Instructions to use ghafil/AiroDx-API with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Keras
How to use ghafil/AiroDx-API with Keras:
# Available backend options are: "jax", "torch", "tensorflow". import os os.environ["KERAS_BACKEND"] = "jax" import keras model = keras.saving.load_model("hf://ghafil/AiroDx-API") - Notebooks
- Google Colab
- Kaggle
File size: 858 Bytes
14622e3 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 | # Use official lightweight Python image
FROM python:3.11-slim
# Set environment variables
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV TF_CPP_MIN_LOG_LEVEL=2
ENV TF_ENABLE_ONEDNN_OPTS=0
# Create a working directory
WORKDIR /app
# Install system dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
build-essential \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
# Copy the model files directly into the image (Since it's only ~92MB!)
COPY model/ ./model/
# Copy your application code
COPY app.py .
# Expose the port FastAPI runs on
EXPOSE 8000
# Command to run the application using uvicorn (Simpler for HuggingFace)
CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "8000"] |