jaya-sandeep-22
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Parent(s):
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Upload 3 files
Browse files- Dockerfile +27 -0
- app.py +24 -0
- requirements.txt +6 -0
Dockerfile
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## use the official python 3.10 image
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FROM python:3.10
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## Set the working Directory to /code
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WORKDIR /code
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##copy the current working directory contents in the container at /code
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COPY .requirements.txt /code/requirements.txt
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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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##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 user's home directory
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WORKDIR $HOME/app
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# Copy the current directory contents into the container at $HOME/app setting the owner
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COPY --chown=user . $HOME/app
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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
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from fastapi import FastAPI
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from transformers import pipeline
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##create a new fastapi app instance
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app=FastAPI()
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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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@app.get("/")
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def home():
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return {"message": "Welcome to the Text Generation API"}
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## Define a function to handle GET Request at '/generate'
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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 based on the input 'text'
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output=pipe(text)
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## return the generated text in Json response
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return {"output":output[0]['generated_text']}
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requirements.txt
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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.*
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