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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
+
+## Setup a new user named "user"
+RUN useradd user
+## Switch to the "user" user
+USER user
+
+## Set home to user's home 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 container at $HOME/app setting the owner to
+COPY --chown=user . $HOME/app
+
+## Start the FASTAPI App on port 7860
+CMD ["uvicorn","app.app","--host","0.0.0.0","--port","7860"]
+

app.py

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+from fastapi import FastAPI
+from transformers import pipeline
+
+## Create new FASTAPI app instance
+app = FASTAPI()
+
+## Initialize text generation pipeline
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+
+@app.get("/")
+def home():
+    return {"message": "Hello User!"}
+
+## Define a function to handle the GET request as '/generate'
+
+@app.get('/generate')
+def generate(text:str):
+    ## Use the pipeline to generate text from given input text
+    output = pipe(text)
+    
+    ## return the generated text 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.*