Upload model

app.py

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+def predict_label(img_path	):
+
+    results = model(img_path)
+    return map[results[0].probs.data.argmax().item()]
+
+
+import gradio as gr
+import cv2
+import requests
+import os
+
+from ultralytics import YOLO
+
+file_urls = [
+    'https://www.dropbox.com/s/b5g97xo901zb3ds/pothole_example.jpg?dl=1',
+    'https://www.dropbox.com/s/86uxlxxlm1iaexa/pothole_screenshot.png?dl=1',
+    'https://www.dropbox.com/s/7sjfwncffg8xej2/video_7.mp4?dl=1'
+]
+
+
+def download_file(url, save_name):
+    url = url
+    if not os.path.exists(save_name):
+        file = requests.get(url)
+        open(save_name, 'wb').write(file.content)
+
+
+for i, url in enumerate(file_urls):
+    if 'mp4' in file_urls[i]:
+        download_file(
+            file_urls[i],
+            f"video.mp4"
+        )
+    else:
+        download_file(
+            file_urls[i],
+            f"image_{i}.jpg"
+        )
+        model = YOLO('best.pt')
+        path = [['image_0.jpg'], ['image_1.jpg']]
+        video_path = [['video.mp4']]
+
+
+        def show_preds_image(image_path):
+            image = cv2.imread(image_path)
+            outputs = model.predict(source=image_path)
+            results = outputs[0].cpu().numpy()
+            for i, det in enumerate(results.boxes.xyxy):
+                cv2.rectangle(
+                    image,
+                    (int(det[0]), int(det[1])),
+                    (int(det[2]), int(det[3])),
+                    color=(0, 0, 255),
+                    thickness=2,
+                    lineType=cv2.LINE_AA
+                )
+            return cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
+
+
+        inputs_image = [
+            gr.components.Image(type="filepath", label="Input Image"),
+        ]
+        outputs_image = [
+            gr.components.Image(type="numpy", label="Output Image"),
+        ]
+        interface_image = gr.Interface(
+            fn=show_preds_image,
+            inputs=inputs_image,
+            outputs=outputs_image,
+            title="Pothole detector",
+            examples=path,
+            cache_examples=False,

best.pt

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+version https://git-lfs.github.com/spec/v1
+oid sha256:d8cdb33cf67cc48d1cdeb5aa80a8d2bc58f85b02609ec9b13cbd4491f4fa133b
+size 3056513