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app.py
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import gradio as gr
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import model_utils
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import inference
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tokenizer = model_utils.load_tokenizers()
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tokenizer.pad_token = tokenizer.eos_token
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model = model_utils.load_model(quantization_config=None)
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adapter = "model/checkpoint-700/"
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model.load_adapter(adapter)
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def generated_text(prompt):
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result = inference.predict(prompt=prompt, model=model, tokenizer=tokenizer, max_length=200)
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return result
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iface = gr.Interface(
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fn = generated_text,
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inputs = gr.Textbox(),
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outputs = gr.Textbox(),
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theme="dark",
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title="Phi-2 Finetuned Model. For more visit: https://github.com/bala1802/Phi2"
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)
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iface.launch(share=True)
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