Upload folder using huggingface_hub

app.py

@@ -39,7 +39,7 @@ input_data = pd.DataFrame({
 
 # Make prediction when the "Predict" button is clicked
 if st.button("Predict"):
-    response = requests.post("https://mbg0903-mbgspace.hf.space/v1/predict", json=input_data.to_dict(orient="records")[0])
+    response = requests.post("https://MBG0903-SuperKartSalesPredictionBackend.hf.space/v1/predict", json=input_data.to_dict(orient="records")[0])
     if response.status_code == 200:
         prediction = response.json()['Predicted Sales (in dollars)']
         st.success(f"Predicted Sales (in dollars): {prediction}")
@@ -55,7 +55,7 @@ uploaded_file = st.file_uploader("Upload CSV file for batch prediction", type=["
 # Make batch prediction when the "Predict Batch" button is clicked
 if uploaded_file is not None:
     if st.button("Predict Batch"):
-        response = requests.post("https://mbg0903-mbgspace.hf.space/v1/predict/batch", files={"file": uploaded_file})
+        response = requests.post("https://MBG0903-SuperKartSalesPredictionBackend.hf.space/v1/predict/batch", files={"file": uploaded_file})
         if response.status_code == 200:
             predictions = response.json()
             st.success("Batch predictions completed!")