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import streamlit as st |
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from huggingface_hub import InferenceClient |
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import time |
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with open('style.css') as f: |
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st.markdown(f'<style>{f.read()}</style>', unsafe_allow_html=True) |
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client = InferenceClient(model="mistralai/Mistral-7B-Instruct-v0.1") |
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def format_prompt(name, hair_color, personality, outfit_style, hobbies, favorite_food, background_story, system_prompt=""): |
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prompt = f"Create a waifu character named {name} with {hair_color} hair, a {personality} personality, and wearing a {outfit_style}. " |
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prompt += f"Her hobbies include {hobbies}. Her favorite food is {favorite_food}. Here is her background story: {background_story}." |
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if system_prompt: |
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prompt = f"[SYS] {system_prompt} [/SYS] " + prompt |
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return prompt |
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def generate_text(prompt, temperature=0.9, max_new_tokens=512, top_p=0.95, repetition_penalty=1.0): |
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temperature = max(temperature, 1e-2) |
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generate_kwargs = dict( |
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temperature=temperature, |
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max_new_tokens=max_new_tokens, |
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top_p=top_p, |
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repetition_penalty=repetition_penalty, |
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do_sample=True, |
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seed=42, |
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) |
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try: |
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stream = client.text_generation(prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) |
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output = "" |
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for response in stream: |
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output += response.token.text |
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return output |
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except Exception as e: |
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st.error(f"Error generating text: {e}") |
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return "" |
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def main(): |
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st.title("Enhanced Waifu Character Generator") |
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col1, col2 = st.columns(2) |
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with col1: |
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name = st.text_input("Name of the Waifu") |
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hair_color = st.selectbox("Hair Color", ["Blonde", "Brunette", "Red", "Black", "Blue", "Pink"]) |
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personality = st.selectbox("Personality", ["Tsundere", "Yandere", "Kuudere", "Dandere", "Genki", "Normal"]) |
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outfit_style = st.selectbox("Outfit Style", ["School Uniform", "Maid Outfit", "Casual", "Kimono", "Gothic Lolita"]) |
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with col2: |
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hobbies = st.text_input("Hobbies") |
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favorite_food = st.text_input("Favorite Food") |
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background_story = st.text_area("Background Story") |
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system_prompt = st.text_input("Optional System Prompt", "") |
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with st.expander("Advanced Settings"): |
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temperature = st.slider("Temperature", 0.0, 1.0, 0.9, step=0.05) |
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max_new_tokens = st.slider("Max new tokens", 0, 8192, 512, step=64) |
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top_p = st.slider("Top-p (nucleus sampling)", 0.0, 1.0, 0.95, step=0.05) |
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repetition_penalty = st.slider("Repetition penalty", 1.0, 2.0, 1.0, step=0.05) |
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if st.button("Generate Waifu"): |
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with st.spinner("Generating waifu character..."): |
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prompt = format_prompt(name, hair_color, personality, outfit_style, hobbies, favorite_food, background_story, system_prompt) |
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generated_text = generate_text(prompt, temperature, max_new_tokens, top_p, repetition_penalty) |
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st.success("Waifu character generated!") |
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if generated_text: |
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st.subheader("Generated Waifu Character") |
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st.write(generated_text) |
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if __name__ == "__main__": |
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main() |
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