Update app.py

app.py

@@ -1208,125 +1208,47 @@ def fetch_google_flights(departure_id="JFK", arrival_id="BHM", outbound_date=cur
     return flight_info
 
 
+examples = [
+    [
+        "What are the concerts in Birmingham?",
+    ],
+    [
+        "what are some of the upcoming matches of crimson tide?",
+    ],
+    [
+        "where from i will get a Hamburger?",
+    ],
+    [
+        "What are some of the hotels at birmingham?",
+    ],
+    [
+        "how can i connect the alexa to the radio?"
+    ],
+    [
+      "What are some of the good clubs at birmingham?"  
+    ],
+    [
+      "How do I call the radio station?",
+    ],
+    [
+        "What’s the spread?"
+    ],
+    [
+        "What time is Crimson Tide Rewind?"
+    ],
+    [
+        "What time is Alabama kick-off?"
+    ],
+    [
+        "who are some of the popular players of crimson tide?"
+    ]
+]
 
+def insert_prompt(prompt):
+    return prompt[0]
 
-# 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")
-#             retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB", "KGF"], value="VDB")
-#             model_choice = gr.Dropdown(label="Choose Model", choices=["LM-1", "LM-2"], value="LM-1")
-
-#             # 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")
-
-#             chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="ASK Radar !!!", placeholder="Hey 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])
-
-#             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
-
-
-#             # 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")
-#             #     .then(fn=bot, inputs=[chatbot, choice, tts_choice, retrieval_mode, model_choice], outputs=[chatbot, audio_output], api_name="api_askchatbot_then_generateaudio")
-#             #     .then(fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details")
-#             #     .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=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details")
-#                 .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")
-#             # chat_input.submit(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory").then(
-#             #     fn=bot, inputs=[chatbot, choice, tts_choice, retrieval_mode, model_choice], outputs=[chatbot, audio_output], api_name="api_askchatbot_then_generateaudio"
-#             # ).then(
-#             #     fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details"
-#             # ).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=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details"
-#             ).then(
-#                 fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox"
-#             )
-
-
-
-
-
-
-
-#             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")
-
-#         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())
-
-# demo.queue()
-# demo.launch(show_error=True)
-
-
-import gradio as gr
-
-# List of example prompts
-example_prompts = [
-    "What are the best restaurants in Birmingham?",
-    "Tell me about the weather in Birmingham today.",
-    "What events are happening in Birmingham this weekend?",
-    "Can you recommend a hotel in Birmingham?",
-    "What flights are available from JFK to Birmingham?",
-    "Give me a list of the top attractions in Birmingham.",
-    "What's the best time to visit Birmingham?",
-    "Tell me about the history of Birmingham, Alabama.",
-    "What are some outdoor activities in Birmingham?",
-    "Can you suggest a good coffee shop in Birmingham?"
-]
 
-# Function to insert the selected prompt into the input textbox
-def insert_prompt(selected_prompt):
-    return gr.Textbox.update(value=selected_prompt)
 
-# Gradio interface
 with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
     with gr.Row():
         with gr.Column():
@@ -1337,6 +1259,7 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             retrieval_mode = gr.Radio(label="Retrieval Mode", choices=["VDB", "KGF"], value="VDB")
             model_choice = gr.Dropdown(label="Choose Model", choices=["LM-1", "LM-2"], value="LM-1")
 
+            # 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")
@@ -1345,11 +1268,6 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
             tts_choice = gr.Radio(label="Select TTS System", choices=["Alpha", "Beta"], value="Alpha")
             retriever_button = gr.Button("Retriever")
 
-            # Example Prompts Table
-            gr.Markdown("<h2 style='color: blue;'>Helpful Prompts</h2>")
-            for prompt in example_prompts:
-                gr.Button(prompt).click(fn=insert_prompt, inputs=prompt, outputs=chat_input)
-
             clear_button = gr.Button("Clear")
             clear_button.click(lambda: [None, None], outputs=[chat_input, state])
 
@@ -1361,20 +1279,47 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
                 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")
+            #     .then(fn=bot, inputs=[chatbot, choice, tts_choice, retrieval_mode, model_choice], outputs=[chatbot, audio_output], api_name="api_askchatbot_then_generateaudio")
+            #     .then(fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details")
+            #     .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=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details")
                 .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")
+            # chat_input.submit(fn=add_message, inputs=[chatbot, chat_input], outputs=[chatbot, chat_input], api_name="api_addprompt_chathistory").then(
+            #     fn=bot, inputs=[chatbot, choice, tts_choice, retrieval_mode, model_choice], outputs=[chatbot, audio_output], api_name="api_askchatbot_then_generateaudio"
+            # ).then(
+            #     fn=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details"
+            # ).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=show_map_if_details, inputs=[chatbot, choice], outputs=[location_output, location_output], api_name="api_show_map_details"
@@ -1382,9 +1327,17 @@ with gr.Blocks(theme='Pijush2023/scikit-learn-pijush') as demo:
                 fn=clear_textbox, inputs=[], outputs=[chat_input], api_name="api_clear_textbox"
             )
 
+
+
+
+
+
+
             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.Examples(examples=example_prompts, fn=insert_prompt, inputs=[], outputs=chat_input)
+
         with gr.Column():
             weather_output = gr.HTML(value=fetch_local_weather())
             news_output = gr.HTML(value=fetch_local_news())
@@ -1396,3 +1349,6 @@ demo.launch(show_error=True)
 
 
 
+
+
+