Add initial files

app.py

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+import transformers
+import streamlit as st
+from transformers import AutoTokenizer, AutoModelForSeq2SeqLM, pipeline
+
+
+st.title("English-Vietnamese Text Translator")
+st.write("A simple interface to translate from English to Vietnamese, and vice versa.")
+
+model = AutoModelForSeq2SeqLM.from_pretrained("facebook/nllb-200-distilled-600M")
+tokenizer = AutoTokenizer.from_pretrained("facebook/nllb-200-distilled-600M")
+
+default_value = "UN Chief says there is no military solution in Syria"
+sent = st.text_area("Input Your Text Here", default_value, height = 275)
+src_lang_selection = st.radio(
+    "Select Your Source Language:",
+    ('English', 'Vietnamese'))
+
+if src_lang_selection == "English":
+    src_lang = "eng_Latn"
+    tgt_lang = "vie_Latn"
+else:
+    src_lang = "vie_Latn"
+    tgt_lang = "eng_Latn"
+
+if st.button("Run"):
+    with st.spinner("Working Hard..."):
+        translator = pipeline('translation', model=model, tokenizer=tokenizer, src_lang=src_lang, tgt_lang=tgt_lang)
+        trans_text = translator(sent)
+        st.write(trans_text)
+    st.success("Done!")
+
+st.write("For feedback/requests, write to mel.nguyen273@gmail.com.")

requirements.txt

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+transformers
+streamlit
+torch