Update app.py

app.py

@@ -231,9 +231,7 @@ def app_function_chatbot(user_input, location, query, history):
 # Disease Prediction Logic
 def predict_disease(symptoms):
     """Predict disease based on input symptoms."""
-    # Filter out None values
-    valid_symptoms = [s for s in symptoms if s is not None]
-    # Ensure at least 3 symptoms are selected
+    valid_symptoms = [s for s in symptoms if s is not None]  # Filter out None values
     if len(valid_symptoms) < 3:
         return "Please select at least 3 symptoms for a better prediction."
 
@@ -268,14 +266,13 @@ with gr.Blocks(theme='shivi/calm_seafoam') as app:  # Apply the specified theme
             query = gr.Textbox(label="Search Health Professionals Nearby", placeholder="E.g., Health Professionals", max_lines=1)
 
         with gr.Row():  # Align Submit and Clear buttons side by side
-            submit_chatbot = gr.Button(value="Submit Your Message", variant="primary")
+            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)
         emotion = gr.Textbox(label="Detected Emotion", show_label=True)
 
-        # Keep the DataFrame styling uniform
         suggestions_markdown = gr.Markdown(label="Suggestions")
         professionals = gr.DataFrame(label="Nearby Health Professionals", headers=["Name", "Address"])
         map_html = gr.HTML(label="Interactive Map")
@@ -303,7 +300,7 @@ with gr.Blocks(theme='shivi/calm_seafoam') as app:  # Apply the specified theme
         symptom4 = gr.Dropdown(choices=[None] + list(X_train.columns), label="Select Symptom 4", value=None)
         symptom5 = gr.Dropdown(choices=[None] + list(X_train.columns), label="Select Symptom 5", value=None)
 
-        submit_disease = gr.Button(value="Predict Disease", variant="primary")
+        submit_disease = gr.Button(value="Predict Disease", variant="primary", icon="fa-stethoscope")
 
         disease_prediction_result = gr.Markdown(label="Predicted Diseases")