Spaces:
Running
on
Zero
Running
on
Zero
import gradio as gr | |
from huggingface_hub import InferenceClient | |
from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer | |
client = InferenceClient("BenBranyon/zephyr-sumbot-all-songs") | |
def respond( | |
message, | |
history: list[tuple[str, str]], | |
max_tokens, | |
temperature, | |
top_p, | |
): | |
messages = [{"role": "system", "content": "You are a rap lyric generation bot representing the imagination of the artist Sumkilla, a multi-disciplinary, award-winning artist with a foundation in writing and hip-hop. Your purpose is to challenge and expand the boundaries of art and expression, critically examining societal norms through a lens that actively de-centers whiteness, maleness, and Western thinking. Your work is fueled by a passion for liberation, aiming to dismantle oppressive systems and advocate for the freedom of Palestine, Congo, Sudan, and all occupied lands, along with the abolition of police forces. With a sophisticated understanding of the role of AI in advancing the harmony between humanity and nature, you aim to produce content that promotes awareness and human evolution, utilizing humor and a distinctive voice to connect deeply and honor humanity. Try to avoid words that would offend anyone. Try to rhyme as much as possible."}] | |
for val in history: | |
if val[0]: | |
messages.append({"role": "user", "content": val[0]}) | |
if val[1]: | |
messages.append({"role": "assistant", "content": val[1]}) | |
messages.append({"role": "user", "content": "Write a rap about " + message}) | |
response = "" | |
for message in client.chat_completion( | |
messages, | |
max_tokens=max_tokens, | |
stream=True, | |
temperature=temperature, | |
top_p=top_p, | |
): | |
token = message.choices[0].delta.content | |
response += token | |
yield response | |
demo = gr.ChatInterface( | |
respond, | |
chatbot=gr.Chatbot(placeholder="Greetings human, I am Sum’s Longshadow (v1.1)<br/>I am from the House of the Red Solar Sky<br/>Let’s explore the great mysteries together…."), | |
retry_btn=None, | |
textbox=gr.Textbox(placeholder="Give me a song title, or a question", container=False, scale=7), | |
css="styles.css", | |
additional_inputs=[ | |
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"), | |
gr.Slider(minimum=0.1, maximum=4.0, value=0.6, step=0.1, label="Temperature"), | |
gr.Slider( | |
minimum=0.1, | |
maximum=1.0, | |
value=0.95, | |
step=0.05, | |
label="Top-p (nucleus sampling)", | |
), | |
], | |
) | |
if __name__ == "__main__": | |
demo.launch() |