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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() | |