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import gradio as gr
import cv2
import numpy as np
from datetime import datetime, timedelta
from geometry import extract_candle_data, detect_valid_signal
def predict_signal(image):
try:
# Resize for consistency
image = cv2.cvtColor(image, cv2.COLOR_RGB2BGR)
candle_data = extract_candle_data(image)
signal = detect_valid_signal(candle_data)
return signal if signal else "No signal (conditions not met)"
except Exception as e:
return f"Error: {str(e)}"
iface = gr.Interface(
fn=predict_signal,
inputs=gr.Image(type="numpy", label="Upload Chart Screenshot"),
outputs=gr.Textbox(label="Signal Output"),
title="TRANSFINITY FINAL CORE v.ULTIMA",
description="Upload a Quotex OTC chart to get the next 1-minute binary options signal. Timezone: UTC+6"
)
if __name__ == "__main__":
iface.launch()
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