Create model

app.py

@@ -1,7 +1,18 @@
 import gradio as gr
+from fastai.vision.all import *
 
 def greet(name):
     return "Hello " + name + "!!"
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+learn = load_learner('condensed_model.pkl')
+
+def classify_image(image):
+    prediction, idx, probabilities = learn.predict(image)
+    return dict(zip(learn.dls.vocab, map(float, probabilities)))
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label(num_top_classes=3)
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, capture_session=True)
+
+intf.launch(inline=False)

condensed_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:de2ef000eada35bb6bc1d7c393a4512f07f7bde43f324f6e72c938be0d906317
+size 46967087

model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4ceaafec83536ea112aaeaba78bfeed4820c8f2b63420ff82672d954d86d5568
+size 46975599

model_with_all.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:da0b16e38af9891140f42ed61b3818a663818554b246604dea30e5f4e55ea6f4
+size 46995375