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from huggingface_hub import InferenceClient
import gradio as gr
import random
import prompts
client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1")
def format_prompt(message, history):
prompt = "<s>"
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,max_new_tokens,seed):
#seed = random.randint(1,9999999999999)
system_prompt = prompts.SONG_WRITER
generate_kwargs = dict(
temperature=0.9,
max_new_tokens=max_new_tokens,
top_p=0.95,
repetition_penalty=1.0,
do_sample=True,
seed=seed,
)
formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history)
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
yield output
additional_inputs = [
gr.Slider(
label="Max new tokens",
value=4096,
minimum=10,
maximum=1048*10,
step=64,
interactive=True,
info="The maximum numbers of words the chatbot will return",
)
gr.Slider(
label="Seed",
value=random.randint(1,9999999999999999),
minimum=0,
maximum=9999999999999999,
step=64,
interactive=True,
info="Each seed produces a different output to a single prompt",
),
]
examples=[["Write a heavy metal rock song about horses (1000 words)"],
["Write a really long song about an elephant love story. The elephants have been together for a long time. (3000 words)"],
["Write a slammin rap song about about a gangster fising trip."],
["Add more lyrics to the previous song"],
]
gr.ChatInterface(
fn=generate,
chatbot=gr.Chatbot(show_label=False, show_share_button=False, show_copy_button=True, likeable=True, layout="panel"),
title="Song Writer",
additional_inputs=additional_inputs,
examples=examples,
concurrency_limit=20,
).launch(show_api=False) |