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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 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 into the container at $HOME/app setting the owner to user
+COPY --chown=user:group . $HOME/app
+
+## start the FASTAPI App on port 7890
+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 a new FASTAPI app instance
+
+app = FastAPI()
+
+## Initiate the text generation pipeline
+pipe = pipeline("text-generation", model="TheBloke/Qwen-7B-Chat-AWQ", trust_remote_code=True)
+
+
+@app.get("/")
+def home():
+    return {"message": "Hello World"}
+
+# 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 test
+    output = pipe(text, max_length=100, clean_up_tokenization_spaces=True)
+    ##return the generate 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.*