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txt2txtwithDockers
Browse files- Dockerfile +36 -0
- app.py +22 -0
- requirements.txt +6 -0
Dockerfile
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## use the official Python 3.9 image
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FROM python:3.12.3
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## set the working dirextory to /code
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WORKDIR /code
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## copy the current directory contents in the container at /code
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COPY ./requirements.txt /code/requirements.txt
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## intall the requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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#set up a new user named "user"
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RUN useradd user
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#switch to the "user"user
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USER user
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# set home to the user's home directory
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ENV HOME = /home/user \
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PATH = /home/user/.local/bin:$PATH
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# set the working directory to the users's home dorectory
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WORKDIR $HOME/app
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#copy the current directory contents into the container at $HOME/app setting the ower to the user
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COPY --chown=user . $HOME/app
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##start the Fastapi App on PORT
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CMD [ "uvicorn","app:app" ,"--host","0.0.0.0","--port","7860" ]
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app.py
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from fastapi import FastAPI
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from transformers import pipeline
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# create a new pipeline app instance
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app =FastAPI()
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#Initialize the test generation
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pipe = pipeline("text2text-generation", model="google/flan-t5-small")
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@app.get("/")
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def home():
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return {"message":"Hello, world!"}
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@app.get("/generate")
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def generate(text:str):
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# use the pipeline to generate ttext from given input text
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output =pipe(text)
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return {"output":output[0]['generated_text']}
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requirements.txt
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fastapi
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requests
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uvicorn[standard]
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sentencepiece
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torch
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transformers
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