Upload 3 files

app.py

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+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)

bccd_yolov8.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:fede7491faec35274bc71ef2540c828548a6dbbf4e4c04f7958db9da29b56eaa
+size 6232035