Delete gradio_app.py

gradio_app.py

@@ -1,99 +0,0 @@
-import gradio as gr
-from indicators import SMC
-from utils import smc_plot_backtest, smc_ema_plot_backtest, smc_structure_plot_backtest, fetch
-import pandas as pd
-
-symbols = pd.read_csv('data/Ticker_List_NSE_India.csv')
-limits = pd.read_csv('data/yahoo_limits.csv')
-
-def run(stock, interval, period, strategy, swing_hl, ema1=9, ema2=21, cross_close=False):
-    # Downloading ticker data.
-    ticker =  symbols[symbols['NAME OF COMPANY'] == stock]['YahooEquiv'].values[0]
-    data = fetch(ticker, period, interval)
-
-    # Plotting signal plot based on strategy.
-    if strategy == "Order Block" or strategy == "Order Block with EMA":
-        signal_plot = (SMC(data=data, swing_hl_window_sz=swing_hl).
-                       plot(order_blocks=True, swing_hl=True, show=False).
-                       update_layout(title=dict(text=ticker)))
-    else:
-        signal_plot = (SMC(data=data, swing_hl_window_sz=swing_hl).
-                       plot(swing_hl_v2=True, structure=True, show=False).
-                       update_layout(title=dict(text=ticker)))
-
-    backtest_plot = gr.Plot()
-
-    # Plotting backtest plot based on strategy.
-    if strategy == "Order Block":
-        backtest_plot = smc_plot_backtest(data, 'test.html', swing_hl)
-    if strategy == "Order Block with EMA":
-        backtest_plot = smc_ema_plot_backtest(data, 'test.html', ema1, ema2, cross_close)
-    if strategy == "Structure trading":
-        backtest_plot = smc_structure_plot_backtest(data, 'test.html', swing_hl)
-
-    return signal_plot, backtest_plot
-
-
-with gr.Blocks(fill_width=True) as app:
-    gr.Markdown(
-        '# Algorithmic Trading Dashboard'
-    )
-    stock = gr.Dropdown(symbols['NAME OF COMPANY'].unique().tolist(), label='Select Company', value=None)
-
-    with gr.Row():
-        interval = gr.Dropdown(limits['interval'].tolist(), label='Select Interval', value=None)
-
-        period_list = ['1d', '5d', '1mo', '3mo', '6mo', '1y', '2y', '5y', '10y', 'ytd', 'max']
-        period = gr.Dropdown(label = 'Select Period', choices=["max"], value="max")
-
-        # Updating period based on interval
-        def update_period(interval):
-            limit = limits[limits['interval'] == interval]['limit'].values[0]
-            idx = period_list.index(limit)
-            return gr.Dropdown(period_list[:idx+1]+['max'], interactive=True, label='Select Period')
-
-        interval.change(update_period, [interval], [period])
-
-    with gr.Row():
-        strategy = gr.Dropdown(['Order Block', 'Order Block with EMA', 'Structure trading'], label='Strategy', value=None)
-        swing_hl = gr.Number(label="Swing High/Low Window Size", value=10, interactive=True)
-
-    @gr.render(inputs=[strategy])
-    def show_extra(strat):
-        if strat == "Order Block with EMA":
-            with gr.Row():
-                ema1 = gr.Number(label='Fast EMA length', value=9)
-                ema2 = gr.Number(label='Slow EMA length', value=21)
-                cross_close = gr.Checkbox(label='Close trade on EMA crossover')
-            input = [stock, interval, period, strategy, swing_hl, ema1, ema2, cross_close]
-
-        elif strat == "Order Block" or strat == "Structure trading":
-            input = [stock, interval, period, strategy, swing_hl]
-        else:
-            input = []
-
-        btn.click(
-            run,
-            inputs=input,
-            outputs=[signal_plot, backtest_plot]
-        )
-
-        examples = gr.Examples(
-            examples=[
-                ["Reliance Industries Limited", "15m", "max", "Order Block", 10],
-                ["Reliance Industries Limited", "15m", "max", "Order Block with EMA", 10],
-                ["Reliance Industries Limited", "15m", "max", "Structure trading", 20],
-            ],
-            example_labels=['Order Block', 'Order Block with EMA', 'Structure trading'],
-            inputs=[stock, interval, period, strategy, swing_hl]
-        )
-
-    btn = gr.Button("Run")
-
-    with gr.Row():
-        signal_plot = gr.Plot(label='Signal plot')
-
-    with gr.Row():
-        backtest_plot = gr.Plot(label='Backtesting plot')
-
-app.launch(debug=True)