Update app.py

app.py

@@ -1,19 +1,20 @@
 import gradio as gr
 from transformers import MBartForConditionalGeneration, MBart50TokenizerFast
+
 model = MBartForConditionalGeneration.from_pretrained("SnypzZz/Llama2-13b-Language-translate")
 tokenizer = MBart50TokenizerFast.from_pretrained("SnypzZz/Llama2-13b-Language-translate", src_lang="en_XX")
 
-dropdown = gr.Dropdown(["de_DE", "es_XX"], label="Choose Output Language")
+dropdown = gr.Dropdown(["de_DE", "es_XX", "fr_XX", "sv_SE", "ru_RU"], label="Choose Output Language")
 
-def d(input, dropdown_value):
+def execute(input, dropdown_value):
     model_inputs = tokenizer(input, return_tensors="pt")
     generated_tokens = model.generate(
         **model_inputs,
         forced_bos_token_id=tokenizer.lang_code_to_id[dropdown_value]
     )
-    output_DE = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
-    output_DE = output_DE.strip("[]' ") 
-    return output_DE
+    output = tokenizer.batch_decode(generated_tokens, skip_special_tokens=True)[0]
+    output = output.strip("[]' ") 
+    return output
 
-iface = gr.Interface(fn=d, inputs=["textbox", dropdown], outputs="textbox")
+iface = gr.Interface(fn=execute, inputs=["textbox", dropdown], outputs="textbox")
 iface.launch()