Upload 2 files

app.py

@@ -0,0 +1,72 @@
+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
+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()

requirements.txt

@@ -0,0 +1 @@
+requests==2.28.2