done

app.py

@@ -0,0 +1,75 @@
+from fastai.vision.all import *
+import gradio as gr
+import pathlib
+import os
+import platform
+
+# The below is for testing your app.py on a Windows laptop e.g. Visual Studio Code 
+print(platform.system())
+if platform.system() == 'Windows':
+  # NotImplementedError: cannot instantiate 'PosixPath' on your system
+  # workaround for Windows where path seperator is '/'. Linux is '\'.
+  posix_backup = pathlib.PosixPath # remember the original path thingy
+  try:
+      pathlib.PosixPath = pathlib.WindowsPath # change to Windows
+      path = Path() # get current path in your runtime environment e.g. laptop, Colab, HuggingFace, Kaggle
+      learn = load_learner(path/'export.pkl')
+  finally: # when program is finished, switch back to original path thingy
+      pathlib.PosixPath = posix_backup
+else: # Darwin aka MacOS, Linux, etc...
+  path = Path()
+  learn = load_learner(path/'export.pkl')
+
+# Not needed, since we don't return a dict below
+# same as bear_types = ['grizzly','black','teddy']
+# bear_types = learn.dls.vocab
+# categories = bear_types
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  prob = float(probs[idx]) * 100
+  return f"This is a {pred}.\n Confidence Level : {prob:.4f}%"
+  # return dict(zip(categories, map(float,probs))) # not really needed here
+
+# Define example images
+# These must be local images in your repository.
+# URLs to images don't seem to work well ?
+# Image source: Wikipedia
+examples = ['images/chicken.jpg',
+            'images/dog.jpg',
+            'images/fish.jpg']
+
+# Define input component for image upload
+image_input = gr.Image()
+
+# Define output component for displaying text
+text_output = gr.Textbox(type="text", label="Output")
+
+# Define Gradio Interface
+iface = gr.Interface(
+    fn=classify_image, # the function we defined above
+    inputs=image_input,
+    outputs=text_output,
+    # live=True means you click on any element
+    # and all other elements update immediately. 
+    # Therefore, there is no Submit button needed anymore.
+    # Works fine, but may break Clear button, 
+    # since there is no image uploaded yet to predict -> Error
+    # AssertionError: Expected an input
+    # live=False will give you a Submit button.
+    live=True, 
+    examples=examples
+)
+
+# Run the interface
+# To create a public link, set `share=True` in `launch()`.
+# iface.launch(share=True)
+
+# Note: share is for notebooks
+# When deploying to HuggingFace leave it out, or else -> Error ?
+iface.launch()
+
+# Use CTRL-C to stop server in Visual Studio Code 
+
+# ^CKeyboard interruption in main thread... closing server.                                         
+# Killing tunnel 127.0.0.1:7860 <> https://6479f1bbea54b008f.gradio.live

export.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8323e255ec239fd5b12295f07a800012b31d691ffafe76118b2cf6b167cafb75
+size 46968015

requirements.txt

@@ -0,0 +1 @@
+fastai