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from dotenv import load_dotenv
load_dotenv('.env')
import gradio as gr
from utils import *
import os
days_to_plot = 40
data = get_data().iloc[-500:]
data_to_plot = data.iloc[-days_to_plot:][["Close"]]
data_to_plot['date'] = data_to_plot.index.strftime('%Y-%m-%d')
with gr.Blocks() as demo:
gr.Markdown("# Apple Stock Predictor")
predict_button = gr.Button("Predict")
with gr.Row() as row0:
with gr.Column() as col0:
gr.Markdown("## Last candle info")
last_open = gr.Textbox(get_last_candle_value(data, 'Open') ,label="Last Open")
last_max = gr.Textbox( get_last_candle_value(data, 'High') ,label="Last Max")
last_min = gr.Textbox( get_last_candle_value(data, 'Low') ,label="Last Min")
last_close = gr.Textbox( get_last_candle_value(data, 'Close') ,label="Last Close")
with gr.Column() as col1:
gr.Markdown("## Next Candle Prediction")
jump_text = gr.Textbox(label="Jump")
open_text = gr.Textbox(label="Open")
max_text = gr.Textbox(label="Max")
min_text = gr.Textbox(label="Min")
next_close_text = gr.Textbox(label="Close")
with gr.Row() as row1:
value_plot = gr.LinePlot(data_to_plot,
x="date",
y="Close",
title=f'Closes in last {days_to_plot} days',
y_lim=[float(data_to_plot['Close'].min())-5, float(data_to_plot['Close'].max())+5])
outputs = [jump_text,
open_text,
max_text,
min_text,
next_close_text
]
predict_button.click(lambda: predict(data), outputs=outputs)
# predict_button.click(lambda: predict_mock(data), outputs=outputs)
demo.launch(debug=True)
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