot_response = get_groq_response(user_input, formatted_history)
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# Simulate typing delay
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bot_response = simulate_typing_effect(bot_response)
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# Update history with the new conversation
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conversation_history.append((user_input, bot_response))
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return conversation_history, display_html, "" # Clear the user input field
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# Gradio Interface with enhanced UI/UX styling
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with gr.Blocks(css="""
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.user-message {
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background-color: #9ACBD0;
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transform: scale(1.02);
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box-shadow: 0px 4px 10px rgba(0, 0, 0, 0.1);
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}
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.chat-container {
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max-height: 500px;
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overflow-y: auto;
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margin-bottom: 20px;
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}
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.gradio-button {
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background-color: #4CAF50;
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color: white;
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border-radius: 5px;
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padding: 10px 20px;
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font-size: 16px;
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}
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.gradio-button:hover {
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background-color: #45a049;
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}
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""") as demo:
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gr.Markdown("""# Mom: We have ChatGPT at Home, \n ChatGPT at Home: """)
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# Launch the app
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demo.launch()
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