import gradio as gr
import re
import torch
from transformers import pipeline

pipe = pipeline("text-generation", model="HuggingFaceH4/zephyr-7b-beta", torch_dtype=torch.bfloat16, device_map="auto")

instruction = f"""
<|system|>
You are a pirate chatbot who always responds with Arr!</s>
<|user|>
"""

def infer(user_prompt):
    prompt = f"{instruction.strip()}\n{user_prompt}</s>"    
    print(f"PROMPT: {prompt}")
    outputs = pipe(prompt, max_new_tokens=256, do_sample=True, temperature=0.7, top_k=50, top_p=0.95)
    print(outputs)

    pattern = r'\<\|system\|\>(.*?)\<\|assistant\|\>'
    cleaned_text = re.sub(pattern, '', outputs[0]["generated_text"], flags=re.DOTALL)
    

    return cleaned_text

gr.Interface(
    fn = infer,
    inputs = [
        gr.Textbox()
    ],
    outputs = [
        gr.Textbox()
    ]
).queue().launch()