Update app.py
Browse files
app.py
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import asyncio
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import logging
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import gradio as gr
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from services.qwen import respond
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logger = logging.getLogger(__name__)
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# Track conversation state
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conversation_history = []
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def clear_conversation():
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global conversation_history
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conversation_history = []
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return [],None
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def sync_respond(audio, text_input, do_search, history):
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if not audio and not text_input:
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return None, history
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logger.info(f"Processing request with search enabled: {do_search}")
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result = asyncio.run(respond(audio, text_input, do_search, history))
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audio_path, response_text = result
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if audio:
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user_message = {"role": "user", "content": "Voice message"}
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else:
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user_message = {"role": "user", "content": text_input}
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assistant_message = {"role": "assistant", "content": response_text}
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history.extend([user_message, assistant_message])
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return audio_path, history
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# Build Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as interface:
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gr.Markdown(
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"""
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<div style="text-align: center; margin-bottom: 1rem;">
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<h1 style="font-weight: bold;">ConversAI: AI Voice & Chat Assistant</h1>
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</div>
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""",
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show_label=False
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)
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# Input components (left column)
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with gr.Row():
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with gr.Column(scale=2):
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audio_input = gr.Audio(
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label="Your Voice Input",
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type="filepath",
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sources=["microphone"]
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)
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text_input = gr.Textbox(
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label="Or Type Your Message",
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placeholder="Type here..."
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)
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search_checkbox = gr.Checkbox(
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label="Enable web search",
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value=False
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)
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clear_btn = gr.Button("Clear Chat")
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# Output components (right column)
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with gr.Column(scale=3):
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chatbot = gr.Chatbot(label="Conversation", type="messages")
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audio_output = gr.Audio(
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label="AI Voice Response",
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type="filepath",
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autoplay=True
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)
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# Define input event handlers
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input_events = [
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audio_input.change(
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fn=sync_respond,
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inputs=[audio_input, text_input,search_checkbox, chatbot],
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outputs=[audio_output, chatbot]
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),
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text_input.submit(
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fn=sync_respond,
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inputs=[audio_input, text_input, search_checkbox, chatbot],
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outputs=[audio_output, chatbot]
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)
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]
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# Clear chat button handler
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clear_btn.click(
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fn=clear_conversation,
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outputs=[chatbot, audio_output]
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)
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# Start server
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if __name__ == "__main__":
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interface.launch(
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server_name="0.0.0.0",
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server_port=7860,
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debug=True
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)
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import asyncio
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import logging
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import gradio as gr
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from services.qwen import respond
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logger = logging.getLogger(__name__)
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# Track conversation state
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conversation_history = []
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def clear_conversation():
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global conversation_history
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conversation_history = []
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return [],None
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def sync_respond(audio, text_input, do_search, history):
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if not audio and not text_input:
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return None, history
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logger.info(f"Processing request with search enabled: {do_search}")
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result = asyncio.run(respond(audio, text_input, do_search, history))
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audio_path, response_text = result
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if audio:
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user_message = {"role": "user", "content": "Voice message"}
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else:
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user_message = {"role": "user", "content": text_input}
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assistant_message = {"role": "assistant", "content": response_text}
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history.extend([user_message, assistant_message])
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return audio_path, history
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# Build Gradio interface
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with gr.Blocks(theme=gr.themes.Soft()) as interface:
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gr.Markdown(
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"""
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<div style="text-align: center; margin-bottom: 1rem;">
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<h1 style="font-weight: bold;">ConversAI: AI Voice & Chat Assistant</h1>
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</div>
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""",
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show_label=False
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)
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# Input components (left column)
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with gr.Row():
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with gr.Column(scale=2):
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audio_input = gr.Audio(
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label="Your Voice Input",
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type="filepath",
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sources=["microphone"]
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)
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text_input = gr.Textbox(
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label="Or Type Your Message",
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placeholder="Type here..."
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)
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search_checkbox = gr.Checkbox(
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label="Enable web search",
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value=False
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)
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clear_btn = gr.Button("Clear Chat")
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# Output components (right column)
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with gr.Column(scale=3):
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chatbot = gr.Chatbot(label="Conversation", type="messages")
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audio_output = gr.Audio(
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label="AI Voice Response",
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type="filepath",
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autoplay=True
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)
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# Define input event handlers
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input_events = [
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audio_input.change(
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fn=sync_respond,
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inputs=[audio_input, text_input,search_checkbox, chatbot],
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outputs=[audio_output, chatbot]
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),
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text_input.submit(
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fn=sync_respond,
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inputs=[audio_input, text_input, search_checkbox, chatbot],
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outputs=[audio_output, chatbot]
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)
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]
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# Clear chat button handler
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clear_btn.click(
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fn=clear_conversation,
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outputs=[chatbot, audio_output]
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)
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# Start server
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if __name__ == "__main__":
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interface.launch(debug=True)
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