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Dockerfile

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+## Use the official Python 3.9 image
+FROM python:3.11
+
+## 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"d
+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, HTTPException
+from pydantic import BaseModel
+from transformers import pipeline
+
+app = FastAPI()
+
+# Initialize the text generation pipeline
+pipe = pipeline("text-generation",  model="defog/llama-3-sqlcoder-8b", pad_token_id=2)
+
+class QueryRequest(BaseModel):
+    text: str
+
+@app.get("/")
+def home():
+    return {"message": "SQL Generation Server is running"}
+
+
+@app.post("/generate")
+def generate(request: QueryRequest):
+    try:
+        text = request.text
+        prompt = f"Generate a valid SQL query for the following request. Only return the SQL query, nothing else:\n\n{text}\n\nSQL query:"
+        output = pipe(prompt, max_new_tokens=100)
+        
+        generated_text = output[0]['generated_text']
+        sql_query = generated_text.split("SQL query:")[-1].strip()
+        
+        # Basic validation
+        if not sql_query.lower().startswith(('select', 'show', 'describe')):
+            raise ValueError("Generated text is not a valid SQL query")
+        
+        return {"output": sql_query}
+    except Exception as e:
+        raise HTTPException(status_code=500, detail=str(e))
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

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+
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
+numpy<2.0.0
+
+fastapi==0.74.*
+transformers==4.*