Create app.py

app.py

@@ -0,0 +1,10 @@
+import gradio as gr
+from gradio.mix import Parallel
+from transformers import pipeline, AutoTokenizer, AutoModelForSeq2SeqLM
+
+distilbart_model = "https://huggingface.co/sshleifer/distilbart-cnn-12-6"
+model_name = "shamikbose89/mt5-small-finetuned-arxiv-cs-full"
+
+base_model = gr.Interface.load(distilbart_model, title="DistilBART output")
+my_model = gr.Interface.load(model_name, title = "Finetuned model output", inputs = text, outputs=text)
+Parallel(base_model, my_model)