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  1. Dockerfile +31 -0
  2. app.py +26 -0
  3. requirements.txt +6 -0
Dockerfile ADDED
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+ ## Use the official Python 3.9 image
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+ FROM python:3.9
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+
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+ ## set the working directory 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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+ ## Install the 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 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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+
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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 user's home 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 the owner to the user
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+ COPY --chown=user . $HOME/app
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+
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+ ## Start the FASTAPI App on port 7860
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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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+ # Initialize the text generation pipeline
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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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+ # Define a function to handle the GET request at `/generate`
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+
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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 text from given input text
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+ output=pipe(text)
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+
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+ ## return the generate text in Json reposne
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+ return {"output":output[0]['generated_text']}
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+
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+
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.*