Spaces:
Sleeping
Sleeping
Add application file
Browse files- app.py +18 -0
- bears_model.pkl +3 -0
- requirements.txt +4 -0
app.py
ADDED
@@ -0,0 +1,18 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
import gradio as gr
|
2 |
+
from fastai.vision.all import *
|
3 |
+
|
4 |
+
learn = load_learner('bears_model.pkl')
|
5 |
+
|
6 |
+
labels = learn.dls.vocab
|
7 |
+
def predict(img):
|
8 |
+
img = PILImage.create(img)
|
9 |
+
pred,pred_idx,probs = learn.predict(img)
|
10 |
+
return {labels[i]: float(probs[i]) for i in range(len(labels))}
|
11 |
+
|
12 |
+
title = "Bears Classifier"
|
13 |
+
description = "A bear classifier trained on the resnet18 dataset with fastai. Created as a demo for Gradio and HuggingFace Spaces."
|
14 |
+
article="<p style='text-align: center'><a href='https://tmabraham.github.io/blog/gradio_hf_spaces_tutorial' target='_blank'>Blog post</a></p>"
|
15 |
+
interpretation='default'
|
16 |
+
enable_queue=True
|
17 |
+
|
18 |
+
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,interpretation=interpretation,enable_queue=enable_queue).launch()
|
bears_model.pkl
ADDED
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
1 |
+
version https://git-lfs.github.com/spec/v1
|
2 |
+
oid sha256:8d0fc78f205e73440f98736d24c713542a360361684ac0e154907cfc6ee8af5e
|
3 |
+
size 46965720
|
requirements.txt
ADDED
@@ -0,0 +1,4 @@
|
|
|
|
|
|
|
|
|
|
|
1 |
+
fastai
|
2 |
+
git+https://github.com/huggingface/huggingface_hub
|
3 |
+
gradio
|
4 |
+
scikit-image
|