Update app.py

app.py

@@ -527,7 +527,7 @@ def transcribe_function(stream, new_chunk):
 
     result = pipe_asr({"array": stream, "sampling_rate": sr}, return_timestamps=False)
 
-    full_text = result.get("text")
+    full_text = result.get("text","")
     
     return stream, full_text, result
 
@@ -709,6 +709,63 @@ def update_images():
     image_3 = generate_image(hardcoded_prompt_3)
     return image_1, image_2, image_3
 
+# with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
+#     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")
+            
+#             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 !!!")
+#             chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input],api_name="voice_query")
+#             tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta", "Gamma"], value="Alpha")
+#             retriver_button = gr.Button("Retriver")
+#             # retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(fn=bot, inputs=[chatbot, choice, tts_choice], outputs=[chatbot],api_name="Ask_Retriever")
+#             # retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
+#             #     fn=bot, inputs=[chatbot, choice, tts_choice], outputs=[chatbot], api_name="Ask_Retriever")
+#             retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
+#                     fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot], api_name="Ask_Retriever")
+
+#             #gr.Audio(interactive=False, autoplay=True)]
+
+#             # voice_response_button = gr.Button("Voice Response")
+#             # voice_response_button.click(fn=generate_voice_response, inputs=[chatbot, tts_choice], outputs=[gr.Audio(interactive=False, autoplay=True)],api_name="generate_voice_response")
+
+#             bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot, gr.Audio(interactive=False, autoplay=True)],api_name="generate_voice_response")
+#             # bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot, gr.Audio(interactive=False, autoplay=True)])
+#             bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
+#             chatbot.like(print_like_dislike, None, None)
+#             clear_button = gr.Button("Clear")
+#             clear_button.click(fn=clear_textbox, inputs=None, outputs=chat_input)
+           
+#             audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
+#             audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
+            
+
+#             gr.Markdown("<h1 style='color: red;'>Map</h1>", elem_id="location-markdown")
+#             location_output = gr.HTML()
+#             bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output],api_name="map_finder")
+        
+        
+#         # with gr.Column():
+#         #     weather_output = gr.HTML(value=fetch_local_weather())
+#         #     news_output = gr.HTML(value=fetch_local_news())
+#         #     news_output = gr.HTML(value=fetch_local_events())
+        
+#         with gr.Column():
+#             image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=400, height=400)
+#             image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=400, height=400)
+#             image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=400, height=400)
+
+#             refresh_button = gr.Button("Refresh Images")
+#             refresh_button.click(fn=update_images, inputs=None, outputs=[image_output_1, image_output_2, image_output_3])
+
+# demo.queue()
+# demo.launch(share=True)
+
 with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
     with gr.Row():
         with gr.Column():
@@ -720,22 +777,13 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             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 !!!")
-            chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input],api_name="voice_query")
+            chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input], api_name="voice_query")
             tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta", "Gamma"], value="Alpha")
-            retriver_button = gr.Button("Retriver")
-            # retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(fn=bot, inputs=[chatbot, choice, tts_choice], outputs=[chatbot],api_name="Ask_Retriever")
-            # retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
-            #     fn=bot, inputs=[chatbot, choice, tts_choice], outputs=[chatbot], api_name="Ask_Retriever")
+            retriver_button = gr.Button("Retriever")
             retriver_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
-                    fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot], api_name="Ask_Retriever")
-
-            #gr.Audio(interactive=False, autoplay=True)]
-
-            # voice_response_button = gr.Button("Voice Response")
-            # voice_response_button.click(fn=generate_voice_response, inputs=[chatbot, tts_choice], outputs=[gr.Audio(interactive=False, autoplay=True)],api_name="generate_voice_response")
-
-            bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot, gr.Audio(interactive=False, autoplay=True)],api_name="generate_voice_response")
-            # bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot, gr.Audio(interactive=False, autoplay=True)])
+                fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever")
+            
+            bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="generate_voice_response")
             bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
             chatbot.like(print_like_dislike, None, None)
             clear_button = gr.Button("Clear")
@@ -743,17 +791,10 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
            
             audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
             audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chat_input], api_name="voice_query_to_text")
-            
 
             gr.Markdown("<h1 style='color: red;'>Map</h1>", elem_id="location-markdown")
             location_output = gr.HTML()
-            bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output],api_name="map_finder")
-        
-        
-        # with gr.Column():
-        #     weather_output = gr.HTML(value=fetch_local_weather())
-        #     news_output = gr.HTML(value=fetch_local_news())
-        #     news_output = gr.HTML(value=fetch_local_events())
+            bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output], api_name="map_finder")
         
         with gr.Column():
             image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=400, height=400)
@@ -768,5 +809,3 @@ demo.launch(share=True)
 
 
 
-
-