Update app.py

app.py

@@ -13,26 +13,15 @@ df = df.rename(columns={"Date": "ds", "Price": "y"})
 df.fillna(method='ffill', inplace=True)
 df.dropna(inplace=True)
 
-m = NeuralProphet(
-    n_forecasts=45,
-    n_lags=30,
-    changepoints_range=1.2,
-    num_hidden_layers=6,
-    daily_seasonality=False,
-    weekly_seasonality=True,
-    yearly_seasonality=True,
-    n_changepoints=150,
-    trend_reg_threshold=False,  # Disable trend regularization threshold
-    d_hidden=6,
-    global_normalization=True,
-    seasonality_reg=1,
-    unknown_data_normalization=True,
-    seasonality_mode="multiplicative",
-    drop_missing=True,
-    learning_rate=0.07
+m = NeuralProphet(n_forecasts= 3,
+    n_lags=12, 
+    changepoints_range=5, num_hidden_layers=6, daily_seasonality= False, weekly_seasonality = False, yearly_seasonality = True, ar_reg=True,
+    n_changepoints=150, trend_reg_threshold=True, d_hidden=9, global_normalization=True, global_time_normalization=True, seasonality_reg=1, unknown_data_normalization=True,
+    seasonality_mode="multiplicative", drop_missing=True,
+    learning_rate=0.1
 )
 
-m.fit(df, freq='D')
+m.fit(df, freq='M')
 
 future = m.make_future_dataframe(df, periods=30, n_historic_predictions=True)
 forecast = m.predict(future)
@@ -57,11 +46,11 @@ if __name__ == "__main__":
     dropdown = gr.inputs.Dropdown(["VNIndex"], label="Choose an option", default="VNIndex")
     outputs = [
         gr.outputs.Image(type="filepath", label="Lịch sử VNIndex và dự đoán"),
-        gr.outputs.Image(type="filepath", label="Dự đoán VNIndex cho 45 ngày tới"),
+        gr.outputs.Image(type="filepath", label="Dự đoán VNIndex cho 90 ngày tới"),
         gr.outputs.Textbox(label="Mô tả"),
         gr.outputs.Textbox(label="Disclaimer")
     ]
-    interface = gr.Interface(fn=predict_vn_index, inputs=dropdown, outputs=outputs, title="Dự báo VN Index 45 ngày tới")
+    interface = gr.Interface(fn=predict_vn_index, inputs=dropdown, outputs=outputs, title="Dự báo VN Index 90 ngày tới")
     interface.launch()