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Download backend.py from MLDeveloper/python_compiler: direct link, hf CLI and curl.
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- Download file 750 Bytes
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https://huggingface.co/spaces/MLDeveloper/python_compiler/resolve/801d064cc26598e05a9d43d8bede514b371535c4/backend.py
- Command line
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hf download hf://spaces/MLDeveloper/python_compiler@801d064cc26598e05a9d43d8bede514b371535c4/backend.py
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curl -L -o backend.py https://huggingface.co/spaces/MLDeveloper/python_compiler/resolve/801d064cc26598e05a9d43d8bede514b371535c4/backend.py
750 Bytes
| from flask import Flask, request, jsonify | |
| import subprocess | |
| app = Flask(__name__) | |
| def run_code(): | |
| try: | |
| code = request.json.get("code", "") | |
| if not code: | |
| return jsonify({"output": "No code provided!"}), 400 | |
| # Run Python code in a subprocess | |
| process = subprocess.run( | |
| ["python", "-c", code], | |
| capture_output=True, | |
| text=True | |
| ) | |
| output = process.stdout if process.stdout else process.stderr | |
| return jsonify({"output": output}) | |
| except Exception as e: | |
| return jsonify({"output": f"Error: {str(e)}"}), 500 | |
| if __name__ == "__main__": | |
| app.run(debug=True, port=5000) | |