Update app.py

app.py

@@ -20,6 +20,9 @@ import tensorflow as tf
 # Ensure necessary NLTK resources are downloaded
 nltk.download('punkt')
 
+# Import LancasterStemmer from nltk.stem
+from nltk.stem import LancasterStemmer
+
 # Initialize the stemmer
 stemmer = LancasterStemmer()
 
@@ -308,7 +311,7 @@ with gr.Blocks() as demo:
             return str(e)
 
     nearby_health_professionals_table = gr.Dataframe(headers=["Name", "Address", "Phone", "Rating", "Business Status", "User Reviews Total", "Website", "Types", "Latitude", "Longitude", "Opening Hours", "Reviews", "Email"])
-    submit_location.click(fetch_navby_health_professionals, inputs=location_input, outputs=nearby_health_professionals_table)
+    submit_location.click(fetch_nearby_health_professionals, inputs=location_input, outputs=nearby_health_professionals_table)
 
     # User input for text (sentiment analysis)
     user_input_sentiment = gr.Textbox(lines=1, label="Enter text to analyze sentiment:")