Update app.py

app.py

@@ -79,32 +79,24 @@ def prepare_text(text):
 
 
 
+import streamlit as st
 from transformers import pipeline
 
 # Load the model using the Hugging Face model hub
 model = pipeline("text-classification", model="Alshargi/arabic-msa-dialects-segmentation")
 
-
-
 # Slider to select a value
-x = st.slider('Select a value')
-
-
-themaxres = x 
-dd = x.replace("،", "")
-dd = dd.replace("؟", "")
-
-gg = word_tokenize(dd)  
-result = model([features(gg, index) for index in range(len(gg))])
-
-
-cc = ""
-for x, y in zip(gg, result):
-    cc += rebuildxx(x, y) + " "
+x = st.text_input('Enter a text')
 
+# Check if text input is not empty
+if x:
+    # Make prediction using the loaded model
+    result = model(x)
 
-# Display the prediction
-st.write("Prediction:", cc)
+    # Display the prediction
+    st.write("Prediction:", result)
+else:
+    st.write("Please enter some text.")