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Dockerfile

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+## Us the official Python 3.9 image
+
+FROM python:3.7
+
+## 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 user 
+
+# set home to the 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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+## generative applications for text generation
+
+from fastapi import FastAPI
+from transformers import pipeline
+
+## create a new FASTAPI app instance
+app = FastAPI()
+
+pipe = pipeline("text2text-generation", model="google/flan-t5-small")
+
+@app.get("/")
+def home():
+ return {"message":"hello Word"}
+
+# define a function to handle the GEt request at '/generate'
+@app.get("/generate")
+def generate(text:str):
+ ## use the pipeline to generate tet from given input text
+ output=pipe(text)
+ 
+ ## return the generate text in json response
+ return {"output":output[0]['generated']}

requirements.txt

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