from product_update_validator import Update_Validator
import gradio as gr

update_validator = Update_Validator(text_model="DistilRoBERTa-v1", image_model="CLIP-ViT Base", threshold=0.75)

def gradio_interface(text1, image1, text2, image2, threshold=0.75):
    out = update_validator.validate(text1=text1, image1=image1, text2=text2, image2=image2, threshold=threshold, return_score=True)
    return out['score'], label['label']

inputs = [
    gr.inputs.Textbox(lines=5, label="Description 1"),
    gr.inputs.Image(label="Image 1"),
    gr.inputs.Textbox(lines=5, label="Description 2"),
    gr.inputs.Image(label="Image 2"),
    gr.inputs.Slider(minimum=0, maximum=1, default=0.75, step=0.01, label="Similarity Threshold")
]

outputs = [
    gr.outputs.Textbox(label="Similarity Score"),
    gr.outputs.Textbox(label="Update Label")
]

iface = gr.Interface(fn=gradio_interface, inputs=inputs, outputs=outputs, title="Product Update Validator")
iface.launch()