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txt2txtwithDockers

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  1. Dockerfile +36 -0
  2. app.py +22 -0
  3. requirements.txt +6 -0
Dockerfile ADDED
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+ ## use the official Python 3.9 image
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+
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+ FROM python:3.12.3
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+
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+ ## set the working dirextory to /code
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+ WORKDIR /code
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+
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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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+
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+
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+ ## intall the requirements.txt
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+
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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 named "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 the user's home directory
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+
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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 the users's home dorectory
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+ WORKDIR $HOME/app
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+
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+
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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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+
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+ COPY --chown=user . $HOME/app
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+
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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" ]
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 pipeline app instance
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+
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+
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+ app =FastAPI()
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+
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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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+
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+
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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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+ @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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+
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+ return {"output":output[0]['generated_text']}
requirements.txt ADDED
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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