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Thanks for the fast PR, I really appreciate that. |
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hm ?! |
domiverse
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Dec 20, 2025
| .dockerignore | ||
| .gitignore | ||
| *.md | ||
| Dockerfile |
Euda1mon1a
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Dec 28, 2025
Add containerized deployment with NVIDIA CUDA support and a Gradio-based web interface for easier usage. Based on community PR apple#13.
domiverse
reviewed
Dec 28, 2025
| RUN .venv/bin/pip install -r requirements.txt | ||
| RUN .venv/bin/pip install gradio | ||
| RUN ln -s /app/.venv/bin/sharp /usr/local/bin/sharp | ||
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ENV FORCE_CUDA="1"
RUN .venv/bin/pip install ninja
RUN .venv/bin/pip install -r requirements.txt
domiverse
reviewed
Dec 28, 2025
| "-i", input_path, | ||
| "-o", "/app/data/output", | ||
| "--render" | ||
| ] |
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cmd = [
"sharp", "predict",
"-i", input_path,
"-o", "/app/data/output",
"--render"
]
domiverse
reviewed
Dec 28, 2025
| print(f"Error running sharp: {e}") | ||
| print(f"Stdout: {e.stdout.decode()}") | ||
| print(f"Stderr: {e.stderr.decode()}") | ||
| return None |
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try:
t = time.time()
print("Sharp started")
subprocess.run(cmd, check=True, capture_output=True)
print(f"Sharp command took {round(time.time() - t, 3)} seconds")
except subprocess.CalledProcessError as e:
print(f"Error running sharp: {e}")
print(f"Stdout: {e.stdout.decode()}")
print(f"Stderr: {e.stderr.decode()}")
return None
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This PR introduces a Dockerfile and compose.yml to simplify installation.
It also adds gradio_web.py to provide a web-based interface for improved usability.