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Dockerfile

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+## Use the official Python 3.9 image
+FROM python:3.9
+
+## set the working directory to /code
+WORKDIR /code
+
+## copy the current directory contents in the container at /code
+COPY ./requirements.txt /code/requirements.txt
+
+## install the requirements.txt
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+## set up a new user named "user"
+RUN useradd user
+
+## switch to the "user"
+USER user
+
+## set home to the user's hoe directory
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+## set the working directory to the user's home directory
+WORKDIR $HOME/app
+
+## copy the current directory contents into the contaoner at $HOME/app setting the owner to
+COPY --chown=user . $HOME/app
+
+## start the FASTAPI App on port 7860
+CMD ["unicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
+
+## 

app.py

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+from fastapi import FastAPI
+from transformers import pipeline
+
+## create a new FASTAPI app instance
+app=FastAPI()
+
+# Initialize the text generation pipeline
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/")
+def home():
+    return {"message": "Hello JWU"}
+
+# Define a function to handle the GET request at `/generate`
+@app.get("/generate")
+def generate(text:str):
+    ## use the pipeline to generate text from given input text
+    output = pipe(text)
+
+    ## return the generated yext in Json response 
+    return {"output":output[0]['generated_text']}

requirements.txt

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+fastapi ==0.74.*
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
+transformers==4.*