Update app.py

app.py

@@ -17,7 +17,6 @@ from transformers import AutoProcessor
 from reportlab.pdfgen import canvas
 from reportlab.lib.pagesizes import letter
 from io import BytesIO
-from pymongo import MongoClient
 
 sys.path.append(os.path.abspath(os.path.join(os.path.dirname(__file__), './colpali-main')))
 
@@ -167,39 +166,5 @@ async def recommendation(file: UploadFile = File(...), k: int = 10):
 
     return response
 
-def get_database():
- 
-   # Provide the mongodb atlas url to connect python to mongodb using pymongo
-   # CONNECTION_STRING = "mongodb://localhost:27017"
- 
-   # Create a connection using MongoClient. You can import MongoClient or use pymongo.MongoClient
-   client = MongoClient('localhost', 27017)
-
- 
-   # Create the database for our example (we will use the same database throughout the tutorial
-   return client['cvquest-colpali']
-
-dbname = get_database()
-collection_name = dbname["files"]
-
-item_1 = {
-  "_id" : "U1IT00001",
-  "item_name" : "Blender",
-  "max_discount" : "10%",
-  "batch_number" : "RR450020FRG",
-  "price" : 340,
-  "category" : "kitchen appliance"
-}
-
-item_2 = {
-  "_id" : "U1IT00002",
-  "item_name" : "Egg",
-  "category" : "food",
-  "quantity" : 12,
-  "price" : 36,
-  "item_description" : "brown country eggs"
-}
-collection_name.insert_many([item_1,item_2])
-
 if __name__ == "__main__":
     uvicorn.run(app, host="0.0.0.0", port=7860)