Update app.py

app.py

@@ -555,71 +555,137 @@ def generate_image(prompt):
     return image
 
 # Hardcoded prompt for image generation
-hardcoded_prompt_1 = "Useing The top events like 'Summer Art Festival'and Date - 06/19/2024 ,Weather-Sunny Bright Day.Create Highly Visually Compelling High Resolution  and High Quality Photographics Advatizement for 'Toyota'"
+# hardcoded_prompt_1 = "Useing The top events like 'Summer Art Festival'and Date - 06/19/2024 ,Weather-Sunny Bright Day.Create Highly Visually Compelling High Resolution  and High Quality Photographics Advatizement for 'Toyota'"
+hardcoded_prompt_1="Create an advertisement for Toyota featuring a summer arts festival in Omaha, Nebraska, with lively festival scenes, colorful decorations, and Toyota cars prominently displayed."
 hardcoded_prompt_2 = "Create a vibrant poster of Nebraska with beautiful weather, featuring picturesque landscapes, clear skies, and the word 'Nebraska' prominently displayed."
 hardcoded_prompt_3 = "Create a high-energy scene of a DJ performing on a large stage with vibrant lights, colorful lasers, a lively dancing crowd, and various electronic equipment in the background."
 
 
 
 
+# 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():
+#             gr.Markdown("<h1>Sponsored</h1>", elem_id="image-markdown")
+#             image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=300, height=300)
+#             image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=300, height=300)
+#             image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=300, height=300)
+
+        
+        
+
+#     def setup_ui():
+#         state = gr.State()
+#         with gr.Row():
+#             with gr.Column():
+#               gr.Markdown("<h1>Select Style</h1>", elem_id="prompt-markdown")
+#               choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational")
+#             with gr.Column():  # Larger scale for the right column
+#                 gr.Markdown("<h1>Ask Radar !!!</h1>", elem_id="query-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])
+#                 bot_msg = chat_msg.then(bot, [chatbot, 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)
+        
+#             with gr.Column():  # Smaller scale for the left column
+#                 gr.Markdown("<h1>Talk to RADAR</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>Map</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 to 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.Row():   
+            
+#             with gr.Column():
+#                 gr.Markdown("<h1>Suggested Events</h1>", elem_id="events-markdown")
+#                 news_output = gr.HTML(value=fetch_local_events())
+                     
+#             with gr.Column():
+#                 news_output = gr.HTML(value=fetch_local_news())
+#     setup_ui()    
+
+# demo.queue()
+# demo.launch(share=True)
+
+
+
+
+
+
+
+
+
+
 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():
+         with gr.Column():
             gr.Markdown("<h1>Sponsored</h1>", elem_id="image-markdown")
             image_output_1 = gr.Image(value=generate_image(hardcoded_prompt_1), width=300, height=300)
             image_output_2 = gr.Image(value=generate_image(hardcoded_prompt_2), width=300, height=300)
             image_output_3 = gr.Image(value=generate_image(hardcoded_prompt_3), width=300, height=300)
 
         
-        
+       
 
-    def setup_ui():
-        state = gr.State()
-        with gr.Row():
-            with gr.Column():
-              gr.Markdown("<h1>Select Style</h1>", elem_id="prompt-markdown")
-              choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational")
-            with gr.Column():  # Larger scale for the right column
-                gr.Markdown("<h1>Ask Radar !!!</h1>", elem_id="query-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])
-                bot_msg = chat_msg.then(bot, [chatbot, 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)
+    state = gr.State()
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("<h1>Select Style</h1>", elem_id="prompt-markdown")
+            choice = gr.Radio(label="Select Style", choices=["Details", "Conversational"], value="Conversational")
         
-            with gr.Column():  # Smaller scale for the left column
-                gr.Markdown("<h1>Talk to RADAR</h1>", elem_id="voice-markdown")
+        with gr.Column():  # Larger scale for the right column
+            gr.Markdown("<h1>Ask Radar !!!</h1>", elem_id="query-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])
+            bot_msg = chat_msg.then(bot, [chatbot, 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)
+    
+        with gr.Column():  # Smaller scale for the left column
+            gr.Markdown("<h1>Talk to RADAR</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")
 
-                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>Map</h1>", elem_id="location-markdown")
+            location_output = gr.HTML()
+            bot_msg.then(show_map_if_details, [chatbot, choice], [location_output, location_output])
 
-        with gr.Row():
-            with gr.Column():
-                gr.Markdown("<h1>Map</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 to 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.Row():   
-            
-            with gr.Column():
-                gr.Markdown("<h1>Suggested Events</h1>", elem_id="events-markdown")
-                news_output = gr.HTML(value=fetch_local_events())
-                     
-            with gr.Column():
-                news_output = gr.HTML(value=fetch_local_news())
-    setup_ui()    
+    with gr.Row():
+        with gr.Column():
+            gr.Markdown("<h1>Suggested Events</h1>", elem_id="events-markdown")
+            news_output = gr.HTML(value=fetch_local_events())
+
+        with gr.Column():
+            news_output = gr.HTML(value=fetch_local_news())
 
 demo.queue()
-demo.launch(share=True)
+demo.launch(share=True)
+
+
+