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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']
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
adanaya gidekmi
'''
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() |