Update app.py

app.py

@@ -518,123 +518,60 @@ def generate_image(prompt):
     return image
 
 # Hardcoded prompt for image generation
-hardcoded_prompt = "A cat holding a sign that says hello world"
+hardcoded_prompt = "Useing The top 10 events and current time - 4:07 PM ,Date - 06/17/2024 ,Weather-Sunny Bright Day.Create Highly Visually Compelling High Resolution  and High Quality Photographics Advatizement for 'Toyota'"
 
-# # Gradio Blocks interface
-# with gr.Blocks(theme='rawrsor1/Everforest') as demo:
-#     with gr.Row():
-#         chatbot = gr.Chatbot([], elem_id="chatbot", bubble_full_width=False)
-        
-#         with gr.Column(scale=5):
-#                 gr.Markdown("<h1>Generated Image</h1>", elem_id="image-markdown")
-#                 image_output = gr.Image(value=generate_image(hardcoded_prompt))
-        
-#         with gr.Column(scale=8):
-#             weather_output = gr.HTML(value=fetch_local_weather())
+with gr.Blocks(theme='rawrsor1/Everforest') as demo:
+    with gr.Row():
+        chatbot = gr.Chatbot([], elem_id="chatbot", bubble_full_width=False)
+        with gr.Column():
+            weather_output = gr.HTML(value=fetch_local_weather())
         
-#         with gr.Column(scale=5):
-#             news_output = gr.HTML(value=fetch_local_news())
+        with gr.Column():
+            news_output = gr.HTML(value=fetch_local_news())
+
+    def setup_ui():
+        state = gr.State()
+        with gr.Row():
+            with gr.Column():
+              gr.Markdown("<h1>Choose the prompt</h1>", elem_id="prompt-markdown")
+              choice = gr.Radio(label="Choose a prompt", choices=["Details", "Conversational"], value="Details")
+            with gr.Column():  # Larger scale for the right column
+                gr.Markdown("<h1>Enter the query / Voice Output</h1>", elem_id="query-markdown")
+
+                chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="Transcription")
+                chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
+                bot_msg = chat_msg.then(bot, [chatbot, choice], chatbot, api_name="bot_response")
+                bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Enter message or upload file...", 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)
         
-#         with gr.Column():
-#                 gr.Markdown("<h1>Local Events</h1>", elem_id="events-markdown")
-
-#                 news_output = gr.HTML(value=fetch_local_events())
-
-#     def setup_ui():
-#         state = gr.State()
-#         with gr.Row():
-#             with gr.Column():
-#                 chatbot = gr.Chatbot([], elem_id="chatbot", bubble_full_width=False)
-
+            with gr.Column():  # Smaller scale for the left column
+                gr.Markdown("<h1>Stream your Voice</h1>", elem_id="voice-markdown")
+
+                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="SAMLOne_real_time")
+
+        with gr.Row():
+            with gr.Column():
+                gr.Markdown("<h1>Locate the Events</h1>", elem_id="location-markdown")
+                location_output = gr.HTML()
+                bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output])
+            with gr.Column():
+                gr.Markdown("<h1>Listen the audio</h1>", elem_id="audio-markdown")
+                audio_output = gr.Audio()
+                #bot_msg.then(generate_audio_elevenlabs, chatbot, audio_output)
+                bot_msg_audio = bot_msg.then(lambda history: generate_audio_elevenlabs(history[-1][1]), chatbot, audio_output)
             
-#             with gr.Column():
-#                 gr.Markdown("<h1>Choose the prompt</h1>", elem_id="prompt-markdown")
-
-#                 choice = gr.Radio(label="Choose a prompt", choices=["Details", "Conversational"], value="Details")
-
-#             with gr.Column():  # Larger scale for the right column
-#                 gr.Markdown("<h1>Enter the query / Voice Output</h1>", elem_id="query-markdown")
-
-#                 chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="Transcription")
-#                 chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
-#                 bot_msg = chat_msg.then(bot, [chatbot, choice], chatbot, api_name="bot_response")
-#                 bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Enter message or upload file...", 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)
-        
-#             with gr.Column():  # Smaller scale for the left column
-#                 gr.Markdown("<h1>Stream your Voice</h1>", elem_id="voice-markdown")
-
-#                 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="SAMLOne_real_time")
-
-#         with gr.Row():
-#             with gr.Column():
-#                 gr.Markdown("<h1>Locate the Events</h1>", elem_id="location-markdown")
-
-#                 location_output = gr.HTML()
-#                 bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output])
-#             with gr.Column():
-#                 gr.Markdown("<h1>Listen the audio</h1>", elem_id="audio-markdown")
-
-#                 audio_output = gr.Audio()
-#                 bot_msg_audio = bot_msg.then(lambda history: generate_audio_elevenlabs(history[-1][1]), chatbot, audio_output)
-#             with gr.Column():
-#                 gr.Markdown("<h1>Local Events</h1>", elem_id="events-markdown")
-
-#                 news_output = gr.HTML(value=fetch_local_events())
-
-#             with gr.Column():
-#                 gr.Markdown("<h1>Generated Image</h1>", elem_id="image-markdown")
-                
-#                 image_output = gr.Image(value=generate_image(hardcoded_prompt))
-
-#     setup_ui()    
-
-# demo.queue()
-# demo.launch(share=True)
-import gradio as gr
-
-with gr.Blocks(theme='rawrsor1/Everforest') as demo:
-    with gr.Row():
-        with gr.Column(scale=2):
-            chatbot = gr.Chatbot([], elem_id="chatbot", bubble_full_width=False)
-            gr.Markdown("<h1>Voice Chat</h1>", elem_id="voice-markdown")
-            audio_input = gr.Audio(sources=["microphone"], streaming=True, type='numpy')
-            state = gr.State()
-            audio_input.stream(transcribe_function, inputs=[state, audio_input], outputs=[state, chatbot], api_name="SAMLOne_real_time")
-            chat_input = gr.Textbox(show_copy_button=True, interactive=True, show_label=False, label="Transcription")
-            chat_msg = chat_input.submit(add_message, [chatbot, chat_input], [chatbot, chat_input])
-            bot_msg = chat_msg.then(bot, [chatbot, choice], chatbot, api_name="bot_response")
-            bot_msg.then(lambda: gr.Textbox(value="", interactive=True, placeholder="Enter message or upload file...", 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)
-
-        with gr.Column(scale=1):
-            gr.Markdown("<h1>Choose the prompt</h1>", elem_id="prompt-markdown")
-            choice = gr.Radio(label="Choose a prompt", choices=["Details", "Conversational"], value="Details")
-
-    with gr.Row():
-        with gr.Column(scale=2):
-            gr.Markdown("<h1>Locate the Events</h1>", elem_id="location-markdown")
-            location_output = gr.HTML()
-            bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output])
-
-        with gr.Column(scale=1):
-            gr.Markdown("<h1>Generated Audio</h1>", elem_id="audio-markdown")
-            audio_output = gr.Audio()
-            bot_msg_audio = bot_msg.then(lambda history: generate_audio_elevenlabs(history[-1][1]), chatbot, audio_output)
-
-    with gr.Row():
-        with gr.Column(scale=1):
-            gr.Markdown("<h1>Generated Image</h1>", elem_id="image-markdown")
-            image_output = gr.Image(value=generate_image(hardcoded_prompt))
+            with gr.Column():
+                gr.Markdown("<h1>Local Events</h1>", elem_id="events-markdown")
+                news_output = gr.HTML(value=fetch_local_events())
+                     
+            with gr.Column():
+                gr.Markdown("<h1>Generated Image</h1>", elem_id="image-markdown")
+                image_output = gr.Image(value=generate_image(hardcoded_prompt))
 
-        with gr.Column(scale=2):
-            gr.Markdown("<h1>Local Events</h1>", elem_id="events-markdown")
-            news_output = gr.HTML(value=fetch_local_events())
+    setup_ui()    
 
 demo.queue()
-demo.launch(share=True)
+demo.launch(share=True)