import requests import json import gradio as gr import pandas as pd import os url = os.environ['typo_url'] api_key = os.environ['api_key'] print(url) def request_service(text,words): words = words.split("\n") results = [] texts = [] for t in text.split("\n")[:20]: if len(t.strip())>2: texts.append(t) payload={"text":t ,"special_words": words} headers = { 'x-api-key': api_key, 'Content-Type': 'application/json' } response = requests.request("POST", url, headers=headers, data=json.dumps(payload)) results.append(json.loads(response.text)['result'].replace('ü','ü').replace('ı','ı').replace('ÅŸ','ş').replace('ö','ö').replace('ç','ç').replace('ÄŸ','ğ')) return pd.DataFrame({'Result':results,'Sentence':texts}) import gradio as gr def clear_text(text): return '',pd.DataFrame() default_str ='''bircümlebitişikdahiolsabucümleyiayırabiliyoruz yazim hatalarini da duzeltebiliyorz ssl hrf lms d dzltblyrz ''' special_word_list ='''artificial nlp ''' css = """.gradio-container {background-color: #DBDEDF } #clearbtn {background-color: red} #submitbtn {background-color: green} #logbtn {background-color: blue} #header {color:#973410; font-size: 30px;font-weight: bold; } footer {visibility: hidden} #textbox {color:white} #texts {color:3E5E69;font-size: 15px;font-weight: bold; } #results {color:3E5E69;font-size: 20px;font-weight: bold; } label:{font-size:30px}""" with gr.Blocks(title="Typo Correction",css=css) as demo: gr.Markdown('Turkish Typo Correction',elem_id ='header') gr.Markdown("""* You can enter your misspelled sentences in the Sentences section. * In the Special Words section, you can enter your special words that you do not want the model to correct. """,elem_id ='texts') with gr.Column(): sentences = gr.Textbox(label="Sentences",lines = 8,value=default_str,elem_id='textbox') special_words = gr.Textbox(label="Special Words",lines = 2,value=special_word_list,elem_id='textbox') #output = gr.Textbox(label="Results",lines = 10,elem_id='textbox') correct_btn = gr.Button("Correct Typos",elem_id = 'submitbtn') clear_btn = gr.Button("Reset",elem_id="clearbtn") gr.Markdown('RESULTS',elem_id ='results') output = gr.Dataframe() correct_btn.click(fn=request_service, inputs=[sentences,special_words], outputs=output) clear_btn.click(fn=clear_text,inputs=special_words,outputs=[sentences,output]) demo.launch()