init

.ipynb_checkpoints/README-checkpoint.md

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+---
+title: Berries
+emoji: 🔥
+colorFrom: green
+colorTo: gray
+sdk: gradio
+sdk_version: 3.10.1
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

.ipynb_checkpoints/app-checkpoint.py

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+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()

app.py

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+import gradio as gr
+from fastai.vision.all import *
+
+learn = load_learner('model.pkl')
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+
+catergories = ("strawberry", "blueberry", "raspberry", "cranberry", "mulberry", "other")
+
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(128,128))
+label = gr.outputs.Label()
+
+iface = gr.Interface(fn=classify_image, inputs=image, outputs=label)
+iface.launch(inline=False)

berry_model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:dbbf348f433755da1da945234c1b0e81cbbe66d6ffe58a65337bee50d955d3e9
+size 46982629