update shear = true

app.py

@@ -67,12 +67,8 @@ if PROPHET_AVAILABLE and os.path.exists(PROPHET_PATH):
         prophet_model = None
 
 if TENSORFLOW_AVAILABLE and os.path.exists(LSTM_PATH):
-    print("✅ TensorFlow imported successfully")
     try:
-        model = load_model("lstm_model.h5", compile=False)
-        model.save("lstm_savedmodel", save_format="tf")
-        lstm_model = load_model("models/lstm_savedmodel", compile=False)
-        print("✅ LSTM model loaded:", LSTM_PATH)
+        lstm_model = load_model(LSTM_PATH, compile=False)
     except Exception:
         lstm_model = None
 
@@ -336,4 +332,4 @@ with gr.Blocks(title="DataSynthis_ML_JobTask") as demo:
         back_table = gr.Dataframe(headers=["Model", "RMSE", "MAPE"])
         back_btn.click(fn=do_backtest, inputs=[test_days, arima_b, prophet_b, lstm_b], outputs=[back_plot, back_table])
 
-demo.launch()
+demo.launch(share=True)