Create app.py

app.py

@@ -0,0 +1,13 @@
+from transformers import AutoTokenizer, AutoModelWithLMHead
+import gradio as grad
+text2text_tkn = AutoTokenizer.from_pretrained("deep-learning-analytics/wikihow-t5-small")
+mdl = AutoModelWithLMHead.from_pretrained("deep-learning-analytics/wikihow-t5-small")
+def text2text_summary(para):
+    initial_txt = para.strip().replace("\n","")
+    tkn_text = text2text_tkn.encode(initial_txt, return_tensors="pt")
+    tkn_ids = mdl.generate(tkn_text, max_length=250, num_beams=5, repetition_penalty=2.5, early_stopping=Tru)
+    response = text2text_tkn.decode(tkn_ids[0], skip_special_tokens=True)
+    return response
+para=grad.Textbox(lines=10, label="Paragraph", placeholder="Copy paragraph")
+out=grad.Textbox(lines=1, label="Summary")
+grad.Interface(text2text_summary, inputs=para, outputs=out).launch()