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Dockerfile

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+FROM python:3.9
+
+WORKDIR /app
+
+COPY requirements.txt /app/requirements.txt
+
+RUN pip install --upgrade pip --no-cache-dir && \
+    pip install --no-cache-dir -r /app/requirements.txt
+
+RUN useradd user
+
+USER user
+
+ENV HOME=/home/user \
+    PATH=/home/user/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+COPY --chown=user . $HOME/app
+
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

main.py

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+from fastapi import FastAPI
+from transformers import pipeline
+
+app = FastAPI()
+pipe = pipeline(task="text-generation", model="gpt2-large", framework="pt")
+
+
+@app.get("/")
+def root():
+    """
+    Returns home page.
+    """
+    return {"message": "Hello Ismael"}
+
+
+@app.get("/generate")
+def generate(text: str):
+    """
+    Using the text-generation pipeline from `transformers`, generate text
+    from the given input text. The model used is `openai-community/gpt2-large`, which
+    can be found [here](<https://huggingface.co/openai-community/gpt2-large>).
+    """
+    output = pipe(text)
+
+    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.*