Create app.py

app.py

@@ -0,0 +1,32 @@
+"""
+Run a rest API exposing the yolov5s object detection model
+"""
+import argparse
+import io
+import torch
+from flask import Flask, request
+from PIL import Image
+
+app = Flask(__name__)
+
+DETECTION_URL = "/v1/detect"
+
+
+@app.route(DETECTION_URL, methods=["POST"])
+def predict():
+    if not request.method == "POST":
+        return
+
+    if request.files.get("image"):
+        image_file = request.files["image"]
+        image_bytes = image_file.read()
+
+        img = Image.open(io.BytesIO(image_bytes))
+
+        results = model(img, size=640)  # reduce size=320 for faster inference
+        return results.pandas().xyxy[0].to_json(orient="records")
+
+
+if __name__ == "__main__":
+    model = torch.hub.load('ultralytics/yolov5', 'custom', path='best.pt', force_reload=True)  # force_reload to recache
+    app.run(host="0.0.0.0", port=7860,debug =True)  # debug=True causes Restarting with stat