Update app.py

app.py

@@ -21,7 +21,7 @@ models = {
 def run_inference(model_name, image: Image.Image):
     model = models[model_name]
     results = model.predict(source=np.array(image), imgsz=640, conf=0.25, verbose=False)
-    annotated = results[0].plot()  # Annotated image with boxes and labels
+    annotated = results[0].plot()  # Returns a numpy array (RGB)
     return Image.fromarray(annotated)
 
 demo = gr.Interface(
@@ -30,7 +30,7 @@ demo = gr.Interface(
         gr.Dropdown(choices=list(models.keys()), label="Select YOLO Model"),
         gr.Image(type="pil", label="Upload Image"),
     ],
-    outputs=gr.Image(label="Detected Output"),
+    outputs=gr.Image(type="filepath", label="Detected Output"),  # ✅ required for GitHub integration
     title="MH WEED16 YOLO Inference",
     description="Upload an image to detect weed species using a selected YOLO model.",
 )