nutri2assistant / app.py
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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()