initial

README.md

@@ -1,8 +1,8 @@
 ---
-title: Ice Cream
-emoji: 💩
+title: Ice Cream Flavors
+emoji: 🍨
 colorFrom: purple
-colorTo: indigo
+colorTo: yellow
 sdk: gradio
 sdk_version: 3.1.4
 app_file: app.py

app.ipynb

@@ -0,0 +1,19 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app.py

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+from fastai.vision.all import *
+import gradio as gr
+
+learn = load_learner('ice_cream.pkl')
+
+categories = learn.dls.vocab
+def classify_image(img):
+    pred,idx,probs = learn.predict(img)
+    return(dict(zip(categories, map(float,probs))))
+
+    image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+examples = ['berry.jpg', 'chocolate.jpg', 'mint_choc.jpg', 'vanilla_soft.jpg']
+
+intf = gr.Interface(fn=classify_image, inputs=image, outputs=label, examples=examples)
+intf.launch(inline=False)

ice_cream_flavors.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d07cde5041af81946db2dc305d4da5645323d62917c194e9999bc067da7abc44
+size 46976747

requirements.txt

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+fastai