Upload folder using huggingface_hub

app.py

@@ -34,7 +34,7 @@ input_data = pd.DataFrame([{
 
 # Make prediction when the "Predict" button is clicked
 if st.button("Predict"):
-    response = requests.post("https://RedRooster99-projectfrontend.hf.space/v1/rental", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
+    response = requests.post("https://RedRooster99-projectfrontend.hf.space/v1/superkart", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
     if response.status_code == 200:
         prediction = response.json()['Predicted Price']
         st.success(f"Superkart Price: {prediction}")