Update app.py

app.py

@@ -1345,6 +1345,76 @@ def transcribe_function_whisper(audio):
 
 
 
+# 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 !!!", placeholder="After Prompt, click Retriever Only")
+#             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")
+#             retriever_button = gr.Button("Retriever")
+
+           
+            
+#             gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
+#             location_output = gr.HTML()
+#             retriever_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
+#                 fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever").then(
+#                 fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="map_finder").then(
+#                 fn=clear_state_and_textbox, inputs=[], outputs=[chat_input])
+            
+#             bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot], 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")
+#             clear_button.click(fn=clear_textbox, inputs=None, outputs=chat_input)
+            
+#             # Recorder section
+            
+#             gr.Markdown("<h2>Hey Radar</h2>")
+#             audio_input = gr.Audio(sources=["microphone"], type='numpy')
+#             transcribe_button = gr.Button("Transcribe")
+#             transcribe_button.click(fn=transcribe_and_update_textbox, inputs=[audio_input], outputs=[chat_input],api_name="voice_to_text")
+
+            
+
+#             # Streaming ASR component
+#             gr.Markdown("<h2>Hey Radar ASR</h2>")
+#             stream_audio_input = gr.Audio(sources=["microphone"], type='numpy', streaming=True)
+#             stream_transcription = gr.State(None)  # Initialize stream state
+#             stream_audio_input.change(transcribe_function, inputs=[stream_transcription, stream_audio_input], outputs=[stream_transcription, chat_input])
+
+            
+
+            
+
+#         # 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])
+#             # location_output = gr.HTML()
+#             bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output], api_name="map_finder")
+    
+# demo.queue()
+# demo.launch(share=True)
+
+def clear_stream_transcription():
+    return None, ""
+
 with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
     with gr.Row():
         with gr.Column():
@@ -1359,15 +1429,14 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             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")
             retriever_button = gr.Button("Retriever")
-
-           
             
             gr.Markdown("<h1 style='color: red;'>Radar Map</h1>", elem_id="Map-Radar")
             location_output = gr.HTML()
             retriever_button.click(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input]).then(
                 fn=bot, inputs=[chatbot, choice, tts_choice, state], outputs=[chatbot, gr.Audio(interactive=False, autoplay=True)], api_name="Ask_Retriever").then(
                 fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="map_finder").then(
-                fn=clear_state_and_textbox, inputs=[], outputs=[chat_input])
+                fn=clear_state_and_textbox, inputs=[], outputs=[chat_input]
+                )
             
             bot_msg = chat_msg.then(bot, [chatbot, choice, tts_choice], [chatbot], api_name="generate_voice_response")
             bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Ask Radar!!!...", show_label=False), None, [chat_input])
@@ -1380,19 +1449,23 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             gr.Markdown("<h2>Hey Radar</h2>")
             audio_input = gr.Audio(sources=["microphone"], type='numpy')
             transcribe_button = gr.Button("Transcribe")
-            transcribe_button.click(fn=transcribe_and_update_textbox, inputs=[audio_input], outputs=[chat_input],api_name="voice_to_text")
+            transcribe_button.click(fn=transcribe_and_update_textbox, inputs=[audio_input], outputs=[chat_input], api_name="voice_to_text")
 
-            
+            # New ASR Component with Whisper
+            gr.Markdown("<h2>Whisper ASR</h2>")
+            audio_input_whisper = gr.Audio(sources=["microphone"], type='numpy')
+            transcribe_button_whisper = gr.Button("Transcribe with Whisper")
+            transcribe_button_whisper.click(fn=transcribe_function_whisper, inputs=[audio_input_whisper], outputs=[chat_input], api_name="whisper_asr")
 
             # Streaming ASR component
-            gr.Markdown("<h2>Hey Radar ASR</h2>")
+            gr.Markdown("<h2>Streaming ASR</h2>")
             stream_audio_input = gr.Audio(sources=["microphone"], type='numpy', streaming=True)
             stream_transcription = gr.State(None)  # Initialize stream state
             stream_audio_input.change(transcribe_function, inputs=[stream_transcription, stream_audio_input], outputs=[stream_transcription, chat_input])
 
-            clear_btn.click(lambda: [None, 0], outputs=[None, 0])
-
-            
+            # Add the clear button for ASR history
+            clear_btn = gr.Button("Clear ASR History")
+            clear_btn.click(lambda: [None, ""], outputs=[stream_transcription, chat_input])
 
         # with gr.Column():
         #      weather_output = gr.HTML(value=fetch_local_weather())
@@ -1413,5 +1486,3 @@ demo.queue()
 demo.launch(share=True)
 
 
-
-