Upload 3 files

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from ultralytics import YOLO
+from PIL import Image
+
+# Model load karein (ensure karein best.pt upload ho chuki hai)
+model = YOLO("best.pt")
+
+def predict_image(img):
+    # Model prediction
+    results = model(img)
+    
+    # Annotated image hasil karein (boxes ke saath)
+    # results[0].plot() humein numpy array deta hai jis par boxes bane hote hain
+    res_plotted = results[0].plot()
+    
+    # RGB mein convert karein taake Gradio sahi dikhaye
+    output_img = Image.fromarray(res_plotted[:, :, ::-1]) 
+    
+    return output_img
+
+# Gradio interface setup
+demo = gr.Interface(
+    fn=predict_image,
+    inputs=gr.Image(type="pil"),
+    outputs=gr.Image(type="pil"),
+    title="Face Mask Detection (YOLOv8)",
+    description="Apni photo upload karein. Model 'with_mask', 'without_mask', ya 'incorrect' detect karega."
+)
+
+if __name__ == "__main__":
+    demo.launch()

best.pt

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:09289b1ccee1f7abd8e716976130685ef9ec8f2628a3518e364c0e3646616208
+size 6190122

requirements.txt

@@ -0,0 +1,3 @@
+ultralytics
+gradio
+opencv-python-headless