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app.py

@@ -45,8 +45,8 @@ input_data = pd.DataFrame([{
 if st.button("Predict"):
     response = requests.post("https://kapilmika-SupreKartPredictionBackend.hf.space/v1/revenue", json=input_data.to_dict(orient='records')[0])  # Send data to Flask API
     if response.status_code == 200:
-        prediction = response.json()['Predicted Revenue (in dollars)']
-        st.success(f"Predicted Rental Price (in dollars): {prediction}")
+        prediction = response.json()['Predicted Product Sales Revenue Price (in dollars)']
+        st.success(f"Predicted Product Sales Revenue Price (in dollars): {prediction}")
     else:
         st.error("Error making prediction.")