Update app.py

app.py

@@ -166,36 +166,35 @@ def get_animal_data(animal_type, count):
 
     return area_size, feed_type, feed_quantity, cost_in_inr, water_supply, hygiene_tips, seasonal_tips
 
-@app.route("/ai-chatbot")
-def ai_chatbot():
-    return render_template("s2.html")
-
 @app.route("/chat", methods=["POST"])
 def chat():
     data = request.json
-    user_message = data.get("message")   # Get user's message
-    target_language = data.get("language", "en")   # Get target language (default: English)
+    user_message = data.get("message")
+    target_language = data.get("language", "en")
 
     try:
-        # Translate user input to English before sending it to the chatbot
+        # Translate user input to English
         user_message_en = translate_text(user_message, "en")
 
-        # Use Groq API to get a response from the chatbot
+        # Call Groq API
         response = client.chat.completions.create(
             messages=[{"role": "user", "content": user_message_en}],
-            model="llama-3.3-70b-versatile"   # Replace with the correct Groq model
+            model="llama-3.3-70b-versatile"
         )
 
-        bot_response_en = response.choices[0].message.content   # Extract chatbot's response
+        bot_response_en = response.choices[0].message.content
 
-        # Translate bot response back to the selected language
+        # Translate back
         bot_response_translated = translate_text(bot_response_en, target_language)
 
         return jsonify({"response": bot_response_translated})
 
     except Exception as e:
-        print(f"Chatbot error: {e}") # Added for debugging
-        return jsonify({"response": "Sorry, there was an error. Try again later!"})
+        import traceback
+        print("Chatbot error:", e)
+        traceback.print_exc()
+        return jsonify({"response": f"Error: {str(e)}"}), 500
+
 
 @app.route("/disease-detection", methods=["GET", "POST"])
 def disease_detection():