Create app.py

app.py

@@ -0,0 +1,17 @@
+from transformers import AutoTokenizer, AutoModelWithMLHead
+import gradio as gr
+
+model_name = "deep-learning-analytics/wikihow-t5-small"
+model = AutoModelWithMLHead.from_pretrained(model_name)
+text2text_tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+def text2text(paragraph):
+    text = paragraph.strip().replace("\n", "")
+    token_text = text2text_tokenizer.encode(text, return_tensors="pt")
+    token_ids = model.generate(token_text, max_length=250, num_beams=5, repetition_penality=2.5, early_stopping=True)
+    response = text2text_tokenizer.decode(token_ids[0], skip_special_tokens=True) 
+    return response
+
+in_para = gr.Textbox(lines=10, label="Paragraph", placeholder="Copy paragraph")
+out = gr.Textbox(lines=1, label="Summary")
+gr.Interface(text2text, inputs=in_para, outputs=out)