Update app.py

app.py

@@ -10,10 +10,10 @@ import statsmodels.api as sm
 fitted_model = joblib.load('modelling_all123.sav')
 
 # Streamlit App
-st.title("Time Series Prediction Dashboard")
+st.title("Aplikasi Prediksi Harga Bawang")
 
 # Date Range Input
-start_date = st.date_input("Select Start Date", pd.to_datetime('2024-01-01'))
+start_date = st.date_input("Pilih Tanggal Mulai", pd.to_datetime('2024-01-01'))
 #end_date = st.date_input("Select End Date", pd.to_datetime('2024-01-30'))
 
 # Make predictions based on user input
@@ -27,7 +27,7 @@ predictions.columns = ['Prediction Harga Bawang',
 predictions = predictions.abs()
 predictions = predictions.set_index(pd.date_range(start=start_date, periods=len(predictions)))
 # Display Predictions Table
-st.subheader("Predictions for the Selected Time Period")
+st.subheader("Hasil Prediksi")
 st.write(predictions)
 
 # Plotting Predictions
@@ -36,9 +36,9 @@ fig, ax = plt.subplots(figsize=(10, 6))
 for column in predictions.columns:
     ax.plot(predictions.index, predictions[column], label=column)
 
-ax.set_xlabel("Time Period")
-ax.set_ylabel("Predicted Values")
-ax.set_title("Time Series Predictions")
+ax.set_xlabel("Tanggal")
+ax.set_ylabel("Hasil Prediksi")
+ax.set_title("Prediksi")
 
 # Show plot in Streamlit
 st.pyplot(fig)