aowe commited on
Commit
597a5f5
1 Parent(s): e8b6643
Files changed (4) hide show
  1. app.py +27 -4
  2. requirements.txt +5 -0
  3. slope.jpg +0 -0
  4. track.jpeg +0 -0
app.py CHANGED
@@ -1,7 +1,30 @@
 
 
 
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  import gradio as gr
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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- def greet(name):
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- return "Hello " + name + "!!"
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- iface = gr.Interface(fn=greet, inputs="text", outputs="text")
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- iface.launch()
 
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+ __all__ = ['learn', 'classify_image', 'categories', 'image', 'label', 'examples', 'intf']
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+
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+ from fastai.vision.all import *
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  import gradio as gr
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+ import timm
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+
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+ # Some magic according to https://forums.fast.ai/t/lesson-2-official-topic/96033/376?page=17
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+ def is_cat(x):
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+ return x[0].isupper() # Used by model
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+
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+ import sys
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+ sys.modules["__main__"].is_cat = is_cat
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+
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+ # Upload your model
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+ learn = load_learner('/kaggle/input/xc-downhill/model.pkl')
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+
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+ categories = learn.dls.vocab
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+
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+ def classify_image(img):
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+ pred,idx,probs = learn.predict(img)
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+ return dict(zip(categories, map(float,probs)))
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+
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+ image = gr.Image()
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+ label = gr.Label()
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+ # Upload your own images and link them
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+ examples = ['slope.jpg', 'track.jpeg']
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+ intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
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+ intf.launch()
requirements.txt ADDED
@@ -0,0 +1,5 @@
 
 
 
 
 
 
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+ fastai
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+ gradio
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+ timm
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+ torch
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+ torchvision
slope.jpg ADDED
track.jpeg ADDED