app.py

import trackio
import gradio as gr
from hezar.models import Model
import trackio
# Load your model
crnn = Model.load("hezarai/crnn-base-fa-v2")

# Define prediction function
def ocr_predict(image):
    texts = crnn.predict([image])
    return "\n".join(texts)

# Create Gradio interface
iface = gr.Interface(
    fn=ocr_predict,
    inputs=gr.Image(type="filepath"),  # Accepts uploaded images
    outputs=gr.Textbox(label="Detected Text"),
    title="Farsi OCR",
    description="Upload an image and extract Farsi text using CRNN."
)

# Launch the app
if __name__ == "__main__":
    iface.launch()
trackio.show()