Add app files

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+path_model = "model_trash.pkl"
+learn = load_learner(path_model)
+
+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))}
+
+title = "Kind of trash identifier"
+description = "Simple (and not very accurate) model for identifying category of trash for recycling purposes. The model was finetuned version of resnet with 34 layers with trash dataset found on github <https://github.com/garythung/trashnet>"
+
+path_example = r"C:\Users\AleksandraMuciek\Documents\99. Other\Sustainability\Zdjęcia z domu\szkl.jpg"
+examples = [path_example]
+
+#interpretation function
+interpretation='default'
+
+#queueing traffic
+enable_queue=True
+
+
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=(512, 512)),
+             outputs=gr.outputs.Label(num_top_classes=3),
+             title=title,
+             description=description,
+             #article=article, # I haven't created that
+             examples=examples,
+             interpretation=interpretation,
+             enable_queue=enable_queue).launch()

model_trash.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:a347701ee5e53031321d16fbeab3d6a5e26447162c79b45ed394b0f6326e7084
+size 87501919

requirements.txt

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+fastai
+scikit-image