Create app.py

app.py

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+import streamlit as st
+from transformers import MarianMTModel, MarianTokenizer
+
+# Load the pre-trained MarianMT model and tokenizer
+model_name = "Helsinki-NLP/opus-mt-en-ROMANCE"
+model = MarianMTModel.from_pretrained(model_name)
+tokenizer = MarianTokenizer.from_pretrained(model_name)
+
+def translate_text(text, target_lang):
+    # Translate English to the target language
+    inputs = tokenizer.encode(text, return_tensors="pt")
+    translated = model.generate(inputs, decoder_start_token_id=tokenizer.lang_code_to_id[target_lang])
+    translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
+    return translated_text
+def main():
+    st.title("English to Any Language Translator")
+
+    # User input for English text
+    text_to_translate = st.text_area("Enter text in English:")
+
+    # Language options
+    languages = {
+        'French': 'fr',
+        'German': 'de',
+        'Italian': 'it',
+        'Portuguese': 'pt',
+        'Spanish': 'es',
+        # Add more languages if needed
+    }
+
+    selected_language = st.selectbox("Select target language:", list(languages.keys()))
+
+    if st.button("Translate"):
+        if text_to_translate:
+            target_lang = languages[selected_language]
+            translated_text = translate_text(text_to_translate, target_lang)
+            st.write(f"**Translation in {selected_language}:**")
+            st.write(translated_text)
+        else:
+            st.warning("Please enter text to translate.")
+
+if __name__ == "__main__":
+    main()