Update app.py

app.py

@@ -1,7 +1,7 @@
-
 import gradio as gr
+from fuzzywuzzy import process  # Use 'from rapidfuzz import process' if using RapidFuzz
 
-# Define a dictionary of 20 dental terminologies and their definitions
+# Define a dictionary of dental terminologies and their definitions
 dental_terms = {
     "cavity": "A cavity is a hole in a tooth caused by decay.",
     "gingivitis": "Gingivitis is the inflammation of the gums, often caused by plaque buildup.",
@@ -26,21 +26,31 @@ dental_terms = {
 }
 
 def chatbot_response(message, history):
-    # Convert the message to lowercase for case-insensitive matching
+    # Debugging: Print inputs and intermediate outputs
+    print(f"User Input: {message}")
+    print(f"Chat History: {history}")
+
+    # Convert the message to lowercase
     message = message.lower()
 
-    # Check for an exact match
+    # Check for exact match
     if message in dental_terms:
-        return dental_terms[message]
-    
-    # Use fuzzy matching for approximate matches
+        response = dental_terms[message]
+        print(f"Exact Match Response: {response}")
+        return response
+
+    # Fuzzy matching for approximate matches
     closest_match, score = process.extractOne(message, dental_terms.keys())
-    if score >= 80:  # Adjust threshold for acceptable matches (80% similarity)
-        return f"Did you mean '{closest_match}'? {dental_terms[closest_match]}"
+    print(f"Closest Match: {closest_match}, Score: {score}")
+
+    if score >= 80:
+        response = f"Did you mean '{closest_match}'? {dental_terms[closest_match]}"
+        print(f"Fuzzy Match Response: {response}")
+        return response
     else:
-        return "I'm sorry, I am just a simple chatbot, and I don't understand that term. Please try another dental term."
+        return "I'm sorry, I don't understand that term. Please try another dental term."
 
-# Set up the Gradio interface
+# Set up Gradio interface
 demo = gr.ChatInterface(
     chatbot_response,
     type="messages",