| import gradio | |
| import cv2 | |
| #def inference(img, in_bright): | |
| # new_img = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY) | |
| # in_bright=1 | |
| # return new_img | |
| #iface = gradio.Interface( | |
| # fn=inference, | |
| # inputs=['image',gradio.Slider(0,100)], | |
| # outputs='image', | |
| # title='Change Image', | |
| # description='Interface!', | |
| # examples=["llama.jpg"]) | |
| #iface.launch() | |
| import gradio as gr | |
| def greet(image, name, is_morning, temperature): | |
| salutation = "Good morning" if is_morning else "Good evening" | |
| greeting = f"{salutation} {name}. It is {temperature} degrees today" | |
| celsius = (temperature - 32) * 5 / 9 | |
| return greeting, round(celsius, 2) | |
| demo = gr.Interface( | |
| fn=greet, | |
| inputs=['image',"text", "checkbox", gr.Slider(0, 100)], | |
| outputs=['image',"text", "number"], | |
| ) | |
| demo.launch() | |