updated app.py

app.py

@@ -1,7 +1,17 @@
+from fastai.vision.all import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learn = load_learner('model.pkl')
+labels = learn.dls.vocab
+def predict(img):
+    img = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(img)
+    return {labels[i]: float(probs[i]) for i in range(len(labels))}
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+title = "Tuberculosis detector"
+description = "A tuberculsosis detector trained on 3700 chest xray images. Created as a demo for Gradio and HuggingFace Spaces."
+# examples = ['fogsmog.jpeg', 'frost.jpeg', 'glaze.jpeg', 'hail.jpeg', 'rain.jpeg', 'rainbow.jpeg', 'snow.jpeg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=2),title=title,description=description,interpretation=interpretation,enable_queue=enable_queue).launch(share=True)

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:0325ba07b04747d0224c8b26dbae0d438d22d7fcbfe72eda5a2af1aafa9f16f8
+size 47026731