Create app.py

app.py

@@ -0,0 +1,61 @@
+import pandas as pd
+import numpy as np
+import tensorflow as tf
+import string
+import re
+import gradio as gr
+
+tr_stop_words = pd.read_csv("tr-stop-words.txt",header=None)
+
+@tf.keras.utils.register_keras_serializable()
+def standart_custom(input_text):
+    lower = tf.strings.lower(input_text, encoding='utf-8') 
+    no_stars = tf.strings.regex_replace(lower, "\*", " ")
+    stripped_html = tf.strings.regex_replace(no_stars, "<br />", "") 
+    no_numbers = tf.strings.regex_replace(stripped_html, "\w*\d\w*","") 
+    no_punctuation = tf.strings.regex_replace(no_numbers,'[%s]' % re.escape(string.punctuation),'') 
+    #remove stopwords
+    no_stop_words =' '+no_punctuation+ ' '
+    for each in tr_stop_words.values:
+        no_stop_words = tf.strings.regex_replace(no_stop_words, ' '+each[0]+' ', r" ")
+    no_space = tf.strings.regex_replace(no_stop_words, " +", " ")
+    no_turkish_character = tf.strings.regex_replace(no_space, "ç", "c") 
+    no_turkish_character = tf.strings.regex_replace(no_turkish_character, "ğ", "g")
+    no_turkish_character = tf.strings.regex_replace(no_turkish_character, "ı", "i")
+    no_turkish_character = tf.strings.regex_replace(no_turkish_character, "ö", "o")
+    no_turkish_character = tf.strings.regex_replace(no_turkish_character, "ş", "s")
+    no_turkish_character = tf.strings.regex_replace(no_turkish_character, "ü", "u")
+    return no_turkish_character   
+
+loaded_end_to_end_model = tf.keras.models.load_model("end_to_end_model")
+
+def gradio_comment(comment):
+    
+   
+    result = loaded_end_to_end_model.predict([comment])
+    result  = np.round(result,1)
+    result = (result > 0.5).astype(int)
+    if result[0][0] == 1:
+
+      if result[0][1] == 1:
+        text = "OFFENSİVE/INSULT"
+      elif result[0][3] == 1:
+        text = 'OFFENSİVE/SEXIST'
+      elif result[0][4] == 1:
+        text = 'OFFENSİVE/RACIST'
+      elif result[0][5] == 1:
+        text = 'OFFENSİVE/PROFANITY'
+    else:
+      text = "NOT OFFENSİVE/OTHER"
+    
+
+    return text
+
+GradioGUI = gr.Interface(
+    fn=gradio_comment,
+    inputs='text',
+    outputs='text',
+    title='Aşağılayıcı Yorum Tespiti',
+    css='''span{text-transform: uppercase} p{text-align: center}''')
+
+GradioGUI.launch()