Update app.py

app.py

@@ -1,26 +1,30 @@
 import gradio as gr
 from transformers import pipeline
+import PyPDF2
 
 # Load the model
 chatbot = pipeline("text-generation", model="facebook/blenderbot-400M-distill")
 
-def chat_response(message):
-    response = chatbot(message, max_length=100, do_sample=True)
-    return response[0]['generated_text']
-
-# Create Gradio interface
-iface = gr.Interface(fn=chat_response, inputs="text", outputs="text", title="Bit GPT 0.2.8")
-
-# Launch app
-iface.launch()
-
-import PyPDF2
-
+# Function to read PDF
 def read_pdf(file_path):
     with open(file_path, "rb") as file:
         reader = PyPDF2.PdfReader(file)
         text = "\n".join([page.extract_text() for page in reader.pages if page.extract_text()])
     return text
 
+# Load syllabus
 syllabus_text = read_pdf("syllabus.pdf")
-print("Syllabus Loaded Successfully!")
+print("Syllabus Loaded Successfully!")
+
+def chat_response(message):
+    if "syllabus" in message.lower():  # Check if user asks about syllabus
+        return syllabus_text[:1000] + "...\n\n(Syllabus trimmed, ask for specific topics.)"
+    else:
+        response = chatbot(message, max_length=100, do_sample=True)
+        return response[0]['generated_text']
+
+# Create Gradio interface
+iface = gr.Interface(fn=chat_response, inputs="text", outputs="text", title="Bit GPT 0.2.8")
+
+# Launch app
+iface.launch()