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# MyFirst Gradio Application | |
import gradio as gr | |
import numpy as np | |
def hello_world(name): | |
return "Hello ....."+name+"!!!!" | |
def sepia(input_img): | |
sepia_filter = np.array([[.393, .769, .189], | |
[.349, .686, .168], | |
[.272, .534, .131]]) | |
sepia_img = input_img.dot(sepia_filter.T) | |
sepia_img /= sepia_img.max() | |
return sepia_img | |
hello_world("Lets Create a Sepia Filter for your uploaded image ") | |
#Interface Option 1 - single line text entry | |
#interface = gr.Interface(fn = hello_world,inputs = 'text', outputs = 'text') | |
#Interface Option 2 - multiline text entry | |
#interface = gr.Interface(fn = hello_world,inputs = gr.inputs.Textbox(lines=5,placeholder="Enter your mission statement here"), outputs = 'text') | |
#Interface Option 3 - convert image to sepia | |
interface = gr.Interface(sepia, gr.inputs.Image(shape=(200,200)), "image") | |
#Launch Interface | |
interface.launch() | |