Update app.py

app.py

@@ -325,66 +325,47 @@ def prepare_meeting(json_input):
 ### Gradio Demo ###
 with gr.Blocks() as demo:
     gr.Markdown("## Curify: Unified AI Tools for Productivity")
-    
-    with gr.Tab("Curify Digest"):
-        with gr.Row():
-            # Column 1: Webpage rendering
-            with gr.Column():
-                gr.Markdown("## Render Webpage")
-                url_input = gr.Textbox(label="Enter URL")
-                # Shared Button: Fetch content, show webpage, and summary/perspectives
-                fetch_btn = gr.Button("Fetch and Process Webpage")
-                text_output = gr.Textbox(label="Webpage Content", lines=7)
-            # Column 2: Summary and Perspectives
-            with gr.Column():
-                gr.Markdown("## Summary & Perspectives")
-                summary_output = gr.Textbox(label="Summary", lines=5)
-                perspectives_output = gr.Textbox(label="Perspectives", lines=5)
-
-            # Column 3: Chatbot
-            with gr.Column():
-                gr.Markdown("## Interactive Chatbot")
-                chatbot_history_gr = gr.Chatbot(label="Chat History")
-                user_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
-                chatbot_btn = gr.Button("Send")
-                reflection_btn = gr.Button("Generate reflection")
-                reflection_output = gr.Textbox(label="Reflections", lines=5)
-
-            fetch_btn.click(
-                process_webpage, 
-                inputs=url_input, 
-                outputs=[text_output, summary_output, perspectives_output],
-                ) 
-        
-            chatbot_btn.click(
-                chat_with_ai, 
-                inputs=[chatbot_history_gr, user_input, text_output], 
-                outputs=chatbot_history_gr,
-                )
-
-            reflection_btn.click(
-                generate_reflection, 
-                inputs=chatbot_history_gr, 
-                outputs=reflection_output,
-                )
-
-
-    with gr.Tab("Curify Ideas"):
-        text_input = gr.Textbox(label="Enter text or ideas")
-        extracted_ideas = gr.Textbox(label="Extracted Ideas", interactive=False)
-        extract_button = gr.Button("Extract Ideas")
 
-        def process_ideas(text):
-            return ", ".join(extract_ideas_from_text(text))
-
-        extract_button.click(process_ideas, inputs=[text_input], outputs=[extracted_ideas])
-
-    with gr.Tab("Curify Projects"):
-        json_input = gr.Textbox(label="Enter meeting data (JSON format)")
-        prepared_meetings = gr.Textbox(label="Meeting Preparations", interactive=False)
-        prepare_button = gr.Button("Prepare Meetings")
-
-        prepare_button.click(prepare_meeting, inputs=[json_input], outputs=[prepared_meetings])
+    with gr.Row():
+        # Column 1: Webpage rendering
+        with gr.Column():
+            gr.Markdown("## Render Webpage")
+            url_input = gr.Textbox(label="Enter URL")
+            # Shared Button: Fetch content, show webpage, and summary/perspectives
+            fetch_btn = gr.Button("Fetch and Process Webpage")
+            text_output = gr.Textbox(label="Webpage Content", lines=7)
+        # Column 2: Summary and Perspectives
+        with gr.Column():
+            gr.Markdown("## Summary & Perspectives")
+            summary_output = gr.Textbox(label="Summary", lines=5)
+            perspectives_output = gr.Textbox(label="Perspectives", lines=5)
+
+        # Column 3: Chatbot
+        with gr.Column():
+            gr.Markdown("## Interactive Chatbot")
+            chatbot_history_gr = gr.Chatbot(label="Chat History")
+            user_input = gr.Textbox(label="Ask a Question", placeholder="Type your question here...")
+            chatbot_btn = gr.Button("Send")
+            reflection_btn = gr.Button("Generate reflection")
+            reflection_output = gr.Textbox(label="Reflections", lines=5)
+
+        fetch_btn.click(
+            process_webpage, 
+            inputs=url_input, 
+            outputs=[text_output, summary_output, perspectives_output],
+            ) 
+    
+        chatbot_btn.click(
+            chat_with_ai, 
+            inputs=[chatbot_history_gr, user_input, text_output], 
+            outputs=chatbot_history_gr,
+            )
+
+        reflection_btn.click(
+            generate_reflection, 
+            inputs=chatbot_history_gr, 
+            outputs=reflection_output,
+            )
 
 demo.launch(share=True)