Update app.py

app.py

@@ -100,6 +100,7 @@ def detect_emotion(user_input):
     result = pipe(user_input)
     emotion = result[0]['label']
     return f"Emotion Detected: {emotion}"
+
 # Initialize Google Maps API client securely
 gmaps = googlemaps.Client(key=os.getenv('GOOGLE_API_KEY'))
 
@@ -164,6 +165,7 @@ def generate_suggestions(emotion):
     
     emotion_suggestions = suggestions.get(emotion, [])
     return pd.DataFrame(emotion_suggestions)
+
 # Custom CSS styling for Gradio interface
 css = """
     body {
@@ -216,17 +218,17 @@ def gradio_app(message, current_location, health_professional_query, history):
 iface = gr.Interface(
     fn=gradio_app,
     inputs=[
-        gr.inputs.Textbox(lines=2, placeholder="Enter your message..."),
-        gr.inputs.Textbox(lines=2, placeholder="Enter your current location..."),
-        gr.inputs.Textbox(lines=2, placeholder="Enter health professional query..."),
+        gr.Textbox(lines=2, placeholder="Enter your message..."),
+        gr.Textbox(lines=2, placeholder="Enter your current location..."),
+        gr.Textbox(lines=2, placeholder="Enter health professional query..."),
         gr.State(value=[])
     ],
     outputs=[
-        gr.outputs.Textbox(label="Sentiment Analysis"),
-        gr.outputs.Textbox(label="Detected Emotion"),
-        gr.outputs.Dataframe(label="Suggestions"),
-        gr.outputs.Textbox(label="Nearby Health Professionals"),
-        gr.outputs.HTML(label="Map of Health Professionals"),
+        gr.Textbox(label="Sentiment Analysis"),
+        gr.Textbox(label="Detected Emotion"),
+        gr.Dataframe(label="Suggestions"),
+        gr.Textbox(label="Nearby Health Professionals"),
+        gr.HTML(label="Map of Health Professionals"),
         gr.State(value=[])
     ],
     live=True,
@@ -236,4 +238,4 @@ iface = gr.Interface(
 )
 
 # Launch Gradio interface
-iface.launch(share=True)
+iface.launch(share=True)