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app.py

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+import gradio as gr
+from ultralytics import YOLO
+import os
+
+# Download the model from Google Drive if it's not present
+model_path = "best.pt"
+
+# Load the YOLOv8 model
+model = YOLO(model_path)
+
+# Define the object detection function
+def detect_objects(image):
+    results = model(image)
+    return results[0].plot()
+
+# Create a Gradio interface
+app = gr.Interface(fn=detect_objects, inputs="image", outputs="image")
+
+# Launch Gradio app
+app.launch()

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:41af358827b1c4bae6103877a678e0056ab4b2682ef7b012dfcbf269f9c67427
+size 5486483

requirements.txt

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+gradio
+ultralytics
+opencv-python
+torch
+torchvision