Update app.py

app.py

@@ -1,23 +1,11 @@
 import gradio as gr
-import transformers
 
-# Load a pre-trained model.
-model = transformers.AutoModelForSeq2SeqLM.from_pretrained("facebook/bart-large")
 
 # Define a function to generate text.
 def generate_text(text):
-  """Generates text based on a given prompt."""
+   
 
-  # Tokenize the input text.
-  input_ids = model.tokenizer.encode(text, return_tensors="pt")
-
-  # Generate text.
-  output_ids = model.generate(input_ids=input_ids, max_length=100, num_beams=5)
-
-  # Decode the output text.
-  output_text = model.tokenizer.decode(output_ids[0])
-
-  return output_text
+  return 'success'
 
 # Define the Gradio interface.
 chat_box = gr.inputs.Textbox(label="Chat Box")