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  1. Dockerfile +31 -0
  2. app.py +21 -0
  3. requirements.txt +6 -0
Dockerfile ADDED
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+ ## use of official python 3.10 image
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+ FROM python:3.10
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+
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+ ## set working directory to /code
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+ WORKDIR /code
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+
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+ ##copy the current dir contents in the container at /code
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+ COPY ./requirements.txt /code/requirements.txt
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+
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+ ## install requirements.txt
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+ RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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+
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+ ## set up a new user names "user"
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+ RUN useradd user
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+
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+ ## switch to the "user" user
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+ USER user
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+
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+ ## set home to 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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+
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+ ## set the working directory to user's hoem directory
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+ WORKDIR $HOME/app
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+
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+ ##copy the current directory contents into the container at $HOME/app setting owner to
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+ COPY --chown=user . $HOME/apps
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+
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+ ## start fastapi app on port 7860C
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+ CMD ["uvicorn","app:app","--host","0.0.0.0","--port","7860"]
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+
app.py ADDED
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+ from fastapi import FastAPI
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+ from transformers import pipeline
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+
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+ ## create a new fastapi app instance
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+ app=FastAPI()
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+
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+ ## intitialise text generation pipeline(code taken from huggingface)
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+ pipe = pipeline("text2text-generation", model="google/flan-t5-small")
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+
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+ ##first route
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+ @app.get("/")
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+ def home():
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+ return {"message":"Hello World"}
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+
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+ # generate a function to handle GET requests at "/generate"
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+ @app.get("/generate")
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+ def generate(text:str):
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+ # use pipeline to generate text from given input text
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+ output=pipe(text)
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+ # return generated text in json format
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+ return {"output":output[0]['generated_text']}
requirements.txt ADDED
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+ fastapi==0.74.*
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+ requests==2.27.*
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+ uvicorn[standard]==0.17.*
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+ sentencepiece==0.1.*
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+ torch==1.11.*
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+ transformers==4.*