Update app.py

app.py

@@ -5,7 +5,7 @@ import gradio as gr
 tokenizer = GPT2Tokenizer.from_pretrained("sberbank-ai/mGPT")
 model = GPT2LMHeadModel.from_pretrained("sberbank-ai/mGPT")
 
-def eval_aguila(text):
+def eval_text(text):
     # Encode the input text
     input_ids = tokenizer.encode(text, return_tensors="pt")
 
@@ -29,6 +29,6 @@ def eval_aguila(text):
     return(f"Result: {generation[0]['generated_text']}")
 
 
-demo = gr.Interface(fn=lecturabilidad, inputs="text", outputs="text", title="Mixtral")
+demo = gr.Interface(fn=eval_text, inputs="text", outputs="text", title="Mixtral")
     
 demo.launch(share=True)