Update app.py

app.py

@@ -11,46 +11,36 @@ def chatbot_response(query):
     
     client = Together(api_key=api_key)
     
+    # Define the system role prompt to guide the chatbot's behavior
+    system_message = {
+        "role": "system",
+        "content": ("You are a knowledgeable assistant providing accurate and concise information related to "
+                    "technical fields, mentorship, alumni events, career guidance, academic support, placement "
+                    "assistance, and other areas of interest to students. Focus on providing relevant information "
+                    "for students and avoid unrelated topics. If something falls outside your area of expertise, "
+                    "politely mention that it is not within your scope.")
+    }
+    
     # Chat request to Hugging Face model
     response = client.chat.completions.create(
         model="NousResearch/Hermes-3-Llama-3.1-405B-Turbo",
-        messages=[{"role": "user", "content": query}],
+        messages=[system_message, {"role": "user", "content": query}],
     )
     
     # Extract and return the response
     return response.choices[0].message.content
 
-# Navigation and feature-specific responses
-def website_navigation(query):
-    lower_query = query.lower()
-
-    if "mentorship" in lower_query:
-        return "You can explore our mentorship programs here: [Mentorship Program](#)"
-    elif "alumni events" in lower_query or "meetups" in lower_query:
-        return "Check out upcoming alumni events: [Alumni Events](#)"
-    elif "career guidance" in lower_query:
-        return "For career guidance sessions, visit: [Career Guidance](#)"
-    elif "academic support" in lower_query:
-        return "Need academic support? Find resources here: [Academic Support](#)"
-    elif "placement assistance" in lower_query:
-        return "Our placement assistance services are available here: [Placement Assistance](#)"
-    elif "forums" in lower_query or "discussions" in lower_query:
-        return "Join discussions on our forum: [Discussion Forums](#)"
-    else:
-        # Fallback to AI-generated responses
-        return chatbot_response(query)
-
 # Gradio Interface
 with gr.Blocks() as demo:
     gr.Markdown("<h1>Alumni-Student Interaction Platform Assistant</h1>")
-    gr.Markdown("Ask me about mentorship, alumni events, career guidance, academic support, placement assistance, or anything related to our platform.")
+    gr.Markdown("Ask me if you need any information or help.I am there to solve your queries!")
     
     chatbot = gr.Chatbot()
     query_input = gr.Textbox(placeholder="Type your question here (e.g., 'How can I find career guidance?')")
     
     def respond(query, chat_history):
-        # Get response from website navigation or AI
-        response = website_navigation(query)
+        # Get response from the chatbot
+        response = chatbot_response(query)
         chat_history.append((query, response))
         return chat_history, chat_history