Update app.py

app.py

@@ -3,25 +3,25 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load conversational pipeline
-generator = pipeline("conversational", model="microsoft/DialoGPT-medium")
+# Use a text-generation model instead of conversational for simplicity
+generator = pipeline("text-generation", model="gpt2")
 
-# Define chatbot function
+# Chatbot function
 def chat_with_bot(user_input):
-    response = generator(user_input)
+    response = generator(user_input, max_length=100, num_return_sequences=1)
     return response[0]['generated_text']
 
 # Gradio interface
 iface = gr.Interface(
     fn=chat_with_bot,
-    inputs=gr.Textbox(lines=2, placeholder="Ask me anything about study tips, university selection, scholarships, or motivation!"),
+    inputs=gr.Textbox(lines=2, placeholder="Ask about study tips, scholarships, university selection, motivation!"),
     outputs="text",
     title="🎓 Student Advisor Chatbot",
-    description="Get study advice, routine tips, university guidance, and motivational support.",
+    description="Get helpful study advice, routines, university guidance, and motivation!",
     theme="compact"
 )
 
-# Run the app
 if __name__ == "__main__":
     iface.launch()
 
+