Update app.py

app.py

@@ -1,4 +1,26 @@
 import streamlit as st
+from transformers import T5ForTranslation, T5Tokenizer
 
-x = st.slider('Select a value')
-st.write(x, 'squared is', x * x)
+# Load the pre-trained model and tokenizer
+model = T5ForTranslation.from_pretrained("Helsinki-NLP/opus-mt-en-ro")
+tokenizer = T5Tokenizer.from_pretrained("Helsinki-NLP/opus-mt-en-ro")
+
+# Create the app layout
+st.title("Text Translation App")
+text_input = st.text_input("Enter text to translate:")
+submit_button = st.button("Translate")
+translated_text = st.text("")
+
+# Handle the submit button click
+if submit_button:
+    # Encode the input text
+    encoded = tokenizer(text_input, return_tensors="pt")
+
+    # Perform translation
+    translated = model.generate(**encoded)
+
+    # Decode the translated text
+    translated_text = tokenizer.batch_decode(translated, skip_special_tokens=True)
+
+    # Display the translated text
+    st.write("Translated Text:", translated_text[0])