Update app.py

app.py

@@ -1,30 +1,6 @@
-import gradio as gr
-from transformers import pipeline
-import PyPDF2
-
-# Load the model
-chatbot = pipeline("text-generation", model="facebook/blenderbot-400M-distill")
-
-# 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!")
-
-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()
+try:
+    syllabus_text = read_pdf("syllabus.pdf")
+    print("Syllabus Loaded Successfully!")
+except Exception as e:
+    syllabus_text = "Syllabus could not be loaded."
+    print(f"Error: {e}")