my model

.gitignore

@@ -0,0 +1 @@
+testing.ipynb

.ipynb_checkpoints/testing-checkpoint.ipynb

@@ -0,0 +1,20 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "from fastai.vision.all import *"
+   ]
+  }
+ ],
+ "metadata": {
+  "language_info": {
+   "name": "python"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}

app.py

@@ -1,7 +1,22 @@
+# import gradio as gr
+
+# def greet(name):
+#     return "Hello " + name + "!!"
+
+# iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+# iface.launch()
+
 import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner("topmountainsmodel.pkl")
 
-def greet(name):
-    return "Hello " + name + "!!"
+def predict(img):
+    img = PILImage.create(img)
+    mt_type,_,probs = learn.predict(img)
+    return mt_type
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()
+iface = gr.Interface(fn=predict, inputs="image", outputs="label")
+iface.launch()
+    

requirements.txt

@@ -0,0 +1,3 @@
+fastai
+scikit-image
+gradio

topmountainsmodel.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:4f22271bee6c340cb62b1d99399181b7c425f1a02cf7d3ad3594048dd794ee26
+size 47004333