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The current content of our project can become overly complex if we try to expand it to include more information about us, demos, or machine learning materials. Moreover, it may lose its simplicity. Therefore, for our future direction, we can consider developing an app using Gradio's native FastAPI to build upon the foundation of our current project. This app can serve as a playground and even allow us to develop more small applications related to Gradio.
Descriptions
The current content of our project can become overly complex if we try to expand it to include more information about us, demos, or machine learning materials. Moreover, it may lose its simplicity. Therefore, for our future direction, we can consider developing an app using Gradio's native
FastAPI
to build upon the foundation of our current project. This app can serve as a playground and even allow us to develop more small applications related toGradio
.Reference
gradio-app/gradio#1608
https://www.gradio.app/guides/fastapi-app-with-the-gradio-client
https://blog.deploif.ai/posts/productionizing_your_model
https://discuss.huggingface.co/t/dynamically-mount-a-gradio-block-from-within-a-fastapi-function/48983
Project Structure
https://github.com/pbudzyns/style-transfer-app
https://github.com/GunwooHan/Gradio-Streamlit-FastAPI-tutorial
https://github.com/dhanavishnu13/gradio_with_fastapi
https://github.com/petr7555/fastapi-gradio-towhee-demo
https://github.com/aybstain/Image_classifier_ResNet
fastapi_crud_ui_jinja2
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