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import gradio as gr | |
import PIL.Image as Image | |
def process_image(image): | |
return "English text","Yoruba text", "Swahili text", "Twi text" | |
app = gr.Interface( | |
fn=process_image, | |
inputs = gr.Image(type="pil", label="Upload an Image"), | |
outputs = [ | |
gr.Text(label="English: "), | |
gr.Text(label="Yoruba: "), | |
gr.Text(label="Swahili: "), | |
gr.Text(label="Twi: "), | |
], | |
title="Nutri Assistant App", | |
description="This app generates text for a given image related to nutrition in three low-resource languages", | |
examples =[["spaghetti.png"], | |
["cake.png"]], | |
) | |
if __name__ == "__main__": | |
app.launch() | |