Create app.py

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from transformers import AutoModelForSeq2SeqLM, AutoTokenizer
+
+def main():
+    st.title("Translation App")
+
+    # Load model and tokenizer
+    model_name = "facebook/mbart-large-50-one-to-many-mmt"
+    model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
+    tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+    # Input text area
+    input_text = st.text_area("Enter text to translate", "")
+
+    if st.button("Translate"):
+        # Perform translation
+        translated_text = translate_text(input_text, model, tokenizer)
+
+        # Display translated text
+        st.write("Translated Text:")
+        st.write(translated_text)
+
+def translate_text(input_text, model, tokenizer):
+    # Tokenize input text
+    input_ids = tokenizer(input_text, return_tensors="pt").input_ids
+
+    # Generate translation
+    translated_ids = model.generate(input_ids)
+
+    # Decode translated text
+    translated_text = tokenizer.decode(translated_ids[0], skip_special_tokens=True)
+
+    return translated_text
+
+if __name__ == '__main__':
+    main()