app.py

import os
os.system('CMAKE_ARGS="-DLLAMA_OPENBLAS=on" FORCE_CMAKE=1 pip install llama-cpp-python==0.1.62')

import gradio as gr
from llama_cpp import Llama


llm = Llama(model_path="Wizard-Vicuna-13B-Uncensored.ggmlv3.q4_K_M.bin", n_ctx=2048, n_batch=126)

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

description = "Wizard-Vicuna-13B-Uncensored, 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."]
]

gradio_interface = gr.Interface(
  fn=generate_text,
  inputs="text",
  outputs="text",
  title="Vicuna API",
)
gradio_interface.launch()