Update app.py

app.py

@@ -1,25 +1,25 @@
 import gradio as gr
 from transformers import AutoModelForSeq2SeqLM, NllbTokenizer
 
-# Load the pre-trained model and tokenizer
+
 model_name = "sarahai/nllb-ru-uz"
 model = AutoModelForSeq2SeqLM.from_pretrained(model_name)
 tokenizer = NllbTokenizer.from_pretrained(model_name)
 
 def translate(text, src_lang="rus_Cyrl", tgt_lang="uzn_Latn"):
-    """Translates text from source to target language."""
+    
     inputs = tokenizer(text, return_tensors="pt")
     translated = model.generate(**inputs)
     return tokenizer.batch_decode(translated, skip_special_tokens=True)[0]
 
-# Define the Gradio interface
+
 interface = gr.Interface(
     fn=translate,
-    inputs=[gr.Textbox(label="Text to Translate"), gr.Dropdown(choices=["ru", "uz"], label="Source Language"), gr.Dropdown(choices=["uz"], label="Target Language")],
+    inputs=[gr.Textbox(label="Text to Translate")],
     outputs="textbox",
-    title="Russian to Uzbek Translator",
-    description="Translate text from Russian to Uzbek using the `sarahai/nllb-ru-uz` model.",
+    title="Русско-Узбекский Переводчик",
+    description="Перевод русских текстов на узбекский с помощью `sarahai/nllb-ru-uz` model.",
 )
 
-# Launch the Gradio app
-interface.launch(share=True, debug=True)  # Set share=True to create a Hugging Face Space
+
+interface.launch(share=True, debug=True)