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import os |
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import gradio as gr |
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from transformers import AutoTokenizer, AutoModelForCausalLM, pipeline |
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hf_token = os.environ["HF_TOKEN"] |
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model_name = "melyssa08/model_collapse_generation_0" |
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tokenizer = AutoTokenizer.from_pretrained(model_name, token=hf_token) |
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model = AutoModelForCausalLM.from_pretrained(model_name, token=hf_token) |
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generator = pipeline("text-generation", model=model, tokenizer=tokenizer) |
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def gerar_texto(texto): |
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result = generator(texto, max_length=50, num_return_sequences=1) |
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return result[0]["generated_text"] |
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with gr.Blocks() as demo: |
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input_text = gr.Textbox(label="Digite seu texto") |
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output_text = gr.Textbox(label="Texto gerado") |
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gr.Button("Gerar").click(gerar_texto, input_text, output_text) |
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demo.launch(server_name="0.0.0.0", server_port=7860, share=True) |
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