基于深度学习的DGA恶意域名检测 commited on
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  1. Dockerfile +27 -0
  2. main.py +20 -0
  3. requirements.txt +7 -0
Dockerfile ADDED
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+ # Use the official Python 3.9 image
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+ FROM python:3.9
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+
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+ # Set the working directory to /code
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+ WORKDIR /code
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+
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+ # Copy the current directory contents into the container at /code
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+ COPY ./requirements.txt /code/requirements.txt
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+
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+ # Install requirements.txt
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+ RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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+
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+ # Set up a new user named "user" with user ID 1000
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+ RUN useradd -m -u 1000 user
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+ # Switch to the "user" user
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+ USER user
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+ # Set home to the user's home directory
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+ ENV HOME=/home/user \
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+ PATH=/home/user/.local/bin:$PATH
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+
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+ # Set the working directory to the user's home directory
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+ WORKDIR $HOME/app
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+
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+ # Copy the current directory contents into the container at $HOME/app setting the owner to the user
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+ COPY --chown=user . $HOME/app
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+
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+ CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
main.py ADDED
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+ from fastapi import FastAPI
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+ from fastapi.staticfiles import StaticFiles
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+ from fastapi.responses import FileResponse
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+
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+ from transformers import pipeline
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+
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+ app = FastAPI()
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+
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+ pipe_flan = pipeline("text2text-generation", model="google/flan-t5-small")
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+
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+ @app.get("/infer_t5")
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+ def t5(input):
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+ output = pipe_flan(input)
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+ return {"output": output[0]["generated_text"]}
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+
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+ app.mount("/", StaticFiles(directory="static", html=True), name="static")
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+
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+ @app.get("/")
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+ def index() -> FileResponse:
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+ return FileResponse(path="/app/static/index.html", media_type="text/html")
requirements.txt ADDED
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+ fastapi==0.74.*
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+ requests==2.27.*
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+ sentencepiece==0.1.*
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+ torch==1.11.*
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+ transformers==4.*
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+ uvicorn[standard]==0.17.*
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+