Update app.py

app.py

@@ -1,41 +1,3 @@
-import gradio as gr
-import joblib
-
-model = joblib.load('arabic_text_classifier.pkl')
-vectorizer = joblib.load('tfidf_vectorizer.pkl')
-label_encoder = joblib.load('label_encoder.pkl')
-
-def predict_category(text):
-    text_vector = vectorizer.transform([text])
-    probabilities = model.predict_proba(text_vector)[0]
-    max_prob = max(probabilities)
-    predicted_category = model.predict(text_vector)[0]
-
-    
-    if max_prob < 0.5:
-        return "Other"  
-
-    
-    predicted_label = label_encoder.inverse_transform([predicted_category])[0]
-    return predicted_label
-
-
-iface = gr.Interface(
-    fn=predict_category,
-    inputs=gr.Textbox(
-        lines=5, 
-        placeholder="Enter text in Arabic here...", 
-        label="Text"  
-    ),
-    outputs=gr.Label(label="Predicted Category"),  
-    title="Arabic Text Classification", 
-    description="Enter an Arabic text to get its classification based on the trained model.", 
-)
-
-
-iface.launch(share=True)
-
-
 import gradio as gr
 import joblib
 import os