Upload folder using huggingface_hub

app.py

@@ -37,6 +37,18 @@ input_data = pd.DataFrame({
     "Product_Type": Product_Type
 }, index=[0])
 
+def predict_sales(input_data):
+    backend_url = "https://MBG0903-SuperKartSalesPredictionBackend.hf.space/v1/predict"  # THIS LINE IS CRUCIAL
+    headers = {'Content-Type': 'application/json'}
+    try:
+        response = requests.post(backend_url, json=input_data, headers=headers)
+        response.raise_for_status()  # Raise an exception for bad status codes
+        prediction = response.json()['Predicted sales']
+        return prediction
+    except requests.exceptions.RequestException as e:
+        st.error(f"Error communicating with backend: {e}")
+        return None
+
 # Make prediction when the "Predict" button is clicked
 if st.button("Predict"):
     response = requests.post("https://MBG0903-SuperKartSalesPredictionBackend.hf.space/v1/predict", json=input_data.to_dict(orient="records")[0])