Create app.py

app.py

@@ -0,0 +1,42 @@
+import streamlit as st
+from transformers import MarianMTModel, MarianTokenizer
+
+# Define language options
+LANGUAGES = {
+    "Spanish": "es",
+    "French": "fr",
+    "German": "de",
+    "Italian": "it",
+    "Portuguese": "pt",
+}
+
+# Load translation model and tokenizer
+model_name = "Helsinki-NLP/opus-mt-en-ROMANCE"
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+model = MarianMTModel.from_pretrained(model_name)
+
+def translate_text(text, target_language):
+    # Prepare the text for the model
+    translated = tokenizer(text, return_tensors="pt", padding=True, truncation=True)
+    # Perform the translation
+    translated = model.generate(**translated, forced_bos_token_id=tokenizer.lang_code_to_id[target_language])
+    # Decode and return the translation
+    translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
+    return translated_text
+
+# Streamlit app
+st.title("Language Translator")
+
+# User input
+text_to_translate = st.text_area("Enter text in English:", "")
+selected_language = st.selectbox("Select target language:", list(LANGUAGES.keys()))
+
+if st.button("Translate"):
+    if text_to_translate:
+        target_language = LANGUAGES[selected_language]
+        translated_text = translate_text(text_to_translate, target_language)
+        st.write(f"Translated text ({selected_language}):")
+        st.write(translated_text)
+    else:
+        st.warning("Please enter text to translate.")
+