Upload folder using huggingface_hub

app.py

@@ -75,6 +75,9 @@ if st.button("Predict"):
     # Send the input data to the Flask API for prediction
     response = requests.post("https://anithajk-SuperKartDecesionMakingModelBackend.hf.space/v1/productsale", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
     if response.status_code == 200:
+        print(f"result {response.json()}")
+        data = response.json()
+        print(data.keys())
         prediction = response.json()['Predicted Revenue (in dollars)']
         st.success(f"Predicted Revenue (in dollars): {prediction}")
     else: