Create nn.py

nn.py

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+!pip install gradio transformers
+import gradio as gr
+from transformers import pipeline
+translator = pipeline("translation", model="facebook/nllb-200-distilled-600M")
+def translate_text(text, src_lang, tgt_lang): 
+    translation = translator(text, src_lang=src_lang, tgt_lang=tgt_lang)
+    return translation[0]['translation_text']
+languages = {
+             "English": "eng_Latn",
+             "French": "fra_Latn", 
+             "Arabic": "arb", 
+             "Spanish": "spa_Latn", 
+             "German": "deu_Latn",
+             "Chinese": "zho_Hans" 
+             }
+iface = gr.Interface(
+    fn=translate_text,
+    inputs=[
+        gr.Textbox(label="Input Text"), 
+        gr.Dropdown(choices=list(languages.keys()), label="Source Language", value="English"), 
+        gr.Dropdown(choices=list(languages.keys()), label="Target Language", value="French") 
+        ],
+        outputs=gr.Textbox(label="Translated Text"),
+        title="Translation using NLLB-200" 
+        ) 
+iface.launch()