Update README.md

README.md

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 - fastai
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-# Amazing!
+# Andrew Alpha
 
-🥳 Congratulations on hosting your fastai model on the Hugging Face Hub!
+This is a proof-of-concept version of our Artificial Intelligence model to classify images of bark and ambrosia beetles. As an input, please use an image of a specimen, or a group of specimens, ideally in ethanol with a white background.
 
-# Some next steps
-1. Fill out this model card with more information (see the template below and the [documentation here](https://huggingface.co/docs/hub/model-repos))!
+This proof-of-concept model has been trained on a preliminary sample of 12 species: Coccotypes dactyliperda, Hylesinus varius, Monarthrum fasciatum, Phloeosinus dentatus, Pityophthorus juglandis, Platypus cylindrus, Pycnarthrum hispidium, Scolytodes schwarzi, Xyleborinus saxesenii, Xyleborus affinis, Xylosandrus compactus, and Xylosandrus crassiusculus.
 
-2. Create a demo in Gradio or Streamlit using 🤗 Spaces ([documentation here](https://huggingface.co/docs/hub/spaces)).
+For correct interpretation of the results, it is important to consider not just the suggested name, but also the associated probability. Identification of other species is coming soon, as soon as they are added to the training set.
 
-3. Join the fastai community on the [Fastai Discord](https://discord.com/invite/YKrxeNn)!
+You can find example photos [here](https://ambrosiasymbiosis.org/automated_identification/examples.html) (new tab) and test them using [Hugging Face space to our model](https://huggingface.co/spaces/ChristopherMarais/Andrew_Alpha). 
 
-Greetings fellow fastlearner 🤝! Don't forget to delete this content from your model card.
-
-
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-
-
-# Model card
-
-## Model description
-More information needed
-
-## Intended uses & limitations
-More information needed
-
-## Training and evaluation data
-More information needed
+Our model is based on the MaxViT architecture taht ahs been fpre-trained on imagenet and fine tuned on our own dataset.