added access_token

app.py

@@ -2,7 +2,9 @@ from fastapi import FastAPI, UploadFile, File
 from transformers import pipeline
 from fastai.vision.all import *
 from PIL import Image
+import os
 
+access_token = os.getenv("access_token")
 # NOTE - we configure docs_url to serve the interactive Docs at the root path
 # of the app. This way, we can use the docs as a landing page for the app on Spaces.
 app = FastAPI(docs_url="/")
@@ -58,10 +60,10 @@ llama_pipeline = pipeline(
     model=llama_model_id,
     model_kwargs={"torch_dtype": torch.bfloat16},
     device_map="auto",
+    auth_token=access_token
 )
 
 
-"""
 @app.post("/frame-details")
 def frame_details(text: str):
     
@@ -99,8 +101,3 @@ def frame_details(text: str):
 
     return extracted_info
 
-if __name__ == "__main__":
-    import uvicorn
-    uvicorn.run(app, host="0.0.0.0", port=8000)
-
-"""