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Browse files- Dockerfile +28 -0
- Dockerfile.txt +28 -0
- app.py +26 -0
- requirements.txt +7 -0
- venv +0 -0
Dockerfile
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# use the following image python 3.9
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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 current 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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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 $HOME/app setting the owner to
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COPY --chown=user .$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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Dockerfile.txt
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# use the following image python 3.9
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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 current 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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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 $HOME/app setting the owner to
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COPY --chown=user .$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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huggingface-cli login
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# Use a pipeline as a high-level helper
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from transformers import pipeline
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# pipe = pipeline("text-generation" , model="mistralai/Mistral-7B-v0.1")
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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":"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 given input text
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output = pipe(text)
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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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sentencepiece==0.2.0
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torch==2.5.1
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transformers==4.*
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venv
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File without changes
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