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Dockerfile

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+## use the official python3.9 image
+FROM python:3.9-slim
+
+## set the working directory
+WORKDIR /code
+
+## copy the dependencies file to the working directory (in container /code)
+COPY ./requirements.txt /code/requirements.txt
+
+## install the dependencies
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+# Setup a new use to avoid root
+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 home directory to user's home directory
+WORKDIR $HOME/app
+
+# Copy the current directory contents into the container at $HOME/app
+COPY --chown=user . $HOME/app
+
+# Start fast api 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 tranformers import pipeline
+
+
+## create a 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": "Welcome to home page!"}
+
+# Define a function to handle the GET request at '/generate'
+
+
+@app.get("/generate")
+def generate(text: str):
+    # Generate text using the pipeline
+    generated_text = pipe(text)
+
+    # Return the generated text
+    return {"output": generated_text[0]["generated_text"]}

requirements.txt

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+fastapi
+requests
+uvicorn[standard]
+sentencepiece
+torch
+transformers