Update app.py

app.py

@@ -5,6 +5,7 @@ import fitz  # PyMuPDF for PDF parsing
 import numpy as np
 import faiss
 from sentence_transformers import SentenceTransformer  # Hugging Face transformer
+from io import BytesIO  # To handle file upload correctly
 
 # Initialize the Hugging Face model and Groq API client
 model = SentenceTransformer('all-MiniLM-L6-v2')  # Model for generating embeddings
@@ -13,7 +14,7 @@ client = Groq(api_key="GROQ_API_KEY")
 
 # Function to extract text from a PDF
 def extract_text_from_pdf(file):
-    doc = fitz.open(file)  # Use the file object directly
+    doc = fitz.open(stream=file.read(), filetype="pdf")  # Use the stream and specify file type
     text = ""
     for page in doc:
         text += page.get_text()