Update app.py

app.py

@@ -1635,55 +1635,58 @@ files_list = [
 ]
 
 
+file_dropdown = gr.Dropdown(label="Select Document", choices=files_list, value=None)
 
 
-
-# with gr.Blocks(theme='gradio/soft') as demo:
+with gr.Blocks(theme='gradio/soft') as demo:
 
    
-#     with gr.Row():
-#         with gr.Column():
-#             state = gr.State()
+    with gr.Row():
+        with gr.Column():
+            state = gr.State()
 
-#             chatbot = gr.Chatbot([], elem_id="RADAR:Channel 94.1", bubble_full_width=False)
-#             choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational",interactive=False,visible=False)
-#             retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB", "KGF"], value="VDB",interactive=False,visible=False)
-#             model_choice = gr.Dropdown(label="Choose Model", choices=["LM-2"], value="LM-2")
+            # File dropdown
+            file_dropdown = gr.Dropdown(label="Select Document", choices=files_list, value=None)
+
+            chatbot = gr.Chatbot([], elem_id="RADAR:Channel 94.1", bubble_full_width=False)
+            choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational",interactive=False,visible=False)
+            retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB", "KGF"], value="VDB",interactive=False,visible=False)
+            model_choice = gr.Dropdown(label="Choose Model", choices=["LM-2"], value="LM-2")
 
-#             # Link the dropdown change to handle_model_choice_change
-#             model_choice.change(fn=handle_model_choice_change, inputs=model_choice, outputs=[retrieval_mode, choice, choice])
+            # Link the dropdown change to handle_model_choice_change
+            model_choice.change(fn=handle_model_choice_change, inputs=model_choice, outputs=[retrieval_mode, choice, choice])
 
-#             # gr.Markdown("<h1 style='color: red;'>Talk to RADAR</h1>", elem_id="voice-markdown")
+            # gr.Markdown("<h1 style='color: red;'>Talk to RADAR</h1>", elem_id="voice-markdown")
 
-#             chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!")
-#             tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta"], value="Alpha")
+            chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!")
+            tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta"], value="Alpha")
         
-#             retriever_button = gr.Button("Retriever")
+            retriever_button = gr.Button("Retriever")
 
-#             clear_button = gr.Button("Clear")
-#             clear_button.click(lambda: [None, None], outputs=[chat_input, state])
+            clear_button = gr.Button("Clear")
+            clear_button.click(lambda: [None, None], outputs=[chat_input, state])
 
-#             # gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
-#             # location_output = gr.HTML()
-#             audio_output = gr.Audio(interactive=False, autoplay=True)
+            # gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
+            # location_output = gr.HTML()
+            audio_output = gr.Audio(interactive=False, autoplay=True)
 
-#             def stop_audio():
-#                 audio_output.stop()
-#                 return None
+            def stop_audio():
+                audio_output.stop()
+                return None
 
                
     
            
 
-#             retriever_sequence = (
-#                 retriever_button.click(fn=stop_audio, inputs=[], outputs=[audio_output], api_name="api_stop_audio_recording")
-#                 .then(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory")
-#                 # First, generate the bot response
-#                 .then(fn=generate_bot_response, inputs=[chatbot, choice, retrieval_mode, model_choice], outputs=[chatbot], api_name="api_generate_bot_response")
-#                 # Then, generate the TTS response based on the bot's response
-#                 .then(fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response")
-#                 .then(fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox")
-#             )
+            retriever_sequence = (
+                retriever_button.click(fn=stop_audio, inputs=[], outputs=[audio_output], api_name="api_stop_audio_recording")
+                .then(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory")
+                # First, generate the bot response
+                .then(fn=generate_bot_response, inputs=[chatbot, choice, retrieval_mode, model_choice], outputs=[chatbot], api_name="api_generate_bot_response")
+                # Then, generate the TTS response based on the bot's response
+                .then(fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response")
+                .then(fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox")
+            )
 
 
 
@@ -1692,17 +1695,17 @@ files_list = [
 
             
 
-#             chat_input.submit(fn=stop_audio, inputs=[], outputs=[audio_output], api_name="api_stop_audio_recording").then(
-#                 fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory"
-#             ).then(
-#                 # First, generate the bot response
-#                 fn=generate_bot_response, inputs=[chatbot, choice, retrieval_mode, model_choice], outputs=[chatbot], api_name="api_generate_bot_response"
-#             ).then(
-#                 # Then, generate the TTS response based on the bot's response
-#                 fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response"
-#             ).then(
-#                 fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox"
-#             )
+            chat_input.submit(fn=stop_audio, inputs=[], outputs=[audio_output], api_name="api_stop_audio_recording").then(
+                fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory"
+            ).then(
+                # First, generate the bot response
+                fn=generate_bot_response, inputs=[chatbot, choice, retrieval_mode, model_choice], outputs=[chatbot], api_name="api_generate_bot_response"
+            ).then(
+                # Then, generate the TTS response based on the bot's response
+                fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response"
+            ).then(
+                fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox"
+            )
 
 
 
@@ -1710,31 +1713,31 @@ files_list = [
 
 
 
-#             audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy', every=0.1)
-#             audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="api_voice_to_text")
+            audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy', every=0.1)
+            audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="api_voice_to_text")
             
-#         #     gr.Markdown("<h1 style='color: red;'>Example Prompts</h1>", elem_id="Example-Prompts")
-#         #     gr.Examples(examples=examples, fn=insert_prompt,inputs=chat_input, outputs=chat_input)
+        #     gr.Markdown("<h1 style='color: red;'>Example Prompts</h1>", elem_id="Example-Prompts")
+        #     gr.Examples(examples=examples, fn=insert_prompt,inputs=chat_input, outputs=chat_input)
 
-#         # with gr.Column():
-#         #     weather_output = gr.HTML(value=fetch_local_weather())
-#         #     news_output = gr.HTML(value=fetch_local_news())
-#         #     events_output = gr.HTML(value=fetch_local_events())
+        # with gr.Column():
+        #     weather_output = gr.HTML(value=fetch_local_weather())
+        #     news_output = gr.HTML(value=fetch_local_news())
+        #     events_output = gr.HTML(value=fetch_local_events())
 
-#         # with gr.Column():
+        # with gr.Column():
            
           
-#         #     # Call update_images during the initial load to display images when the interface appears
-#         #     initial_images = update_images()
+        #     # Call update_images during the initial load to display images when the interface appears
+        #     initial_images = update_images()
             
-#         #     # Displaying the images generated using Flux API directly
-#         #     image_output_1 = gr.Image(value=initial_images[0], label="Image 1", elem_id="flux_image_1", width=400, height=400)
-#         #     image_output_2 = gr.Image(value=initial_images[1], label="Image 2", elem_id="flux_image_2", width=400, height=400)
-#         #     image_output_3 = gr.Image(value=initial_images[2], label="Image 3", elem_id="flux_image_3", width=400, height=400)
+        #     # Displaying the images generated using Flux API directly
+        #     image_output_1 = gr.Image(value=initial_images[0], label="Image 1", elem_id="flux_image_1", width=400, height=400)
+        #     image_output_2 = gr.Image(value=initial_images[1], label="Image 2", elem_id="flux_image_2", width=400, height=400)
+        #     image_output_3 = gr.Image(value=initial_images[2], label="Image 3", elem_id="flux_image_3", width=400, height=400)
     
-#         #     # Refresh button to update images
-#         #     refresh_button = gr.Button("Refresh Images")
-#         #     refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
+        #     # Refresh button to update images
+        #     refresh_button = gr.Button("Refresh Images")
+        #     refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
             
 
 
@@ -1742,59 +1745,11 @@ files_list = [
 
            
 
-# demo.queue()
-# demo.launch(show_error=True)
-
-
-with gr.Blocks(theme='gradio/soft') as demo:
-    with gr.Row():
-        with gr.Column():
-            state = gr.State()
-
-            # File dropdown
-            file_dropdown = gr.Dropdown(label="Select Document", choices=files_list, value=None)
-
-            chatbot = gr.Chatbot([], elem_id="RADAR:Channel 94.1", bubble_full_width=False)
-            choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational",interactive=False,visible=False)
-            retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB", "KGF"], value="VDB",interactive=False,visible=False)
-            model_choice = gr.Dropdown(label="Choose Model", choices=["LM-2"], value="LM-2")
-
-            # Link the dropdown change to handle_model_choice_change
-            model_choice.change(fn=handle_model_choice_change, inputs=model_choice, outputs=[retrieval_mode, choice, choice])
-
-            chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!")
-            tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta"], value="Alpha")
-            retriever_button = gr.Button("Retriever")
-            clear_button = gr.Button("Clear")
-            clear_button.click(lambda: [None, None], outputs=[chat_input, state])
-
-            audio_output = gr.Audio(interactive=False, autoplay=True)
-
-            def stop_audio():
-                audio_output.stop()
-                return None
+demo.queue()
+demo.launch(show_error=True)
 
-            # Modify retriever sequence to include file selection
-            retriever_sequence = (
-                retriever_button.click(fn=stop_audio, inputs=[], outputs=[audio_output], api_name="api_stop_audio_recording")
-                .then(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory")
-                # Pass the selected file to the bot response generation
-                .then(fn=generate_answer, inputs=[chatbot, choice, retrieval_mode, model_choice, file_dropdown], outputs=[chatbot], api_name="api_generate_bot_response_with_file")
-                .then(fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response")
-                .then(fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox")
-            )
 
-            chat_input.submit(fn=stop_audio, inputs=[], outputs=[audio_output], api_name="api_stop_audio_recording").then(
-                fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory"
-            ).then(
-                fn=generate_answer, inputs=[chatbot, choice, retrieval_mode, model_choice, file_dropdown], outputs=[chatbot], api_name="api_generate_bot_response_with_file"
-            ).then(
-                fn=generate_tts_response, inputs=[chatbot, tts_choice], outputs=[audio_output], api_name="api_generate_tts_response"
-            ).then(
-                fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox"
-            )
 
-demo.launch()