Update app.py

app.py

@@ -199,8 +199,9 @@ def predict_and_plot(timeframe, limit, epsilon, n_steps, ma):
     return fig
 
 
-def predict_both_plots(limit, epsilon, n_steps, ma):
+def predict_both_plots(limit, epsilon, ma):
     period = f'{limit}d'
+    n_steos = limit
     btc_data_1d = fetch_yfinance_data('BTC/USDT', period, interval='1d')
     btc_data_4h = fetch_yfinance_data('BTC/USDT', period, interval='4h')
     bch_data_1d = fetch_yfinance_data('BCH/USDT', period, interval='1d')
@@ -220,9 +221,9 @@ def predict_both_plots(limit, epsilon, n_steps, ma):
 with gr.Blocks() as demo:
     with gr.Row():
         with gr.Column(scale=1):
-            limit   = gr.Slider(50,500,step=50,value=100,label='Data Limit (days)')
+            limit   = gr.Slider(50,500,step=50,value=100,label='Number of points')
             epsilon = gr.Slider(0.1,5.0,step=0.1,value=2.0, label='Epsilon')
-            n_steps = gr.Slider(50,500,step=50,value=200,label='N_steps')
+            # n_steps = gr.Slider(50,500,step=50,value=200,label='N_steps')
             ma      = gr.Slider(1,20,step=1,value=5,   label='MA Window')
             run_btn = gr.Button("Run Prediction")