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app.py

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+
+import gradio as gr
+from ultralytics import YOLO
+import cv2
+import numpy as np
+
+model = YOLO("foduucom/stockmarket-pattern-detection-yolov8")
+
+def detect_pattern(image):
+    results = model(image)
+    if results and results[0].plot:
+        return cv2.cvtColor(results[0].plot(), cv2.COLOR_RGB2BGR)
+    return image
+
+with gr.Blocks(theme=gr.themes.Base()) as app:
+    gr.Markdown("# Stock Market Pattern Detection (YOLOv8)")
+    with gr.Tabs():
+        with gr.Tab("Upload Image"):
+            image_input = gr.Image(type="numpy")
+            image_output = gr.Image()
+            detect_btn = gr.Button("Detect Pattern")
+            detect_btn.click(fn=detect_pattern, inputs=image_input, outputs=image_output)
+        with gr.Tab("Real-time (Camera)"):
+            webcam_input = gr.Image(source="webcam", streaming=True)
+            webcam_output = gr.Image()
+            webcam_input.change(fn=detect_pattern, inputs=webcam_input, outputs=webcam_output)
+
+app.launch()

requirements.txt

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+
+ultralytics
+opencv-python-headless
+gradio