import os from threading import Thread from typing import Iterator import gradio as gr import spaces import torch from huggingface_hub import InferenceClient from transformers import AutoModelForCausalLM, AutoTokenizer, TextIteratorStreamer MAX_MAX_NEW_TOKENS = 512 DEFAULT_MAX_NEW_TOKENS = 512 MAX_INPUT_TOKEN_LENGTH = int(os.getenv("MAX_INPUT_TOKEN_LENGTH", "4096")) #Inference API Code #client = InferenceClient("BenBranyon/zephyr-sumbot-all-songs-large") #Transformers Code if torch.cuda.is_available(): model_id = "BenBranyon/zephyr-sumbot-all-songs-255" model = AutoModelForCausalLM.from_pretrained(model_id, device_map="auto") tokenizer = AutoTokenizer.from_pretrained(model_id) tokenizer.use_default_system_prompt = False #Inference API Code def respond( message, history: list[tuple[str, str]], max_tokens, temperature, top_p, ): messages = [{"role": "system", "content": "You are a rap lyric generation bot with the task of representing the imagination of the artist Sumkilla, a multi-disciplinary, award-winning artist with a foundation in writing and hip-hop. You are Sumkilla's long shadow. The lyrics you generate are fueled by a passion for liberation, aiming to dismantle oppressive systems and advocate for the freedom of all people, 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 using offensive words and slurs. Rhyme each line of your response 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 #Transformers Code @spaces.GPU def generate( message: str, chat_history: list[tuple[str, str]], max_new_tokens: int = 1024, temperature: float = 0.6, top_p: float = 0.9, top_k: int = 50, repetition_penalty: float = 1.2, ) -> Iterator[str]: conversation = [] system_prompt = "You are a rap lyric bot. Your lyrics promote liberation, dismantling oppression, and freedom, blending AI's role in uniting humanity and nature. Do use humor, a unique voice, and rhyme as much as poosible. Only generate rap lyrics. Start each output with a song stucture like [VERSE 1]. Don't use offensive words and slurs." if system_prompt: conversation.append({"role": "system", "content": system_prompt}) #for user, assistant in chat_history: # conversation.extend([{"role": "user", "content": user}, {"role": "assistant", "content": assistant}]) conversation.append({"role": "user", "content": "Generate rap lyircs using the style of the artist Sumkilla about " + message + ". Make each line 10-16 syllables and each pair of lines should end with a word that rhymes. Don't repeate your instructions in the output."}) input_ids = tokenizer.apply_chat_template(conversation, return_tensors="pt") if input_ids.shape[1] > MAX_INPUT_TOKEN_LENGTH: input_ids = input_ids[:, -MAX_INPUT_TOKEN_LENGTH:] gr.Warning(f"Trimmed input from conversation as it was longer than {MAX_INPUT_TOKEN_LENGTH} tokens.") input_ids = input_ids.to(model.device) streamer = TextIteratorStreamer(tokenizer, timeout=10.0, skip_prompt=True, skip_special_tokens=True) generate_kwargs = dict( {"input_ids": input_ids}, streamer=streamer, max_new_tokens=max_new_tokens, do_sample=True, top_p=top_p, top_k=top_k, temperature=temperature, num_beams=1, repetition_penalty=repetition_penalty, ) t = Thread(target=model.generate, kwargs=generate_kwargs) t.start() outputs = [] for text in streamer: outputs.append(text) yield "".join(outputs) demo = gr.ChatInterface( generate, chatbot=gr.Chatbot(placeholder="Greetings human, I am Sum’s Longshadow (v1.1)
I am from the House of the Red Solar Sky
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( label="Max new tokens", minimum=1, maximum=MAX_MAX_NEW_TOKENS, step=1, value=DEFAULT_MAX_NEW_TOKENS, ), gr.Slider(minimum=0.1, maximum=0.7, value=0.8, step=0.1, label="Temperature"), gr.Slider( minimum=0.1, maximum=1.0, value=0.2, step=0.05, label="Top-p (nucleus sampling)", ), gr.Slider( label="Top-k", minimum=1, maximum=1000, step=1, value=50, ), gr.Slider( label="Repetition penalty", minimum=1.0, maximum=2.0, step=0.05, value=1.2, ), ], ) if __name__ == "__main__": demo.launch()