Update app.py

app.py

@@ -1,13 +1,22 @@
 # prompt: write a streamlit app that converts english text into french text when translate button is pressed. The title of page should be "Translate to French"."
-import streamlit as st
-from transformers import pipeline
-import sentencepiece
+from transformers import M2M100ForConditionalGeneration, M2M100Tokenizer
 
 st.title("Translate to French")
-sentence = st.text_input("Enter your sentence:")
+
+input_text = st.text_input("Enter text to translate")
 
 if st.button("Translate"):
-    pipe = pipeline(model="facebook/m2m100_418M")
-    translation = pipe(sentence, target_lang="fr")[0]["translation_text"]
-    st.write(translation)
+    # Load the pre-trained model and tokenizer
+    model_name = "facebook/m2m100_418M"
+    model = M2M100ForConditionalGeneration.from_pretrained(model_name)
+    tokenizer = M2M100Tokenizer.from_pretrained(model_name)
+
+    # Tokenize input text
+    input_ids = tokenizer.encode(input_text, return_tensors="pt")
 
+    # Generate translation
+    translated_ids = model.generate(input_ids, target_language="fr")
+
+    # Decode and display the translated text
+    translation = tokenizer.decode(translated_ids[0], skip_special_tokens=True)
+    st.write(translation)