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app.py

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+"""Chart Pattern Detection API — YOLOv8 on HuggingFace Spaces"""
+import gradio as gr
+from ultralyticsplus import YOLO
+from PIL import Image
+import json
+
+model = YOLO("foduucom/stockmarket-pattern-detection-yolov8")
+model.overrides["conf"] = 0.25
+model.overrides["iou"] = 0.45
+
+def detect_patterns(image):
+    if image is None:
+        return json.dumps({"patterns": [], "error": "No image"})
+    results = model.predict(image)
+    patterns = []
+    for r in results:
+        boxes = r.boxes
+        for i in range(len(boxes)):
+            box = boxes[i]
+            cls_id = int(box.cls[0])
+            conf = float(box.conf[0])
+            xyxy = box.xyxy[0].tolist()
+            label = r.names[cls_id]
+            patterns.append({
+                "label": label,
+                "confidence": round(conf, 3),
+                "bbox": [round(x, 1) for x in xyxy],
+            })
+    patterns.sort(key=lambda p: p["confidence"], reverse=True)
+    return json.dumps({"patterns": patterns, "count": len(patterns)})
+
+demo = gr.Interface(
+    fn=detect_patterns,
+    inputs=gr.Image(type="pil", label="Chart Image"),
+    outputs=gr.Textbox(label="Detected Patterns (JSON)"),
+    title="Chart Pattern Detection — YOLOv8",
+    description="Detects: Head & Shoulders (Top/Bottom), Double Top/Bottom, Triangles, Trend Lines",
+)
+demo.launch()