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Update app.py
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app.py
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@@ -654,95 +654,65 @@ def update_images():
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image_3 = generate_image(hardcoded_prompt_3)
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return image_1, image_2, image_3
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#
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# # with gr.Column():
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# # weather_output = gr.HTML(value=fetch_local_weather())
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# # news_output = gr.HTML(value=fetch_local_news())
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# # news_output = gr.HTML(value=fetch_local_events())
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# image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=400, height=400)
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# image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=400, height=400)
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# image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=400, height=400)
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# refresh_button = gr.Button("Refresh Images")
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# refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
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# location_output = gr.HTML()
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# bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output], api_name="map_finder")
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# demo.launch(share=True)
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retriver_button = gr.Button("Retriever")
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gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
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location_output = gr.HTML()
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retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
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fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever").then(
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fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="map_finder")
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bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot], api_name="generate_voice_response")
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bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
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chatbot.like(print_like_dislike, None, None)
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clear_button = gr.Button("Clear")
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clear_button.click(fn=clear_textbox, inputs=None, outputs=chat_input)
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audio_input = gr.Audio(sources=["microphone"], streaming=False, type='numpy')
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audio_input.change(fn=transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
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send_chunk_button = gr.Button("Send chunk")
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send_chunk_button.click(fn=lambda state: state[1], inputs=[state], outputs=chat_input)
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demo.queue()
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demo.launch(share=True)
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image_3 = generate_image(hardcoded_prompt_3)
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return image_1, image_2, image_3
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with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
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with gr.Row():
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with gr.Column():
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state = gr.State()
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chatbot = gr.Chatbot([], elem_id="RADAR:Channel 94.1", bubble_full_width=False)
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choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational")
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gr.Markdown("<h1 style='color: red;'>Talk to RADAR</h1>", elem_id="voice-markdown")
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chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!",placeholder="After Prompt,click Retriever Only")
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chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], api_name="voice_query")
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tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta", "Gamma"], value="Alpha")
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retriver_button = gr.Button("Retriever")
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gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
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location_output = gr.HTML()
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retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
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fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever").then(
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fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="map_finder")
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bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot], api_name="generate_voice_response")
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bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
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chatbot.like(print_like_dislike, None, None)
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clear_button = gr.Button("Clear")
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clear_button.click(fn=clear_textbox, inputs=None, outputs=chat_input)
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# audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
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# audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
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audio_input = gr.Audio(sources=["microphone"], streaming=False, type='numpy')
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audio_input.change(fn=transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
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send_chunk_button = gr.Button("Send chunk")
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send_chunk_button.click(fn=lambda state: state[1], inputs=[state], outputs=chat_input)
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# with gr.Column():
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# weather_output = gr.HTML(value=fetch_local_weather())
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# news_output = gr.HTML(value=fetch_local_news())
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# news_output = gr.HTML(value=fetch_local_events())
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with gr.Column():
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image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=400, height=400)
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image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=400, height=400)
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image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=400, height=400)
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refresh_button = gr.Button("Refresh Images")
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refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
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location_output = gr.HTML()
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bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output], api_name="map_finder")
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demo.queue()
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demo.launch(share=True)
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