don't need

Dockerfile

@@ -1,30 +1,15 @@
-FROM python:3.9
+import json
+import requests
 
-RUN useradd -m -u 1000 aim_user
+# Run inference on an image
+url = "https://predict.ultralytics.com"
+headers = {"x-api-key": "2f5030f67d8682095078407a9380643a5ddd89d13c"}
+data = {"model": "https://hub.ultralytics.com/models/5NOJhLhigIjjuOABqyUQ", "imgsz": 640, "conf": 0.25, "iou": 0.45}
+with open("path/to/image.jpg", "rb") as f:
+	response = requests.post(url, headers=headers, data=data, files={"file": f})
 
-# Switch to the "aim_user" user
-USER aim_user
-
-# Set home to the user's home directory
-ENV HOME=/home/aim_user \
-	PATH=/home/aim_user/.local/bin:$PATH
-
-# Set the working directory to the user's home directory
-WORKDIR $HOME
-
-# install the `aim` package on the latest version
-RUN pip install aim
-
-RUN aim telemetry off
-
-ENTRYPOINT ["/bin/sh", "-c"]
-
-COPY aim_repo.tar.gz .
-RUN tar xvzf aim_repo.tar.gz
-# have to run `aim init` in the directory that stores aim data for
-# otherwise `aim up` will prompt for confirmation to create the directory itself.
-# We run aim listening on 0.0.0.0 to expose all ports. Also, we run
-# using `--dev` to print verbose logs. Port 43800 is the default port of
-# `aim up` but explicit is better than implicit.
-CMD ["aim up --host 0.0.0.0 --port 7860 --workers 2"]
+# Check for successful response
+response.raise_for_status()
 
+# Print inference results
+print(json.dumps(response.json(), indent=2))