Create app.py

app.py

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+import cv2
+import numpy as np
+import gradio as gr
+
+from ultralytics import YOLO
+
+from pickle import TRUE
+def predict(path:str):
+  model = YOLO('yolov8s.yaml')
+#aquí se pone el nombre del documento  
+  model = YOLO('best.pt')
+  imagen = cv2.imread(path)
+  results = model.predict(source=path)
+  for r in results:
+    return r.plot()
+
+gr.Interface(fn=predict,
+             inputs=gr.components.Image(type='filepath', label = 'Input'),
+             outputs=gr.components.Image(type='numpy', label='Output')).launch(debug=False)