adding app

.gitattributes

@@ -32,3 +32,6 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+examples/bacterial_blight.jpg filter=lfs diff=lfs merge=lfs -text
+examples/healthy.jpg filter=lfs diff=lfs merge=lfs -text
+examples/soybean_rust.jpg filter=lfs diff=lfs merge=lfs -text

app.py

@@ -0,0 +1,20 @@
+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('export.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))}
+
+title = "Soybean desease Classifier"
+description = "A Soybean desease classifier trained with "
+article="<p style='text-align: center'><a href='https://www.kaggle.com/lucaskishima/soybeandeseaseclassifier/' target='_blank'>Blog post</a></p>"
+examples = ['examples/bacterial_blight.jpg','examples/cercospora_leaf_blight.jpg','examples/healthy.jpg','examples/septoria_glycines.jpg','examples/soybean_rust.jpg']
+interpretation='default'
+enable_queue=True
+
+gr.Interface(fn=predict,inputs=gr.inputs.Image(shape=(512, 512)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,article=article,examples=examples,interpretation=interpretation,enable_queue=enable_queue).launch(share=False)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:603533903d5931ccd4ce81f1aa99e0427f1d35f51aad32071ecdf8ffeaa4fd0f
+size 102906645

requirements.txt

@@ -0,0 +1 @@
+fastai