Model and Interface Ready

app.py

@@ -1,7 +1,21 @@
+from fastai.vision import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+learner = load_learner('doc_classifier_model.pkl')
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+categories = ['Factura', 'Boleta', 'Formulario']
+
+def classify_doc(img):
+    pred, idx, probs = learner.predict(img)
+    return dict(zip(categories, map(float, probs)))
+
+image = gr.inputs.Image(shape=(224, 224))
+label = gr.outputs.Label(num_top_classes=3)
+examples = [
+    ['factura.jpg'],
+    ['boleta.jpg'],
+    ['formulario.jpg']
+]
+
+iface = gr.Interface(fn=classify_doc, inputs=image, outputs=label, examples=examples)
+iface.launch(inline=False)

doc_classifier_model.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:5e4984ffd183852fd3fbd151ff3087cc2df8a7f7490848de0f77959a0836fe8b
+size 46974219