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app.py

@@ -44,10 +44,10 @@ input_data = pd.DataFrame([{
 if st.button("Predict"):
     response = requests.post("https://cheeka84-SalesPredictionBackend.hf.space/v1/sales", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
     if response.status_code == 200:
-        prediction = response.json()['Predicted Price (in dollars)']
-        st.success(f"Predicted Rental Price (in dollars): {prediction}")
+        prediction = response.json()['Predicted Sales (in dollars)']
+        st.success(f"Predicted Sales (in dollars): {prediction}")
     else:
-        st.error("Error making prediction.")
+        st.error(response.status_code)
 
 # Section for batch prediction
 st.subheader("Batch Prediction")