model added

app.py

@@ -1,7 +1,36 @@
 import gradio as gr
+from fastai.vision.all import *
+
+learner = load_learner('dermatologist_fastai.pkl')
+categories = (
+    'acne_vulgaris',
+ 'actinic_keratosis',
+ 'allergic_contact_dermatitis',
+ 'dermatofibroma',
+ 'drug_induced_pigmentary_changes',
+ 'granuloma_annulare',
+ 'hidradenitis',
+ 'kaposi_sarcoma',
+ 'melanoma',
+ 'necrobiosis_lipoidica',
+ 'nematode_infection',
+ 'neutrophilic_dermatoses',
+ 'photodermatoses',
+ 'psoriasis',
+ 'sarcoidosis',
+ 'xeroderma_pigmentosum'
+)
+
+def predict(img):
+    preds, idx, probs = learner.predict(img)
+    return dict(zip(categories, map(float, probs)))  
 
 def greet(name):
     return "Hello " + name + "!!"
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
-demo.launch()
+image = gr.inputs.Image()
+label = gr.outputs.Label()
+
+
+demo = gr.Interface(fn=predict, inputs=image, outputs=label)
+demo.launch(inline=False)

dermatologist_fastai.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:e5751c152926d3d696a1943c1ceef49ea71c5011775dc04207cbb2c7b2a924d3
+size 47097515