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chrisociepa
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Parent(s):
6dd5f06
Upload app.py
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app.py
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import gradio as gr
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import torch
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from transformers import AutoModelForCausalLM, AutoTokenizer, pipeline
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model_name = "Azurro/APT-1B-Base"
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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model = AutoModelForCausalLM.from_pretrained(model_name)
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generator = pipeline(
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"text-generation",
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model=model,
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tokenizer=tokenizer,
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torch_dtype=torch.bfloat16,
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device_map="auto",
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)
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def generate_text(prompt, max_length, temperature, top_k, top_p, beams):
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output = generator(prompt,
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max_length=max_length,
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temperature=temperature,
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top_k=top_k,
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do_sample=True,
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top_p=top_p,
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num_beams=beams)
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return output[0]['generated_text']
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input_text = gr.inputs.Textbox(label="Input Text")
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max_length = gr.inputs.Slider(1, 200, step=1, default=100, label="Max Length")
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temperature = gr.inputs.Slider(0.1, 1.0, step=0.1, default=0.8, label="Temperature")
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top_k = gr.inputs.Slider(1, 200, step=1, default=10, label="Top K")
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top_p = gr.inputs.Slider(0.1, 2.0, step=0.1, default=0.95, label="Top P")
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beams = gr.inputs.Slider(1, 20, step=1, default=1, label="Beams")
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outputs = gr.outputs.Textbox(label="Generated Text")
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gr.Interface(generate_text, inputs=[input_text, max_length, temperature, top_k, top_p, beams], outputs=outputs).launch()
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