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import gradio as gr | |
from llama_cpp import Llama | |
llm = Llama(model_path="ggml-alpaca-7b-q4.bin") | |
def generate_text(input_text): | |
output = llm(input_text, max_tokens=256, stop=["Q:", "\n"], echo=True) | |
return output['choices'][0]['text'] | |
input_text = gr.inputs.Textbox(label="Enter your input text") | |
output_text = gr.outputs.Textbox(label="Output text") | |
gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Llama Language Model", description="Enter your input text to generate output text.").launch() | |
description = "llama.cpp implementation in python [https://github.com/abetlen/llama-cpp-python]" | |
examples = [ | |
["Q: What is the capital of France? A: ", "The capital of France is Paris."], | |
["Q: Who wrote the novel 'Pride and Prejudice'? A: ", "The novel 'Pride and Prejudice' was written by Jane Austen."], | |
["Q: What is the square root of 64? A: ", "The square root of 64 is 8."] | |
] | |
gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Llama Language Model", description=description, examples=examples).launch() | |