| import gradio as gr | |
| import numpy as np | |
| from pathlib import Path | |
| EXAMPLES_PATH = Path('./examples') | |
| title = "Ethiopian Foods" | |
| description = """ | |
| The bot was trained to answer questions based on Rick and Morty dialogues. Ask Rick anything! | |
| """ | |
| article = "Check out [the original Rick and Morty Bot](https://huggingface.co/spaces/kingabzpro/Rick_and_Morty_Bot) that this demo is based off of." | |
| def sepia(input_img): | |
| sepia_filter = np.array( | |
| [[0.393, 0.769, 0.189], [0.349, 0.686, 0.168], [0.272, 0.534, 0.131]] | |
| ) | |
| sepia_img = input_img.dot(sepia_filter.T) | |
| sepia_img /= sepia_img.max() | |
| return sepia_img | |
| examples = [f'{EXAMPLES_PATH}/{f.name}' for f in EXAMPLES_PATH.iterdir()] | |
| demo = gr.Interface(sepia, | |
| "image", | |
| "image", | |
| examples= examples, | |
| title=title, | |
| description=description, | |
| article=article) | |
| demo.launch() |