app.py

import streamlit as st
from huggingface_hub import InferenceClient
import time

# Initialize the HuggingFace Inference Client
client = InferenceClient(model="mistralai/Mistral-7B-Instruct-v0.1")

def format_prompt(message, history, system_prompt=""):
    prompt = "<s>"
    if system_prompt:
        prompt += f"[SYS] {system_prompt} [/SYS] "
    for user_prompt, bot_response in history:
        prompt += f"[INST] {user_prompt} [/INST]"
        prompt += f" {bot_response}</s> "
    prompt += f"[INST] {message} [/INST]"
    return prompt

def generate(prompt, history, system_prompt="", temperature=0.9, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0):
    temperature = max(temperature, 1e-2)
    generate_kwargs = dict(
        temperature=temperature,
        max_new_tokens=max_new_tokens,
        top_p=top_p,
        repetition_penalty=repetition_penalty,
        do_sample=True,
        seed=42,
    )

    formatted_prompt = format_prompt(prompt, history, system_prompt)
    try:
        stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False)
        output = ""
        for response in stream:
            output += response.token.text
        return output
    except Exception as e:
        st.error(f"Error generating text: {e}")
        return ""

def main():
    st.title("Waifu Character Generator")

    # User inputs
    name = st.text_input("Name of the Waifu")
    hair_color = st.selectbox("Hair Color", ["Blonde", "Brunette", "Red", "Black", "Blue", "Pink"])
    personality = st.selectbox("Personality", ["Tsundere", "Yandere", "Kuudere", "Dandere", "Genki", "Normal"])
    outfit_style = st.selectbox("Outfit Style", ["School Uniform", "Maid Outfit", "Casual", "Kimono", "Gothic Lolita"])
    system_prompt = st.text_input("Optional System Prompt", "")

    # Advanced settings
    with st.expander("Advanced Settings"):
        temperature = st.slider("Temperature", 0.0, 1.0, 0.9, step=0.05)
        max_new_tokens = st.slider("Max new tokens", 0, 8192, 512, step=64)
        top_p = st.slider("Top-p (nucleus sampling)", 0.0, 1.0, 0.95, step=0.05)
        repetition_penalty = st.slider("Repetition penalty", 1.0, 2.0, 1.0, step=0.05)

    # Initialize session state for generated text
    if "generated_text" not in st.session_state:
        st.session_state.generated_text = ""

    # Generate button
    if st.button("Generate Waifu"):
        with st.spinner("Generating waifu character..."):
            history = []
            prompt = f"Create a waifu character named {name} with {hair_color} hair, a {personality} personality, and wearing a {outfit_style}."
            st.session_state.generated_text = generate(prompt, history, system_prompt, temperature, max_new_tokens, top_p, repetition_penalty)

    # Display the generated character
    if st.session_state.generated_text:
        st.subheader("Generated Waifu Character")
        st.write(st.session_state.generated_text)

if __name__ == "__main__":
    main()