Spaces:
Sleeping
Sleeping
Upload 2 files
Browse files- app.py +13 -1
- requirements.txt +2 -0
app.py
CHANGED
@@ -1,3 +1,15 @@
|
|
1 |
import gradio as gr
|
|
|
2 |
|
3 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
import gradio as gr
|
2 |
+
from transformers import pipeline
|
3 |
|
4 |
+
pipeline = pipeline(task="image-classification", model="Fu-chiang/bit-50-skin-lesions")
|
5 |
+
|
6 |
+
def predict(image):
|
7 |
+
predictions = pipeline(image)
|
8 |
+
return {p["label"]: p["score"] for p in predictions}
|
9 |
+
|
10 |
+
gr.Interface(
|
11 |
+
predict,
|
12 |
+
inputs=gr.inputs.Image(label="Upload skin lesion picture", type="filepath"),
|
13 |
+
outputs=gr.outputs.Label(num_top_classes=2),
|
14 |
+
title="Melanoma or Nevus?",
|
15 |
+
).launch()
|
requirements.txt
ADDED
@@ -0,0 +1,2 @@
|
|
|
|
|
|
|
1 |
+
transformers
|
2 |
+
torch
|