import numpy as np
import json
import gradio as gr
import easyocr


def index(image_url):
    reader = easyocr.Reader(['en'])
    result = reader.readtext(image_url)

    texts = []
    # probs = []

    for (bbox, text, prob) in result:
        # print(f'Text: {text}, Probability: {prob}')
        texts.append(text)
        # probs.append(prob)

    output_dict = {"texts": texts}
    output_json = json.dumps(output_dict) 

    return output_json

inputs_image_url = [
    gr.Textbox(type="text", label="Image URL"),
]

outputs_result_json = [
    gr.Textbox(type="text", label="Result JSON"),
]

interface_image_url = gr.Interface(
    fn=index,
    inputs=inputs_image_url,
    outputs=outputs_result_json,
    title="Text Extraction",
    cache_examples=False,
).queue().launch()