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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 requirements.txt file into the container at /code
+COPY ./requirements.txt /code/requirements.txt
+
+## Install the requirements from 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 and set the owner to "user"
+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 a new FASTAPI app instance
+app = FastAPI()
+
+# Initialize the text generation pipeline
+pipe = pipeline("text2text-generation", model="HridaAI/Hrida-T2SQL-3B-128k-V0.1", 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 the 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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+
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
+
+
+fastapi==0.74.*
+transformers==4.*
+numpy<2.0.0