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Update chat_app_remote.py
Browse files- chat_app_remote.py +76 -237
chat_app_remote.py
CHANGED
@@ -1,202 +1,15 @@
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# import gradio as gr
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# from gradio_client import Client
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# import uuid
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# import warnings
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# import numpy as np
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# import json
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# import os
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# from gradio_client import Client, FileData, handle_file
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# warnings.filterwarnings("ignore")
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# import tempfile
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# import scipy.io.wavfile as wavfile
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-
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# client = Client(os.environ['src'])
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-
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# custom_css = """
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# .gradio-container {
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# justify-content: flex-start !important;
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# }
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# """
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# def create_frontend_demo():
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# # This function always uses the session ID stored per browser session (via gr.State).
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# # The session_id is generated on startup if missing and should not be changed arbitrarily.
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# def chat_function(message, history, session_id):
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# if not session_id:
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# # Generate a new session ID if not available in the client's local state.
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# session_id = "user_" + uuid.uuid4().hex[:8]
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# result = client.predict(
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# message, # message
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# history, # conversation history
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# session_id, # session id as defined in the front-end per client
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# fn_index=0 # function to call in the backend
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# )
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# # The backend returns: empty_string, new_history, audio_path, display_text
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# _, new_history, audio_path, display_text = result
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# # Return an empty message, the updated history, the audio path, the session_id, and a display text.
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# return "", new_history, audio_path, session_id, display_text
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-
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# with gr.Blocks(css=custom_css, theme="Respair/[email protected]") as demo:
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# # The session_id_state is stored per front-end session, so each user gets their own.
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# session_id_state = gr.State("")
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# with gr.Tabs() as tabs:
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# with gr.Tab("Chat"):
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# # Display the session id visibly in the Chat tab.
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# session_display = gr.Markdown("Current Session ID: None", label="Session ID")
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# chatbot = gr.Chatbot(
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# label="Conversation History",
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# height=400,
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# avatar_images=[
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# "photo_2024-03-01_22-30-42.jpg",
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# "colored_blured.png"
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# ],
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# placeholder="Start chatting with Aira..."
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# )
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# gr.Markdown(
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# """Please, go to the Options tab and set a session ID. Do not start with 'None'.<br>
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# オプションタブに移動して、セッションIDを設定してください。Noneから始めないでください"""
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# )
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# # Use only a textbox for input (no visible send button)
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# with gr.Column():
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# msg = gr.Textbox(
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# show_label=False,
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# placeholder="Enter text and press enter",
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# container=True
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# )
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# audio_output = gr.Audio(
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# label="Aira's Response",
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# type="filepath",
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# streaming=False,
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# autoplay=True
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# )
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# with gr.Row():
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# audio_input = gr.Audio(
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# sources=["microphone"],
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# type="numpy",
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# label="Audio Input",
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# streaming=False
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# )
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# with gr.Tab("Options"):
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# with gr.Column():
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# # This textbox lets the user set their session id only for this client
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# session_input = gr.Textbox(
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# value="",
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# label="Session ID (leave blank for new session)"
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# )
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# gen_id_btn = gr.Button("Set Session ID")
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# session_msg = gr.Markdown("")
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# clear_btn = gr.Button("Clear Conversation")
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# gr.Markdown(
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# """
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# This is a personal project I wanted to do for a while (G̶o̶t̶t̶a̶ ̶m̶a̶k̶e̶ ̶u̶s̶e̶ ̶o̶f̶ ̶t̶h̶i̶s̶ ̶P̶r̶o̶ ̶s̶u̶b̶ ̶p̶e̶r̶k̶s̶ ̶w̶h̶i̶l̶e̶ ̶I̶ ̶h̶a̶v̶e̶ ̶i̶t̶). <br>
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# Aira's voice was designed to be unique; it doesn't belong to any real person out there. <br>
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# Her design is also based on a VTuber project I did a few years ago (notice the lazy brush strokes).<br><br>
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# You can talk to her in English or Japanese, but she will only respond in Japanese
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# (Subs over dubs, bros). Ask her to give you a Subtitle if you can't talk in Japanese. <br>
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# The majority of the latency depends on HF's inference API.
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# The language modelling part is off-the-shelf and not fine-tuned – please beware of that.
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# 1. Enter your Session ID above or leave blank for a new one.
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# 2. Click 'Set Session ID' to confirm.
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# 3. Use 'Clear Conversation' to reset the chat.
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# 4. Your conversation history is saved on a per-session basis.
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# I'll try to keep this demo up for as long as I can afford.
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# """
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# )
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# def respond(message, chat_history, session_id):
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# return chat_function(message, chat_history, session_id)
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# # Submit text input with Enter key
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# msg.submit(
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# respond,
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# inputs=[msg, chatbot, session_id_state],
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# outputs=[msg, chatbot, audio_output, session_id_state, session_display]
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# )
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# # Set session function that simply uses or generates a unique session id
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# def set_session(user_id):
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# if not user_id.strip():
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# new_id = "user_" + uuid.uuid4().hex[:8]
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# display_text = f"Current Session ID: {new_id}"
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# return new_id, "", display_text
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# else:
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# display_text = f"Current Session ID: {user_id}"
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# return user_id, "", display_text
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# gen_id_btn.click(
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# set_session,
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# inputs=[session_input],
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# outputs=[session_id_state, session_msg, session_display]
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# )
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# def handle_audio(audio_data, history, session_id):
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# if audio_data is None:
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# return None, history, session_id, f"Current Session ID: {session_id}"
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# try:
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# sample_rate, audio_array = audio_data
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# with tempfile.NamedTemporaryFile(suffix='.wav', delete=True) as temp:
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# wavfile.write(temp.name, sample_rate, audio_array)
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# audio = {"path": temp.name, "meta": {"_type": "gradio.FileData"}}
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# result = client.predict(
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# audio,
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# history,
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# session_id,
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# api_name="/handle_audio"
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# )
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# audio_path, new_history, new_session_id = result
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# display_text = f"Current Session ID: {new_session_id}"
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# return audio_path, new_history, new_session_id, display_text
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# except Exception as e:
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# print(f"Error processing audio: {str(e)}")
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# import traceback
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# traceback.print_exc()
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# return None, history, session_id, f"Error processing audio. Session ID: {session_id}"
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# audio_input.stop_recording(
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# handle_audio,
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# inputs=[audio_input, chatbot, session_id_state],
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# outputs=[audio_output, chatbot, session_id_state, session_display]
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# )
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# clear_btn.click(
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# lambda: [],
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# None,
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# [chatbot]
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# )
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# return demo
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# if __name__ == "__main__":
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# demo = create_frontend_demo()
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# demo.launch(show_error=True)
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import gradio as gr
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from gradio_client import Client
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import uuid
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import warnings
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import numpy as np
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import os
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import tempfile
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import scipy.io.wavfile as wavfile
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warnings.filterwarnings("ignore")
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# Set up the client for your backend on Hugging Face Spaces
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client = Client(os.environ['src'])
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custom_css = """
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"""
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def create_frontend_demo():
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#
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#
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def chat_function(message, history, session_id):
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# If no session id exists in gr.State, generate a new one locally.
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if not session_id:
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# Call the backend with our new_session even if one was previously returned.
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result = client.predict(
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message,
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history,
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fn_index=0
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)
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-
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#
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_, new_history, audio_path, returned_session, display_text = result
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# Debug: if you want to check what was returned, uncomment the line below.
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# print("Backend returned session id:", returned_session, "using ours:", new_session)
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return "", new_history, audio_path, new_session, display_text
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with gr.Blocks(css=custom_css, theme="default") as demo:
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# gr.State stores the session id, which is kept in memory.
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session_id_state = gr.State("")
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with gr.Tabs():
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with gr.Tab("Chat"):
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session_display = gr.Markdown("Current Session ID: None", label="Session ID")
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chatbot = gr.Chatbot(
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label="Conversation History",
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height=400,
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-
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)
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gr.Markdown(
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"
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msg = gr.Textbox(
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show_label=False,
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placeholder="Enter text and press Enter",
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container=True
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)
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audio_output = gr.Audio(
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label="
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type="filepath",
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streaming=False,
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autoplay=True
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)
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with gr.Row():
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audio_input = gr.Audio(
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sources=["microphone"],
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label="Audio Input",
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streaming=False
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)
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with gr.Tab("Options"):
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with gr.Column():
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session_input = gr.Textbox(
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value="",
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label="Session ID (leave blank for new session)"
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gen_id_btn = gr.Button("Set Session ID")
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session_msg = gr.Markdown("")
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clear_btn = gr.Button("Clear Conversation")
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gr.Markdown(
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"""
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"""
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)
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def respond(message, chat_history, session_id):
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return chat_function(message, chat_history, session_id)
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msg.submit(
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respond,
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inputs=[msg, chatbot, session_id_state],
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outputs=[msg, chatbot, audio_output, session_id_state, session_display]
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)
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#
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def set_session(user_id):
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if not user_id.strip():
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new_id = "user_" + uuid.uuid4().hex[:8]
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inputs=[session_input],
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outputs=[session_id_state, session_msg, session_display]
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)
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-
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# Handler for audio input (if implemented).
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def handle_audio(audio_data, history, session_id):
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if audio_data is None:
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return None, history, session_id, f"Current Session ID: {session_id}"
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session_id,
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api_name="/handle_audio"
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)
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-
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-
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display_text = f"Current Session ID: {session_id}"
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return audio_path, new_history, session_id, display_text
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except Exception as e:
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print(f"Error processing audio: {str(e)}")
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return None, history, session_id, f"Error processing audio. Session ID: {session_id}"
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audio_input.stop_recording(
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outputs=[audio_output, chatbot, session_id_state, session_display]
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)
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clear_btn.click(
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return demo
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if __name__ == "__main__":
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demo = create_frontend_demo()
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demo.launch(show_error=True)
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1 |
import gradio as gr
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2 |
from gradio_client import Client
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3 |
import uuid
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4 |
import warnings
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5 |
import numpy as np
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6 |
+
import json
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import os
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8 |
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from gradio_client import Client, FileData, handle_file
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warnings.filterwarnings("ignore")
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import tempfile
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11 |
import scipy.io.wavfile as wavfile
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12 |
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client = Client(os.environ['src'])
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14 |
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custom_css = """
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"""
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20 |
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21 |
def create_frontend_demo():
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22 |
+
# This function always uses the session ID stored per browser session (via gr.State).
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23 |
+
# The session_id is generated on startup if missing and should not be changed arbitrarily.
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24 |
def chat_function(message, history, session_id):
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25 |
if not session_id:
|
26 |
+
# Generate a new session ID if not available in the client's local state.
|
27 |
+
session_id = "user_" + uuid.uuid4().hex[:8]
|
28 |
+
|
|
|
|
|
29 |
result = client.predict(
|
30 |
+
message, # message
|
31 |
+
history, # conversation history
|
32 |
+
session_id, # session id as defined in the front-end per client
|
33 |
+
fn_index=0 # function to call in the backend
|
34 |
)
|
35 |
+
|
36 |
+
# The backend returns: empty_string, new_history, audio_path, display_text
|
37 |
+
_, new_history, audio_path, display_text = result
|
38 |
+
|
39 |
+
# Return an empty message, the updated history, the audio path, the session_id, and a display text.
|
40 |
+
return "", new_history, audio_path, session_id, display_text
|
41 |
|
42 |
+
with gr.Blocks(css=custom_css, theme="Respair/[email protected]") as demo:
|
43 |
+
# The session_id_state is stored per front-end session, so each user gets their own.
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
44 |
session_id_state = gr.State("")
|
45 |
+
|
46 |
+
with gr.Tabs() as tabs:
|
47 |
with gr.Tab("Chat"):
|
48 |
+
# Display the session id visibly in the Chat tab.
|
49 |
session_display = gr.Markdown("Current Session ID: None", label="Session ID")
|
50 |
chatbot = gr.Chatbot(
|
51 |
label="Conversation History",
|
52 |
height=400,
|
53 |
+
avatar_images=[
|
54 |
+
"photo_2024-03-01_22-30-42.jpg",
|
55 |
+
"colored_blured.png"
|
56 |
+
],
|
57 |
+
placeholder="Start chatting with Aira..."
|
58 |
)
|
59 |
+
|
60 |
gr.Markdown(
|
61 |
+
"""Please, go to the Options tab and set a session ID. Do not start with 'None'.<br>
|
62 |
+
オプションタブに移動して、セッションIDを設定してください。Noneから始めないでください"""
|
|
|
|
|
|
|
|
|
63 |
)
|
64 |
+
|
65 |
+
# Use only a textbox for input (no visible send button)
|
66 |
+
with gr.Column():
|
67 |
+
msg = gr.Textbox(
|
68 |
+
show_label=False,
|
69 |
+
placeholder="Enter text and press enter",
|
70 |
+
container=True
|
71 |
+
)
|
72 |
+
|
73 |
audio_output = gr.Audio(
|
74 |
+
label="Aira's Response",
|
75 |
type="filepath",
|
76 |
streaming=False,
|
77 |
autoplay=True
|
78 |
)
|
79 |
+
|
80 |
with gr.Row():
|
81 |
audio_input = gr.Audio(
|
82 |
sources=["microphone"],
|
|
|
84 |
label="Audio Input",
|
85 |
streaming=False
|
86 |
)
|
87 |
+
|
88 |
with gr.Tab("Options"):
|
89 |
with gr.Column():
|
90 |
+
# This textbox lets the user set their session id only for this client
|
91 |
session_input = gr.Textbox(
|
92 |
value="",
|
93 |
label="Session ID (leave blank for new session)"
|
|
|
95 |
gen_id_btn = gr.Button("Set Session ID")
|
96 |
session_msg = gr.Markdown("")
|
97 |
clear_btn = gr.Button("Clear Conversation")
|
98 |
+
|
99 |
gr.Markdown(
|
100 |
"""
|
101 |
+
This is a personal project I wanted to do for a while (G̶o̶t̶t̶a̶ ̶m̶a̶k̶e̶ ̶u̶s̶e̶ ̶o̶f̶ ̶t̶h̶i̶s̶ ̶P̶r̶o̶ ̶s̶u̶b̶ ̶p̶e̶r̶k̶s̶ ̶w̶h̶i̶l̶e̶ ̶I̶ ̶h̶a̶v̶e̶ ̶i̶t̶). <br>
|
102 |
+
Aira's voice was designed to be unique; it doesn't belong to any real person out there. <br>
|
103 |
+
|
104 |
+
Her design is also based on a VTuber project I did a few years ago (notice the lazy brush strokes).<br><br>
|
105 |
+
|
106 |
+
You can talk to her in English or Japanese, but she will only respond in Japanese
|
107 |
+
(Subs over dubs, bros). Ask her to give you a Subtitle if you can't talk in Japanese. <br>
|
108 |
+
|
109 |
+
The majority of the latency depends on HF's inference API.
|
110 |
+
The language modelling part is off-the-shelf and not fine-tuned – please beware of that.
|
111 |
+
|
112 |
+
1. Enter your Session ID above or leave blank for a new one.
|
113 |
+
2. Click 'Set Session ID' to confirm.
|
114 |
+
3. Use 'Clear Conversation' to reset the chat.
|
115 |
+
4. Your conversation history is saved on a per-session basis.
|
116 |
+
|
117 |
+
I'll try to keep this demo up for as long as I can afford.
|
118 |
"""
|
119 |
)
|
120 |
|
121 |
def respond(message, chat_history, session_id):
|
122 |
return chat_function(message, chat_history, session_id)
|
123 |
|
124 |
+
# Submit text input with Enter key
|
125 |
msg.submit(
|
126 |
respond,
|
127 |
inputs=[msg, chatbot, session_id_state],
|
128 |
outputs=[msg, chatbot, audio_output, session_id_state, session_display]
|
129 |
)
|
130 |
|
131 |
+
# Set session function that simply uses or generates a unique session id
|
132 |
def set_session(user_id):
|
133 |
if not user_id.strip():
|
134 |
new_id = "user_" + uuid.uuid4().hex[:8]
|
|
|
143 |
inputs=[session_input],
|
144 |
outputs=[session_id_state, session_msg, session_display]
|
145 |
)
|
146 |
+
|
|
|
147 |
def handle_audio(audio_data, history, session_id):
|
148 |
if audio_data is None:
|
149 |
return None, history, session_id, f"Current Session ID: {session_id}"
|
|
|
159 |
session_id,
|
160 |
api_name="/handle_audio"
|
161 |
)
|
162 |
+
audio_path, new_history, new_session_id = result
|
163 |
+
display_text = f"Current Session ID: {new_session_id}"
|
164 |
+
return audio_path, new_history, new_session_id, display_text
|
|
|
|
|
165 |
except Exception as e:
|
166 |
print(f"Error processing audio: {str(e)}")
|
167 |
+
import traceback
|
168 |
+
traceback.print_exc()
|
169 |
return None, history, session_id, f"Error processing audio. Session ID: {session_id}"
|
170 |
|
171 |
audio_input.stop_recording(
|
|
|
174 |
outputs=[audio_output, chatbot, session_id_state, session_display]
|
175 |
)
|
176 |
|
177 |
+
clear_btn.click(
|
178 |
+
lambda: [],
|
179 |
+
None,
|
180 |
+
[chatbot]
|
181 |
+
)
|
182 |
|
183 |
return demo
|
184 |
|
185 |
if __name__ == "__main__":
|
186 |
demo = create_frontend_demo()
|
187 |
+
demo.launch(show_error=True)
|