Upload folder using huggingface_hub

app.py

@@ -48,8 +48,8 @@ input_data.drop("Store_Establishment_Year", axis=1, inplace=True)
 # Make prediction when the "Predict" button is clicked
 if st.button("Forecast"):
     try:
-        response = requests.post("https://UncloudMe-SK_Sales_Backend.hf.space/v1/salespredict",
-            json=input_data.to_dict(orient='records')[0]
+        response = requests.post("https://UncloudMe-SK_Sales_Backend.hf.space/salespredict",
+            json=input_data.to_dict(orient='records')[0],
             timeout=30  # add timeout for safety
         )
 
@@ -84,7 +84,7 @@ 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://UncloudMe-SK_Sales_Backend.hf.space/v1/salespredictbatch", files={"file": uploaded_file})  # Send file to Flask API
+        response = requests.post("https://UncloudMe-SK_Sales_Backend.hf.space/salespredictbatch", files={"file": uploaded_file})  # Send file to Flask API
         if response.status_code == 200:
             predictions = response.json()
             st.success("Batch predictions completed!")