Create app.py

app.py

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+import gradio as gr
+import yfinance as yf
+import plotly.graph_objects as go
+from datetime import datetime, timedelta
+from statsmodels.tsa.arima.model import ARIMA
+import pandas as pd
+
+def fetch_eth_price(period):
+    eth = yf.Ticker("ETH-USD")
+    if period == '1d':
+        data = eth.history(period="1d", interval="1m")
+        predict_steps = 60  # Next 60 minutes
+    elif period == '5d':
+        data = eth.history(period="5d", interval="15m")
+        predict_steps = 96  # Next 24 hours
+    elif period == '1wk':
+        data = eth.history(period="1wk", interval="30m")
+        predict_steps = 336  # Next 7 days
+    elif period == '1mo':
+        data = eth.history(period="1mo", interval="1h")
+        predict_steps = 720  # Next 30 days
+    else:
+        return None, None
+    
+    return data, predict_steps
+
+def make_predictions(data, predict_steps):
+    model = ARIMA(data['Close'], order=(5, 1, 0))
+    model_fit = model.fit()
+    forecast = model_fit.forecast(steps=predict_steps)
+    
+    future_dates = pd.date_range(start=data.index[-1], periods=predict_steps+1, closed='right')
+    forecast_df = pd.DataFrame(forecast, index=future_dates, columns=['Prediction'])
+    
+    return forecast_df
+
+def plot_eth(period):
+    data, predict_steps = fetch_eth_price(period)
+    forecast_df = make_predictions(data, predict_steps)
+    
+    fig = go.Figure()
+    fig.add_trace(go.Scatter(x=data.index, y=data['Close'], mode='lines', name='ETH Price'))
+    fig.add_trace(go.Scatter(x=forecast_df.index, y=forecast_df['Prediction'], mode='lines', name='Prediction', line=dict(dash='dash')))
+    fig.update_layout(title=f"ETH Price and Predictions ({period})", xaxis_title="Date", yaxis_title="Price (USD)")
+    
+    return fig
+
+def refresh_predictions(period):
+    return plot_eth(period)
+
+with gr.Blocks() as iface:
+    period = gr.Radio(["1d", "5d", "1wk", "1mo"], label="Select Period")
+    plot = gr.Plot()
+    refresh_button = gr.Button("Refresh Predictions and Prices")
+    
+    period.change(fn=plot_eth, inputs=period, outputs=plot)
+    refresh_button.click(fn=refresh_predictions, inputs=period, outputs=plot)
+    
+iface.launch()