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barathm111
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39c32e5
Upload 3 files
Browse files- Dockerfile +30 -0
- app.py +20 -0
- requirements.txt +6 -0
Dockerfile
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## Use the official Python 3.9 image
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FROM python:3.9
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## Set the working directory to /code
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WORKDIR /code
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## Copy the requirements.txt file into the container at /code
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COPY ./requirements.txt /code/requirements.txt
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## Install the requirements from 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 and set the owner to "user"
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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="juierror/text-to-sql-with-table-schema")
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@app.get("/")
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def home():
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return {"message": "Hello World"}
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# Define a function to handle the 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 from the given 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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