Update app.py

app.py

@@ -137,7 +137,7 @@ def get_health_professionals_and_map(location, query):
     """Search nearby healthcare professionals using Google Maps API."""
     try:
         if not location or not query:
-            return [], "Please provide both location and query.", ""
+            return ["Please provide both location and query."], ""
 
         geo_location = gmaps.geocode(location)
         if geo_location:
@@ -146,19 +146,16 @@ def get_health_professionals_and_map(location, query):
             professionals = []
             map_ = folium.Map(location=(lat, lng), zoom_start=13)
             for place in places_result:
-                professionals.append({
-                    "Name": place['name'],
-                    "Address": place.get('vicinity', 'No address provided'),
-                })
+                professionals.append(f"{place['name']} - {place.get('vicinity', 'No address provided')}")
                 folium.Marker(
                     location=[place["geometry"]["location"]["lat"], place["geometry"]["location"]["lng"]],
                     popup=f"{place['name']}"
                 ).add_to(map_)
-            return professionals, "", map_._repr_html_()
+            return professionals, map_._repr_html_()
 
-        return [], "No professionals found for the given location.", ""
+        return ["No professionals found for the given location."], ""
     except Exception as e:
-        return [], f"An error occurred: {e}", ""
+        return [f"An error occurred: {e}"], ""
 
 # Main Application Logic
 def app_function(user_input, location, query, history):
@@ -166,16 +163,14 @@ def app_function(user_input, location, query, history):
     sentiment_result = analyze_sentiment(user_input)
     emotion_result, cleaned_emotion = detect_emotion(user_input)
     suggestions = generate_suggestions(cleaned_emotion)
-    professionals, error_message, map_html = get_health_professionals_and_map(location, query)
-    if error_message:
-        professionals = [{"Message": error_message}]
+    professionals, map_html = get_health_professionals_and_map(location, query)
     return chatbot_history, sentiment_result, emotion_result, suggestions, professionals, map_html
 
-# CSS Styling (Updated)
+# CSS Styling
 custom_css = """
 body {
     font-family: 'Roboto', sans-serif;
-    background: linear-gradient(135deg, #0f9d58, #34a853);
+    background: linear-gradient(135deg, #0d0d0d, #ff5722);
     color: white;
 }
 
@@ -234,7 +229,7 @@ textarea:hover, input:hover {
 }
 """
 
-# Gradio Application (Updated)
+# Gradio Application
 with gr.Blocks(css=custom_css) as app:
     gr.HTML("<h1>🌟 Well-Being Companion</h1>")
     with gr.Row():
@@ -244,9 +239,12 @@ with gr.Blocks(css=custom_css) as app:
     chatbot = gr.Chatbot(label="Chat History")
     sentiment = gr.Textbox(label="Detected Sentiment")
     emotion = gr.Textbox(label="Detected Emotion")
+    
+    # Adding Suggestions Title with Styled Markdown (Centered and Bold)
     gr.Markdown("Suggestions", elem_id="suggestions-title")
-    suggestions = gr.DataFrame(headers=["Title", "Link"])  # Table for suggestions (two columns)
-    professionals = gr.DataFrame(headers=["Name", "Address"])  # Tabular display for professionals
+    
+    suggestions = gr.DataFrame(headers=["Title", "Link"])  # Table for suggestions
+    professionals = gr.Textbox(label="Nearby Professionals", lines=6)
     map_html = gr.HTML(label="Interactive Map")
     submit = gr.Button(value="Submit", variant="primary")
 
@@ -256,4 +254,4 @@ with gr.Blocks(css=custom_css) as app:
         outputs=[chatbot, sentiment, emotion, suggestions, professionals, map_html],
     )
 
-app.launch()
+app.launch()