app.py

from ultralytics import YOLO
import gradio as gr
import numpy as np
from PIL import Image

# -------------------------
# Load ONLY your trained model
# -------------------------
model = YOLO("mules_vs_whitetails.pt")

# -------------------------
# Inference function
# -------------------------
def predict(image):
    # Ensure RGB numpy array
    if isinstance(image, Image.Image):
        image = np.array(image.convert("RGB"))

    # Run inference
    results = model.predict(
        source=image,
        conf=0.25,
        device="cpu",   # change to "cuda" if GPU is available
        verbose=False
    )

    # Take first result
    r = results[0]

    # Draw detections (BGR → RGB)
    im_bgr = r.plot()
    im_rgb = im_bgr[:, :, ::-1]

    return im_rgb


# -------------------------
# Gradio UI
# -------------------------
app = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="numpy", label="Upload Image"),
    outputs=gr.Image(type="numpy", label="Detection Result"),
    title="Deer Detection AI – Mule Deer vs Whitetail",
    description="Custom YOLO model: mules_vs_whitetails.pt"
)

# -------------------------
# Launch
# -------------------------
if __name__ == "__main__":
    app.launch()