Delete app.py

app.py

@@ -1,18 +0,0 @@
-import tensorflow as tf
-import gradio as gr
-
-model = tf.keras.models.load_model('hate_speech.h5')
-
-def score_comment(comment):
-    vectorized_comment = vectorizer([comment])
-    results = model.predict(vectorized_comment)
-    
-    for idx, col in enumerate(df.columns[2:]):
-        if results[0][idx]>0.5:
-            return 'Hate Speech detected'
-        
-    return 'No hate speech detected'
-
-interface = gr.Interface(fn=score_comment,
-                        inputs=gr.Textbox(lines=2, placeholder='Comment to score'),
-                        outputs='text')