Update app.py

app.py

@@ -11,7 +11,6 @@ from nltk.stem.lancaster import LancasterStemmer
 from transformers import AutoTokenizer, AutoModelForSequenceClassification, pipeline
 import requests
 import pandas as pd
-import tempfile
 
 # Ensure necessary NLTK resources are downloaded
 nltk.download('punkt')
@@ -213,7 +212,7 @@ def gradio_interface(message, location, state):
     # Stage 4: Search for Wellness Professionals
     wellness_results = search_wellness_professionals(location)
     
-    # Return the 6 values required by Gradio
+    # Return the results in a tabular form within the Gradio interface
     return history, sentiment, emotion, suggestions, wellness_results, history  # Last 'history' is for state
 
 # Gradio interface setup
@@ -229,7 +228,7 @@ iface = gr.Interface(
         gr.Textbox(label="Sentiment Analysis"),
         gr.Textbox(label="Detected Emotion"),
         gr.Dataframe(label="Suggestions & Resources"),
-        gr.File(label="Download Wellness Professionals CSV"),
+        gr.Dataframe(label="Nearby Wellness Professionals"),  # Display results as a table
         gr.State()  # One state output
     ],
     allow_flagging="never",