Create app.py

app.py

@@ -0,0 +1,25 @@
+import gradio as gr
+from transformers import pipeline
+
+
+translator = pipeline(
+    task="translation",
+    model="facebook/nllb-200-distilled-600M"
+)
+
+
+def translate_text(text):
+    translated = translator(text, src_lang="eng_Latn", tgt_lang="tur_Latn")
+    return translated[0]['translation_text']
+
+
+demo = gr.Interface(
+    fn=translate_text,
+    inputs=gr.Textbox(label="Input Text (English)"),
+    outputs=gr.Textbox(label="Translated Text (Turkish)"),
+    title="English to Turkish Translator",
+    description="A demo that translates English text to Turkish using the NLLB-200 model."
+)
+
+
+demo.launch(share=True)