Delete app.py

app.py

@@ -1,44 +0,0 @@
-import streamlit as st
-from transformers import MarianMTModel, MarianTokenizer
-
-# Define supported language pairs (source-target)
-LANGUAGES = {
-    "en": "English",
-    "fr": "French",
-    "de": "German",
-    "es": "Spanish",
-    "it": "Italian",
-    "pt": "Portuguese",
-    "ru": "Russian",
-    "zh": "Chinese",
-}
-
-def get_model_and_tokenizer(src_lang: str, tgt_lang: str):
-    model_name = f"Helsinki-NLP/opus-mt-{src_lang}-{tgt_lang}"
-    model = MarianMTModel.from_pretrained(model_name)
-    tokenizer = MarianTokenizer.from_pretrained(model_name)
-    return model, tokenizer
-
-def translate_text(text: str, source_lang: str, target_lang: str):
-    model, tokenizer = get_model_and_tokenizer(source_lang, target_lang)
-    translated = model.generate(**tokenizer(text, return_tensors="pt", padding=True))
-    translated_text = tokenizer.decode(translated[0], skip_special_tokens=True)
-    return translated_text
-
-# Streamlit app
-st.title("Text Translation App")
-
-st.write("Translate text from one language to another using a Hugging Face model.")
-
-source_lang = st.selectbox("Select the source language", list(LANGUAGES.keys()), format_func=lambda x: LANGUAGES[x])
-target_lang = st.selectbox("Select the target language", list(LANGUAGES.keys()), format_func=lambda x: LANGUAGES[x])
-
-text = st.text_area("Enter the text you want to translate")
-
-if st.button("Translate"):
-    if source_lang == target_lang:
-        st.warning("Source and target languages are the same. Please select different languages.")
-    else:
-        translated_text = translate_text(text, source_lang, target_lang)
-        st.write("**Translated Text:**")
-        st.write(translated_text)