Update app.py

app.py

@@ -12,6 +12,7 @@ from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipe
 import googlemaps
 import folium
 import os
+import torch  # Add this for sentiment analysis
 
 # Ensure necessary NLTK resources are downloaded
 nltk.download('punkt')
@@ -142,7 +143,7 @@ def get_health_professionals_and_map(current_location, health_professional_query
     return route_info, m._repr_html_()
 
 # Gradio interface
-def gradio_app(message, location, health_query, history):
+def gradio_app(message, location, health_query, history, state):
     # Chatbot interaction
     history, _ = chatbot(message, history)
     
@@ -173,11 +174,11 @@ map_output = gr.HTML(label="Map with Health Professionals")
 # Create Gradio interface
 iface = gr.Interface(
     fn=gradio_app, 
-    inputs=[message_input, location_input, health_query_input, "state"], 
+    inputs=[message_input, location_input, health_query_input, gr.State()],  # Updated state input
     outputs=[chat_history, sentiment_output, emotion_output, route_info_output, map_output],
     allow_flagging="never",
     live=True,
     title="Wellbeing App: Mental Health, Sentiment, Emotion Detection & Health Professional Search"
 )
 
-iface.launch()
+iface.launch()