let's deploy to huggingface spaces

app.py

@@ -1,7 +1,39 @@
+# -*- coding: utf-8 -*-
+"""car_year_finder_p2.ipynb
+
+Automatically generated by Colaboratory.
+
+Original file is located at
+    https://colab.research.google.com/drive/1O0_3A82axlMsWaCiXpSv2cM0frscKrsB
+"""
+
+#!pip install -Uqq fastai
+#!pip install -Uqq gradio
+
+from fastai.vision.all import *
+from fastai.vision.widgets import *
 import gradio as gr
 
-def greet(name):
-    return "Hello " + name + "!!"
+#learn = load_learner(Path('/content/drive/MyDrive/AI_Models')/'car_year_finder1.pkl')
+#im = PILImage.create('/content/drive/MyDrive/tesla.png')
+#im.thumbnail((192,192))
+#learn.predict(im)
+
+categories = ('before 1960','from 1970 to 1980','from 1990 to 2000', 'from 2020')
+learn = load_learner('car_year_finder1.pkl')
+def classify_image(img):
+  pred, idx, probs = learn.predict(img)
+  return dict(zip(categories,map(float,probs)))
+
+#classify_image(im)
+
+image = gr.inputs.Image(shape=(192,192))
+label = gr.outputs.Label()
+#examples = ['tesla.png','model_t.jpg']
+intf=gr.Interface(fn=classify_image, inputs=image, outputs=label)
+intf.launch()
+
+
+
+
 
-iface = gr.Interface(fn=greet, inputs="text", outputs="text")
-iface.launch()