app.py

import os

# Create the app folder if it doesn't exist
os.makedirs('/content/BCCD-object/app', exist_ok=True)

# Define the Gradio app code
app_code = """
import gradio as gr
from ultralytics import YOLO
from PIL import Image

# Load the trained model
model = YOLO('/content/BCCD-object/model/bccd_yolov8.pt')

# Prediction function
def predict(image):
    results = model(image)
    annotated_image = results[0].plot()  # Draw bounding boxes
    return Image.fromarray(annotated_image)

# Gradio Interface
iface = gr.Interface(
    fn=predict,
    inputs=gr.Image(type="pil"),
    outputs=gr.Image(type="pil"),
    title="BCCD Object Detection",
    description="Upload an image to detect RBC, WBC, and Platelets.",
)

# Launch the app
iface.launch(share=True)
"""

# Save the code to app.py
with open('/content/BCCD-object/app/app.py', 'w') as f:
    f.write(app_code)