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p-s-vishnu / cassava-leaf-disease-classification

Differentiate Cassava leaf diseases from a healthy one with a solution as simple as pip install cassava-classifier. 🍃🍂
MIT License
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inference with Fast API #15

Closed VpkPrasanna closed 3 years ago

VpkPrasanna commented 3 years ago

I will implement the inference with fast API as a backend

p-s-vishnu commented 3 years ago

@VpkPrasanna If you created this issue for the purpose of creating webapp then I will not put this as a priority at the moment. Streamlit app will not need an api if we are invoking the code through a package something like:

from cassava.pretrained import get_model

model = get_model('resnet50')  # We can directly use this model to infer in the app

So in my opinion first we will have to package this and then later as an added feature we can have an api if anyone wants to consume through their webapp/interface, makes sense?

VpkPrasanna commented 3 years ago

@VpkPrasanna If you created this issue for the purpose of creating webapp then I will not put this as a priority at the moment. Streamlit app will not need an api if we are invoking the code through a package something like:

from cassava.pretrained import get_model

model = get_model('resnet50')  # We can directly use this model to infer in the app

So in my opinion first we will have to package this and then later as an added feature we can have an api if anyone wants to consume through their webapp/interface, makes sense?

Yeah i totally agree with you . I saw some small demo to create a streamlit app so i can work on that .

VpkPrasanna commented 3 years ago

This issue can also be closed as it is completed @p-s-vishnu