Update app.py

app.py

@@ -1,15 +1,14 @@
 import os
 import gradio as gr
-import fitz  # PyMuPDF for PDFs
+import fitz  # PyMuPDF
 import docx
-import request
-HF_TOKEN = os.getenv("HF_TOKEN")
-# Load embedding model (fast & free)
-API_URL = "https://router.huggingface.co/hf-inference/models/sentence-transformers/all-MiniLM-L6-v2/pipeline/sentence-similarity"
-headers = {
-    "Authorization": f"Bearer {os.environ['HF_TOKEN']}",
-}
+import requests
+import numpy as np
 
+HF_MODEL = "sentence-transformers/all-MiniLM-L6-v2"
+HF_API_URL = f"https://api-inference.huggingface.co/models/{HF_MODEL}"
+HF_TOKEN = os.getenv("HF_TOKEN")  # set this secret in your Space
+HEADERS = {"Authorization": f"Bearer {HF_TOKEN}"}
 
 
 # ---- Text extraction ----
@@ -78,3 +77,4 @@ demo = gr.Interface(
 if __name__ == "__main__":
     demo.launch()
 
+