something

app.py

@@ -0,0 +1,20 @@
+from fastai.vision.all import *  
+import gradio as gr  
+  
+learn = load_learner("export.pkl")  
+  
+categories = ("Benign", "Malignant")  
+  
+def classify_image(img):  
+    pred,idx,probs = learn.predict(img)  
+    return dict(zip(categories, map(float,probs)))  
+  
+image = gr.inputs.Image(shape=(192,192))  
+label = gr.outputs.Label()  
+examples = ['benign.jpg','malignant.jpg']  
+title = 'Skin Cancer Predictor'  
+description = 'This app predicts skin cancer. For reference only.'  
+article = "Author: <a href=\"https://huggingface.co/evawade17\">Eva Wade</a>. "  
+  
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples, title=title, description=description, article=article)  
+intf.launch(inline=False)  

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:76d338dee621cbe89c0045b757a4dc0d8cf039bba93937ec933af61f3959aed3
+size 87509473

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+timm