Thibault Goehringer
commited on
Commit
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1ef8a31
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Parent(s):
dee3e1a
Base files
Browse files- Dockerfile +19 -0
- README.md +1 -0
- main.py +25 -0
- requirements.txrt +5 -0
Dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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# Get secret openai_api_token and output it to /test at buildtime
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RUN --mount=type=secret,id=openai_api_token,mode=0444,required=true \
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cat /run/secrets/openai_api_token > /test
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# Get secret openai_api_token and clone it as repo at buildtime
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RUN --mount=type=secret,id=openai_api_token,mode=0444,required=true \
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git clone $(cat /run/secrets/openai_api_token)
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CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "7860"]
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README.md
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colorTo: green
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sdk: docker
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pinned: false
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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colorTo: green
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sdk: docker
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pinned: false
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app_port: 7860
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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main.py
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import openai
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openai.api_key = os.environ.get("openai_api_key")
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_tweet = "I'm a pretty average middle aged guy, got a solid job and had a good family but things got messy and took " \
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"a turn for the worst. Everyone says you need to hit rock bottom to go back up so here I am!"
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def prompt(tweet, roast=True):
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roast_or_toast = "snarky joke" if roast else "encouragement"
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return f"A user tweeted this tweet:\n\n{tweet}\\n\nThe following {roast_or_toast} was given as an answer:"
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response = openai.Completion.create(
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engine="text-davinci-002",
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prompt=prompt(_tweet, roast=False),
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temperature=0.7,
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max_tokens=60,
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top_p=1,
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frequency_penalty=0,
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presence_penalty=0
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)
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print(response.choices[0].text.strip())
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requirements.txrt
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fastapi==0.74.*
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requests==2.27.*
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sentencepiece==0.1.*
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uvicorn[standard]==0.17.*
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openai
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