Divya1287 commited on
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be84b83
1 Parent(s): 82e1db6

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Files changed (2) hide show
  1. Dockerfile +21 -3
  2. app.py +6 -6
Dockerfile CHANGED
@@ -1,12 +1,30 @@
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- FROM python 3.9
 
 
 
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  WORKDIR /text2text
 
 
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  COPY ./requirements.txt /text2text/requirements.txt
 
 
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  RUN pip install --no-cache-dir --upgrade -r /text2text/requirements.txt
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- RUN useradd 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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  WORKDIR $HOME/app
 
 
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  COPY --chown=user . $HOME/app
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- CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
 
 
 
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+ # Use Official Python image
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+ FROM python:3.9
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+
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+ # Set the working directory
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  WORKDIR /text2text
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+
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+ # Copy the requirements file into the container
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  COPY ./requirements.txt /text2text/requirements.txt
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+
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+ # Install the requirements
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  RUN pip install --no-cache-dir --upgrade -r /text2text/requirements.txt
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+
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+ # Add a new user
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+ RUN useradd -m user
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+
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+ # Switch to the new user
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  USER user
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+
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+ # Set environment variables
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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 for the user
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  WORKDIR $HOME/app
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+
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+ # Copy the current directory contents into the container
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  COPY --chown=user . $HOME/app
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+
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+ # Define the command to run the application
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+ CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
app.py CHANGED
@@ -1,16 +1,16 @@
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  from fastapi import FastAPI
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  from transformers import pipeline
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- # Creat a new FastAPI app instance
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- app=FastAPI()
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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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  @app.get("/generate")
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- def generate():
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- output=pipe(text)
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- return {"output":output[0]['generated_text']}
 
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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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  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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  @app.get("/generate")
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+ def generate(text: str):
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+ output = pipe(text)
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+ return {"output": output[0]['generated_text']}