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app.py

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+import gradio as gr
+import transformers
+from transformers import AutoModelWithLMHead, AutoTokenizer, pipeline
+from transformers import GPT2Tokenizer, GPT2Model
+
+model = GPT2Model.from_pretrained('LorenzoDeMattei/GePpeTto')
+tokenizer = GPT2Tokenizer.from_pretrained(
+    'LorenzoDeMattei/GePpeTto',
+)
+
+text_generator = pipeline("text-generation", model=AutoModelWithLMHead.from_pretrained('azaninello/GPT2-icc'),
+    tokenizer='LorenzoDeMattei/GePpeTto', 
+    do_sample=True,
+    max_length=200,
+    top_k=50,
+    top_p=0.95,
+    repetition_penalty=9.5)
+
+def generator(scrivi_qualcosa = ''):
+  result = text_generator(scrivi_qualcosa, max_length=420) 
+  return shroom_result[0]["generated_text"]
+
+iface = gr.Interface(fn=generator, inputs="text", outputs="text")
+iface.launch()