app.py

from PIL import ImageFilter, Image
from easyocr import Reader
import gradio as gr
import numpy as np
import openai
import ast
from transformers import pipeline
import os

from openai_api import OpenAI_API
import utils

openai.api_key = os.getenv("API_KEY")
reader = Reader(["tr"])


def get_text(input_img):
    img = Image.fromarray(input_img)
    detailed = np.asarray(img.filter(ImageFilter.DETAIL))
    result = reader.readtext(detailed, detail=0, paragraph=True)
    return " ".join(result)


# Submit button
def get_parsed_address(input_img):

    address_full_text = get_text(input_img)
    return ner_response(address_full_text)


def save_deta_db(input):
    eval_result = ast.literal_eval(input)
    utils.write_db(eval_result)
    return


def update_component():
    return gr.update(value="Gönderildi, teşekkürler.", visible=True)


def clear_textbox(value):
    return gr.update(value="")


def text_dict(input):
    eval_result = ast.literal_eval(input)
    return (
        str(eval_result["il"]),
        str(eval_result["ilce"]),
        str(eval_result["mahalle"]),
        str(eval_result["sokak"]),
        str(eval_result["Apartman/site"]),
        str(eval_result["no"]),
        str(eval_result["ad-soyad"]),
        str(eval_result["dis kapi no"]),
    )


def ner_response(ocr_input):

    ner_pipe = pipeline("token-classification","deprem-ml/deprem-ner", aggregation_strategy="first")
    predictions = ner_pipe(ocr_input)
    resp = {}

    for item in predictions:
        print(item)
        key = item["entity_group"]
        resp[key] = item["word"]
    
    resp["input"] = ocr_input
    dict_keys = ["il", "ilce", "mahalle", "sokak", "Apartman/site", "no", "ad-soyad", "dis kapi no"]
    for key in dict_keys:
        if key not in resp.keys():
            resp[key] = ""
    return resp


# User Interface
with gr.Blocks() as demo:
    gr.Markdown(
        """
    # Enkaz Bildirme Uygulaması
    """
    )
    gr.Markdown(
        "Bu uygulamada ekran görüntüsü sürükleyip bırakarak AFAD'a enkaz bildirimi yapabilirsiniz. Mesajı metin olarak da girebilirsiniz, tam adresi ayrıştırıp döndürür. API olarak kullanmak isterseniz sayfanın en altında use via api'ya tıklayın."
    )
    with gr.Row():
        with gr.Column():
            img_area = gr.Image(label="Ekran Görüntüsü yükleyin 👇")
            img_area_button = gr.Button(value="Görüntüyü İşle", label="Submit")

        with gr.Column():
            text_area = gr.Textbox(label="Metin yükleyin 👇 ", lines=8)
            text_area_button = gr.Button(value="Metni Yükle", label="Submit")

    open_api_text = gr.Textbox(label="Tam Adres")

    with gr.Column():
        with gr.Row():
            il = gr.Textbox(label="İl", interactive=True, show_progress=False)
            ilce = gr.Textbox(label="İlçe", interactive=True, show_progress=False)
        with gr.Row():
            mahalle = gr.Textbox(
                label="Mahalle", interactive=True, show_progress=False
            )
            sokak = gr.Textbox(
                label="Sokak/Cadde/Bulvar", interactive=True, show_progress=False
            )
        with gr.Row():
            no = gr.Textbox(label="Telefon", interactive=True, show_progress=False)
        with gr.Row():
            ad_soyad = gr.Textbox(
                label="İsim Soyisim", interactive=True, show_progress=False
            )
            apartman = gr.Textbox(label="apartman", interactive=True, show_progress=False)
        with gr.Row():
            dis_kapi_no = gr.Textbox(label="Kapı No", interactive=True, show_progress=False)

    img_area_button.click(
        get_parsed_address,
        inputs=img_area,
        outputs=open_api_text,
        api_name="upload-image",
    )

    text_area_button.click(
        ner_response, text_area, open_api_text, api_name="upload-text"
    )


    open_api_text.change(
        text_dict,
        open_api_text,
        [il, ilce, mahalle, sokak, no, apartman, ad_soyad, dis_kapi_no],
    )
    ocr_button = gr.Button(value="Sadece OCR kullan")
    ocr_button.click(
        get_text,
        inputs=img_area,
        outputs=text_area,
        api_name="get-ocr-output",
    )
    submit_button = gr.Button(value="Veriyi Birimlere Yolla")
    submit_button.click(save_deta_db, open_api_text)
    done_text = gr.Textbox(label="Done", value="Not Done", visible=False)
    submit_button.click(update_component, outputs=done_text)
    for txt in [il, ilce, mahalle, sokak, apartman, no, ad_soyad, dis_kapi_no]:
        submit_button.click(fn=clear_textbox, inputs=txt, outputs=txt)


if __name__ == "__main__":
    demo.launch()