Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+
+pipeline = pipeline(task="translation", model="guymorlan/DialectTransliterator")
+
+st.title("Phonetic transliteration for Palestinian Madani arabic")
+
+num_translations = st.sidebar.selectbox("Number of Translations:", [1, 2, 3, 4, 5], index=0)
+input_text = st.text_input("Enter Arabic text:")
+
+if input_text:
+    result = pipeline(input_text, max_length=1024, num_return_sequences=num_translations, num_beams=max(num_translations, 5))
+    st.markdown("<div style='font-size:24px;'>", unsafe_allow_html=True)
+    outs = list(set([x["translation_text"] for x in result]))
+    for i in range(len(outs)):
+        st.markdown(f"{outs[i]}", unsafe_allow_html=True)
+        st.markdown("<br>", unsafe_allow_html=True)
+    st.markdown("</div>", unsafe_allow_html=True)