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