import gradio as gr
from llama_cpp import Llama

llm = Llama(model_path="vicuna-AlekseyKorshuk-7B-GPTQ-4bit-128g.GGML.bin", n_ctx=2048)

def generate_text(prompt):
    output = llm(prompt, max_tokens=468, temperature=0.1, top_p=0.5, echo=False, stop=["#"])
    text = output['choices'][0]['text']
    return text

input_text = gr.Textbox(lines= 10, label="Enter your input text")
output_text = gr.Textbox(label="Output text")

description = "Vicuna-7B-GPTQ-4bit-128g.GGML, max_tokens=468, temperature=0.1, top_p=0.5"

examples = [
    ["What is the capital of France? ", "The capital of France is Paris."],
    ["Who wrote the novel 'Pride and Prejudice'?", "The novel 'Pride and Prejudice' was written by Jane Austen."],
    ["What is the square root of 64?", "The square root of 64 is 8."]
]

demo = gr.Interface(fn=generate_text, inputs=input_text, outputs=output_text, title="Vicuna Language Model", description=description)

demo.launch(share=True)