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Upload 3 files
Browse files- Dockerfile +7 -9
- app.py +48 -32
- requirements.txt +2 -2
Dockerfile
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FROM python:3.10
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir -r /code/requirements.txt
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# Create and use non-root user
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RUN useradd -m user
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USER user
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# Set environment variables
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:${PATH}
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WORKDIR $HOME/app
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COPY --chown=user . $HOME/app
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# Run the application
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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FROM python:3.10 as builder
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade pip && \
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pip install --no-cache-dir -r /code/requirements.txt
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FROM python:3.10-slim
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RUN useradd -m user
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USER user
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ENV HOME=/home/user \
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PATH=/home/user/.local/bin:${PATH} \
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PYTHONUNBUFFERED=1
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WORKDIR $HOME/app
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COPY --from=builder /usr/local/lib/python3.10/site-packages /usr/local/lib/python3.10/site-packages
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COPY --chown=user . $HOME/app
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CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]
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app.py
CHANGED
@@ -1,46 +1,62 @@
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from
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try:
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from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
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except ImportError as e:
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print(f"Error importing from mistral_common: {e}")
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raise
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# Initialize FastAPI app
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app = FastAPI()
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#
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model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
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# Load recommended tokenizer
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tokenizer = MistralTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
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@app.get("/")
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def home():
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return {"message": "Hello World"}
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@app.get("/generate")
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def generate(text: str):
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try:
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output = pipe(text)
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return {"output": output[0]['generated_text']}
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except Exception as e:
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import logging
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from fastapi import FastAPI, HTTPException
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from transformers import AutoModelForCausalLM, pipeline
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from peft import PeftModel, PeftConfig
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from mistral_common.tokens.tokenizers.mistral import MistralTokenizer
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# Set up logging
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logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Initialize FastAPI app
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app = FastAPI()
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# Global variables for model, tokenizer, and pipeline
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model = None
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tokenizer = None
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pipe = None
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@app.on_event("startup")
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async def load_model():
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global model, tokenizer, pipe
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try:
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logger.info("Loading PEFT configuration...")
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config = PeftConfig.from_pretrained("frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
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logger.info("Loading base model...")
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base_model = AutoModelForCausalLM.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
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logger.info("Loading PEFT model...")
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model = PeftModel.from_pretrained(base_model, "frankmorales2020/Mistral-7B-text-to-sql-flash-attention-2-dataeval")
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logger.info("Loading tokenizer...")
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tokenizer = MistralTokenizer.from_pretrained("mistralai/Mistral-7B-Instruct-v0.3")
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logger.info("Creating pipeline...")
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pipe = pipeline("text2text-generation", model=model, tokenizer=tokenizer)
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logger.info("Model, tokenizer, and pipeline loaded successfully.")
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except Exception as e:
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logger.error(f"Error loading model or creating pipeline: {e}")
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raise
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@app.get("/")
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def home():
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return {"message": "Hello World"}
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@app.get("/generate")
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async def generate(text: str):
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if not pipe:
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raise HTTPException(status_code=503, detail="Model not loaded")
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try:
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output = pipe(text, max_length=100, num_return_sequences=1)
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return {"output": output[0]['generated_text']}
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except Exception as e:
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logger.error(f"Error during text generation: {e}")
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raise HTTPException(status_code=500, detail=f"Error during text generation: {str(e)}")
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if __name__ == "__main__":
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import uvicorn
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uvicorn.run(app, host="0.0.0.0", port=7860)
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requirements.txt
CHANGED
@@ -2,9 +2,9 @@ fastapi==0.103.0
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requests==2.27.*
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uvicorn[standard]==0.17.*
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torch>=1.13.0
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transformers>=4.34.0,<
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numpy<2
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peft>=0.
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accelerate>=0.24.1,<0.25.0
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huggingface_hub>=0.16.4,<0.18.0
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tokenizers>=0.14.0,<0.15.0
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requests==2.27.*
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uvicorn[standard]==0.17.*
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torch>=1.13.0
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transformers>=4.34.0,<5.0.0
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numpy<2
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peft>=0.7.0
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accelerate>=0.24.1,<0.25.0
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huggingface_hub>=0.16.4,<0.18.0
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tokenizers>=0.14.0,<0.15.0
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