Create app.py

app.py

@@ -0,0 +1,23 @@
+import gradio as gr
+import transformers
+from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline
+from transformers import GPT2Tokenizer, GPT2Model
+
+model = GPT2Model.from_pretrained('micrem73/GePpeTto-finetuned-ricettetrentine')
+tokenizer = GPT2Tokenizer.from_pretrained(
+    'micrem73/GePpeTto-finetuned-ricettetrentine',
+)
+
+shroom_generator = pipeline("text-generation", model=AutoModelWithLMHead.from_pretrained('micrem73/GePpeTto-finetuned-ricettetrentine'),
+    tokenizer='micrem73/GePpeTto-finetuned-ricettetrentine', 
+    do_sample=True,
+    max_length=100,
+    top_k=50,
+    top_p=0.95,)
+
+def generator(inizia_la_storia = ''):
+  shroom_result = shroom_generator(inizia_la_storia, max_length=520) 
+  return shroom_result[0]["generated_text"]
+
+iface = gr.Interface(fn=generator, inputs="text", outputs="text")
+iface.launch()