🐳 Get started with your Docker Space! Your new Space has been created, follow these steps to get started (or read the full documentation)
Start by cloning this repo by using:
Use an access token as git password/credential
When prompted for a password, use an access token with write permissions.
Generate one from your settings: https://huggingface.co/settings/tokens
git clone https://huggingface.co/spaces/seamo-ai/fishapi
Make sure hf CLI is installed: pip install -U "huggingface_hub[cli]"
hf download seamo-ai/fishapi --repo-type=space Let's create a simple Python app using FastAPI:
requirements.txt
fastapi uvicorn[standard] Hint You can also create the requirements file file directly in your browser. app.py
from fastapi import FastAPI
app = FastAPI()
@app.get("/") def greet_json(): return {"Hello": "World!"} Hint You can also create the app file file directly in your browser. Create your Dockerfile:
Read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
you will also find guides on how best to write your Dockerfile
FROM python:3.9
RUN useradd -m -u 1000 user USER user ENV PATH="/home/user/.local/bin:$PATH"
WORKDIR /app
COPY --chown=user ./requirements.txt requirements.txt RUN pip install --no-cache-dir --upgrade -r requirements.txt
COPY --chown=user . /app CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"] Hint Alternatively, you can create the Dockerfile file directly in your browser. Then commit and push:
git add requirements.txt app.py Dockerfile git commit -m "Add application file" git push Finally, your Space should be running on this page after a few moments!
App port
Your Docker Space needs to listen on port 7860.
Personalize your Space
Make your Space stand out by customizing its emoji, colors, and description by editing metadata in its README.md file.
Documentation
Read the full documentation for Docker Spaces here.
Seamo Model card seamo-ai/marina-species-v1
License: apache-2.0 Model card Files and versions Community Settings Getting started with your model Complete model information Add metadata and complete your model card to make your model more discoverable.
Push your model files Upload your model weights to this repository.
CLI Python Git HTTPS SSH
brew install huggingface-cli
hf auth login
hf upload seamo-ai/marina-species-v1 . You can also upload directly from the website using the File Uploader.
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