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app.py

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+from transformers import pipeline, set_seed
+
+import gradio as gr
+
+# Carica il modello GPT-2
+
+generator = pipeline('text-generation', model='gpt2')
+
+set_seed(42)
+
+def generate_text(prompt):
+
+    response = generator(
+
+        prompt,
+
+        max_length=100,
+
+        num_return_sequences=1,
+
+        truncation=True
+
+    )
+
+    return response[0]['generated_text']
+
+# Interfaccia Gradio
+
+interface = gr.Interface(
+
+    fn=generate_text,
+
+    inputs=gr.Textbox(lines=5, placeholder="Inserisci il tuo testo iniziale..."),
+
+    outputs="text",
+
+    title="GPT-2 Text Generator",
+
+    description="Genera testo continuativo usando GPT-2 senza fine-tuning."
+
+)
+
+if __name__ == "__main__":
+
+    interface.launch()

requirements.txt

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+transformers
+
+gradio
+
+torch