Upload folder using huggingface_hub

app.py

@@ -14,7 +14,7 @@ superkart_api = Flask("superkart_predictor")
 try:
     preprocessor_path = os.path.join(APP_DIR, "preprocessor.joblib")
     model_path = os.path.join(APP_DIR, "model.joblib")
-    
+
     preprocessor = joblib.load(preprocessor_path)
     model = joblib.load(model_path)
     print("✅ Preprocessor and model loaded successfully.")
@@ -31,7 +31,7 @@ def home():
 # Define an endpoint to predict sales
 @superkart_api.post('/v1/predict')
 def predict_sales():
-    
+
     if preprocessor is None or model is None:
         return jsonify({"error": "Model or preprocessor not loaded"}), 500
 
@@ -55,7 +55,7 @@ def predict_sales():
             'Store_Type': data['Store_Type'],
             'Store_Age': data['Store_Age']
         }
-        
+
         # Check if any mapping failed (resulted in None)
         if any(v is None for v in [sample['Product_Sugar_Content'], sample['Store_Size'], sample['Store_Location_City_Type']]):
             return jsonify({"error": "Invalid value for ordinal feature (e.g., 'Store_Size', 'Product_Sugar_Content')"}), 400
@@ -72,12 +72,12 @@ def predict_sales():
     try:
         # 1. Transform the now-mapped input data
         processed_data = preprocessor.transform(input_data)
-        
+
         # 2. Make a prediction
         prediction = model.predict(processed_data).tolist()[0]
 
         return jsonify({'predicted_sales': round(prediction, 2)})
-    
+
     except Exception as e:
         return jsonify({"error": f"Error during prediction: {str(e)}"}), 500
 

model.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:54aeda2ba7d11b49c070bf6e15f0a4dfdd1c4dace2a4a1a1c6805edab5a2bcf4
-size 472809
+oid sha256:382f42f8024c4bc00bf800c5237fc8dfb4137d05a97d58d16af23bbf6727a32a
+size 635913

preprocessor.joblib

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:6cc6ae7565037569fd6c94e73a4f64b865e0a29d078fb06f17603aed40112b2d
-size 3583
+oid sha256:4a9c086d1e65f02274bf06abdf71d30e6635a57cb3e85451841878278861eda5
+size 3969