Update app.py

app.py

@@ -1,18 +1,5 @@
-import os
-from onnxt5 import GenerativeT5
-from onnxt5.api import get_encoder_decoder_tokenizer
 import gradio as gr
 
-os.system("pip install onnxruntime==1.6.0")
-
-
-decoder_sess, encoder_sess, tokenizer = get_encoder_decoder_tokenizer()
-generative_t5 = GenerativeT5(encoder_sess, decoder_sess, tokenizer, onnx=True)
-
-def inference(prompt):
-  output_text, output_logits = generative_t5(prompt, max_length=100, temperature=0.)
-  return output_text
-
 title="T5"
-description="T5 is a transformer model which aims to provide great flexibility and provide better semantic understanding through the training of multiple tasks at once."
-gr.Interface(inference,"text","text",title=title,description=description).launch(enable_queue=True)
+
+gr.Interface.load("huggingface/t5-base").launch()