Create app.py

app.py

@@ -0,0 +1,12 @@
+import gradio as gr
+import transformers
+from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
+
+shroom_generator = pipeline("text-generation", model=AutoModelForCausalLM.from_pretrained('LorenzoDeMattei/GePpeTto'), tokenizer="gpt2")
+
+def generator(inizia_la_storia = ''):
+  shroom_result = shroom_generator(inizia_la_storia, max_length=420) 
+  return shroom_result[0]["generated_text"]
+
+iface = gr.Interface(fn=generator, inputs="text", outputs="text")
+iface.launch()