cleanup and adding examples

app.py

@@ -1,5 +1,6 @@
 import gradio as gr
 from fastai.vision.all import *
+import scikit-image
 
 learn = load_learner('model.pkl')
 
@@ -8,6 +9,10 @@ def predict(img):
     return round(learn.predict(img)[0][0])
 
 title = "Number of characters in a single line image"
+description = "Counts the number of characters including special characters in a text present in image. This is a precursor to building a different kind of OCR(experimental approach) with CNN + RNN."
+examples = ["1.png", "2.png", "3.png", "4.png"]
+interpretation = 'default'
+enable_queue = True
 
-gr.Interface(fn=predict, inputs=gr.inputs.Image(), outputs=gr.outputs.Textbox(label='Predicted Score'), live=True).launch()
+gr.Interface(fn=predict, inputs=gr.inputs.Image(), outputs=gr.outputs.Textbox(label='Predicted Score'),title=title, description=description, examples=examples,interpretation=interpretation, enable_queue=enable_queue, live=True).launch()