Uploaded colab version of app

app.py

@@ -0,0 +1,46 @@
+# -*- coding: utf-8 -*-
+"""Biome_Classifier_4.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/18IX5V6Qgf-WhhfFRvT9KZZXu5_dCs4pT
+"""
+
+from google.colab import drive
+drive.mount('/content/drive')
+
+# Commented out IPython magic to ensure Python compatibility.
+# #hide
+# %%capture
+# ! [ -e /content ] && pip install -Uqq fastbook
+# ! pip install gradio==3.50
+# ! pip install nbdev
+# 
+# import fastbook
+# fastbook.setup_book
+
+#hide
+from fastbook import *
+from fastai.vision.widgets import *
+import skimage
+
+gpath = '/content/drive/MyDrive/'
+learn = load_learner(gpath +'/BiomeClassifierModel.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))}
+
+import gradio as gr
+title = "Biome Classifier"
+description = "World's first biome classifier powered by Artificial Intelligence<br>This neural network analyzes any nature photo and identifies what type of biome it depicts<br>Feel free to upload your own photo or try some examples below<br>Written by David Willis"
+article="<p style='text-align: center'><a href='www.linkedin.com/in/david-willis-dev' target='_blank'>LinkedIn Profile,/a.</p>"
+examples= [gpath + 'forest.jpeg', gpath + 'aquatic.jpeg', gpath + 'desert.jpg', gpath + 'grassland.jpg', gpath + 'tundra.jpeg']
+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=True)
+