Upload app.py

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app.py

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+# -*- coding: utf-8 -*-
+"""jet_classifier_2020.ipynb
+
+Automatically generated by Colab.
+
+Original file is located at
+    https://colab.research.google.com/drive/1k58WRaHBA0ndeIlVSDUk9QPywUFZkWPl
+
+##Test
+Previously trained model from 2020 (using vgg), testing if it is still deployable. have to upload my Pickle file(fighter_jets_model_3_vgg.pkl) onto this server. might take a bit of time to upload
+"""
+
+
+
+#|default_exp app
+
+#|export
+# importing fastai library
+from fastai.vision.all import *
+import gradio as gr
+import skimage
+
+
+#|export
+learn = load_learner('fighter_jets_model_3_vgg.pkl')
+
+#|export
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
+
+
+"""## Gradio
+trying it on gradio
+"""
+
+#|export
+title = "Moder Fighter Jet Classifier"
+description = "Finetuned VGG neural net using less then 50 photos per aircraft"
+interpretation = "default"
+enable_queue = True
+gr.Interface(fn=predict, inputs="image", outputs="label", title=title,description=description).launch(share=True)
+
+