add trailing files

.ipynb_checkpoints/README-checkpoint.md

@@ -0,0 +1,13 @@
+---
+title: Digit_classifier
+emoji: 🦀
+colorFrom: pink
+colorTo: pink
+sdk: gradio
+sdk_version: 2.9.4
+app_file: app.py
+pinned: false
+license: apache-2.0
+---
+
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces#reference

.ipynb_checkpoints/app-checkpoint.py

@@ -0,0 +1,21 @@
+import gradio as gr
+from fastai.vision.all import *
+import skimage
+
+learn = load_learner('model.pkl')
+
+categories = ('0', '1', '2', '3', '4', '5', '6', '7', '8', '9')
+
+def classify_image(img):
+  pred,idx,probs = learn.predict(img)
+  return dict(zip(categories, map(float,probs)))
+
+image = gr.inputs.Image(shape=(100,100))
+label = gr.outputs.Label()
+title = "Sign Language Digit Classifier"
+description = "A sign language digit classifier trained on a Kaggle dataset with fast.ai. Click on an example (6, 7, and 8) or upload an image and let the model classify it for you!"
+interpretation='default'
+examples= ['3.JPG', '7.JPG', '8.JPG']
+enable_queue=True
+
+gr.Interface(fn=classify_image,inputs=gr.inputs.Image(shape=(100, 100)),outputs=gr.outputs.Label(num_top_classes=3),title=title,description=description,examples=examples).launch()