Deploy Art_Mood

app.py

@@ -0,0 +1,18 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('export.pkl')
+
+def predict(img):
+    labels = learn.dls.vocab
+    im = PILImage.create(img)
+    pred,pred_idx,probs = learn.predict(im)
+    return {label: float(prob) for (label,prob) in zip(labels,probs)}
+
+gr.Interface(fn=predict,
+             inputs=gr.inputs.Image(shape=((400,400))),
+             outputs=gr.outputs.Label(num_top_classes=4),
+             title = "Art Mood",
+             examples =  [f'_Image{i}.jpg' for i in range(5,12)],
+             description= "What is the Mood of the Art? Spring, Summer, Winter or Fall?").launch(share=True, enable_queue=True)

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:399c9a23aab84157a48c5468caec1bb1e9e574ab580c5bd8cccec375840e5cb4
+size 102931549

requirements.txt

@@ -0,0 +1,2 @@
+fastai
+scikit-image