Create app.py

app.py

@@ -0,0 +1,20 @@
+import os
+import gradio as gr
+from transformers import pipeline
+
+
+def blog_gen(txt):
+    generator=pipeline(task='text-generation',model='gpt2')
+    gen_blog=generator(txt,max_length=300,num_return_sequences=2)
+    remove_gen_text = list(map(lambda x: x["generated_text"], gen_blog))
+    clean_text = list(map(lambda x: x.replace("\n\n", " "), remove_gen_text))
+    return clean_text
+
+
+iface = gr.Interface(fn=blog_gen,
+                     inputs=[
+                         gr.inputs.Textbox(
+                             lines=2, placeholder=None, label='Sentence'),
+                     ],
+                     outputs=[gr.outputs.JSON(label=None)])
+iface.launch()