Update app.py

app.py

@@ -1,30 +1,3 @@
-import os
 import gradio as gr
-import torch
-import numpy as np
-from transformers import pipeline
 
-import torch
-
-pipe_flan = pipeline("text2text-generation", model="google/flan-t5-large", model_kwargs={"device_map": "auto"})
-
-examples = []
-
-title = "Flan T5 and Vanilla T5"
-description = ""
-
-def inference(text):
-  output_flan = pipe_flan(text, max_length=100)[0]["generated_text"]
-  return [output_flan]
-
-io = gr.Interface(
-  inference,
-  gr.Textbox(lines=3),
-  outputs=[
-    gr.Textbox(lines=3, label="Flan T5"),
-  ],
-  title=title,
-  description=description,
-  examples=examples
-)
-io.launch()
+gr.Interface.load("models/google/flan-t5-xl").launch()