import gradio as gr

def recognize_digit(img):
    # ... implement digit recognition model on input array 
    # ... return dictionary of labels and confidences 

gr.Interface(fn=recognize_digit, inputs="sketchpad", outputs="label").launch()

import gradio as gr

def answer_question(paragraph, question):
    # ... implement Q&A model
    # ... return answer to question

gr.Interface(fn=answer_question, inputs=["textbox", "text"], outputs="text").launch()

import gradio as gr

def face_segmentation(img):
    # ... implement face segmentation model on input 200x200 numpy array
    # ... return segmentation mask as numpy array

webcam = gr.in.Webcam(shape=(200, 200))
gr.Interface(fn=face_segmentation, inputs=webcam, outputs="image").launch()

import gradio as gr, matplotlib.pyplot as plt

def outbreak_forecast(r, month, countries, social_distancing):
    # ... run model to forecast outbreak and generate plots
    # ... return plt

r = gr.in.Slider(1, 5)
month = gr.in.Dropdown(["May", "June", "July"])
countries = gr.in.CheckboxGroup(["USA", "Canada", "Mexico", "UK"])

gr.Interface(fn=outbreak_forecast, 
    inputs=[r, month, countries, "checkbox"], outputs="plot").launch()