Update app.py

app.py

@@ -258,26 +258,9 @@ def predict_disease(symptoms):
     return "\n".join(markdown_output)
 
 # Gradio Application Interface
-with gr.Blocks(theme='shivi/calm_seafoam') as app:  # Set theme here
+with gr.Blocks(theme='shivi/calm_seafoam') as app:  # Directly set theme here
     gr.HTML("<h1>🌟 Well-Being Companion</h1>")
     
-    # Theme Dropdown
-    themes = [
-        "calm_seafoam",
-        "Ranko_test"
-    ]
-    
-    theme_dropdown = gr.Dropdown(choices=themes, label="Select Theme")
-    
-    # Button to toggle dark mode
-    toggle_dark = gr.Button(value="Toggle Dark", scale=1)  
-
-    # Function to switch to dark mode
-    def toggle_dark_mode(dark_mode):
-        return "dark" if dark_mode == "light" else "light"
-
-    toggle_dark.click(toggle_dark_mode, inputs=None, outputs=None)  # Update this as you wish
-
     with gr.Tab("Well-Being Chatbot"):
         with gr.Row():
             user_input = gr.Textbox(label="Please Enter Your Message Here", placeholder="Type your message here...", max_lines=3)
@@ -285,6 +268,7 @@ with gr.Blocks(theme='shivi/calm_seafoam') as app:  # Set theme here
             query = gr.Textbox(label="Search Health Professionals Nearby", placeholder="E.g., Health Professionals", max_lines=1)
 
         submit_chatbot = gr.Button(value="Submit Your Message", variant="primary", icon="fa-paper-plane")
+        clear_chatbot = gr.Button(value="Clear", variant="secondary")  # Clear button
 
         chatbot = gr.Chatbot(label="Chat History", show_label=True)
         sentiment = gr.Textbox(label="Detected Sentiment", show_label=True)
@@ -294,12 +278,22 @@ with gr.Blocks(theme='shivi/calm_seafoam') as app:  # Set theme here
         professionals = gr.DataFrame(label="Nearby Health Professionals", headers=["Name", "Address"])
         map_html = gr.HTML(label="Interactive Map")
 
+        # Functionality to clear the chat input
+        def clear_input():
+            return "", []  # Clear both the user input and chat history
+
         submit_chatbot.click(
             app_function_chatbot,
             inputs=[user_input, location, query, chatbot],
             outputs=[chatbot, sentiment, emotion, suggestions_markdown, professionals, map_html],
         )
 
+        clear_chatbot.click(
+            clear_input,
+            inputs=None,
+            outputs=[user_input, chatbot]  # Reset user input and chat history
+        )
+
     with gr.Tab("Disease Prediction"):
         symptom1 = gr.Dropdown(choices=[None] + list(X_train.columns), label="Select Symptom 1", value=None)
         symptom2 = gr.Dropdown(choices=[None] + list(X_train.columns), label="Select Symptom 2", value=None)