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backend/app.py

@@ -15,3 +15,7 @@ def predict():
     df = pd.DataFrame([data])
     prediction = model.predict(df)
     return jsonify({"prediction": prediction.tolist()})
+
+# Run the Flask application in debug mode if this script is executed directly
+if __name__ == '__main__':
+    app.run(debug=True)

frontend/Frontend_app.py

@@ -20,5 +20,8 @@ if st.button("Predict"):
         "sale_volume_lag_3": lag3,
         "sale_volume_lag_6": lag6
     }
-    res = requests.post("http://172.28.0.12:7860/predict", json=payload)
-    st.success(f"Prediction: {res.json()['prediction']}")
+    res = requests.post("https://sudhirpgcmma02/Hy_prediction.hf.space/predict", json=payload)
+    if res.status_code == 200:
+      st.success(f"Prediction: {res.json()['prediction']}")
+    else:
+        st.error("Error making prediction.")