Update app.py

app.py

@@ -1,21 +1,21 @@
 import gradio as gr
-from model2 import ChatbotModel
+from chatbot_model import ChatbotModel  # Assuming your model code is saved as chatbot_model.py
 
-# Load the model
-#model = torch.load("model.pt")  # Adjust as needed
+# Load the chatbot model (replace "model.pt" with your actual saved model path if needed)
+chatbot = ChatbotModel.load("model.pt")
 
-# Define the chatbot function
-def chatbot(input_text):
-    # Use your model inference function here
-    response = ChatbotModel.get_response(input_text)  # Call to your response function
-    return response
+def generate_response(user_input):
+    return chatbot.get_response(user_input)
 
 # Define the Gradio interface
 iface = gr.Interface(
-    fn=chatbot,  # The function that will be called
-    inputs="text",  # User will input text
-    outputs="text"  # Model will output text
+    fn=generate_response,
+    inputs="text",
+    outputs="text",
+    title="ACPC Counseling Chatbot",
+    description="Chatbot assistant for queries related to ACPC counseling, MYSY scholarships, and admissions."
 )
 
-# Launch the app
-iface.launch()
+if __name__ == "__main__":
+    # Launch the Gradio interface
+    iface.launch()