Update app.py

app.py

@@ -1,12 +1,26 @@
+# Force install FIRST before any other imports
+import subprocess
+import sys
+
+print("Installing correct transformers version...")
+subprocess.run([
+    sys.executable, "-m", "pip", "install",
+    "--upgrade", "--force-reinstall",
+    "--no-deps",
+    "transformers==4.52.4"
+], check=True)
+print("Done installing transformers")
+
+# Now safe to import
 import torch
 import gradio as gr
 from transformers import AutoProcessor, AutoModelForVision2Seq
 from PIL import Image
 import os
 
-os.environ["HF_HUB_ENABLE_HF_TRANSFER"] = "1"
+print(f"Transformers version: {__import__('transformers').__version__}")
 
-model_id = "HuggingFaceTB/SmolVLM-256M-Instruct"  # smallest possible - 256M params
+model_id = "HuggingFaceTB/SmolVLM-256M-Instruct"
 
 print("Loading processor...")
 processor = AutoProcessor.from_pretrained(model_id)
@@ -67,7 +81,7 @@ demo = gr.Interface(
     inputs=gr.Image(type="pil", label="Upload NEET Question Image"),
     outputs=gr.Textbox(label="Extracted Text", lines=20),
     title="NEET Question Extractor",
-    description="Upload a scanned NEET question paper image to extract text"
+    description="Upload scanned NEET question paper image to extract text"
 )
 
 demo.launch()