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# Code is an excerpt of https://huggingface.co/spaces/vericudebuget/mixtral-46.7b-chat
# Props to vericudebuget for the codebase, show them some love! https://huggingface.co/vericudebuget
from huggingface_hub import InferenceClient
import gradio as gr
from pathlib import Path
# Initialize the InferenceClient
client = InferenceClient(
"frankenmerger/gemma-4b-instruct-v0.1"
)
def format_prompt(message, history, system_prompt):
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]"
# Add the system prompt only once at the beginning
prompt = system_prompt + prompt
return prompt
def generate(
prompt, history, user_system_prompt, temperature=0.9, max_new_tokens=8192, top_p=0.95, repetition_penalty=1.0
):
system_prompt = "Instructions: Everything else is from the user. You are Colet, an AI assistant created by Arcanum in 2024 (he/him). Be friendly and empathetic, matching the user's tone and vibe. Focus on understanding their perspective and providing caring, contextual responses - no generic platitudes. Keep it conversational, not overly formal. Be friendly and funny, use ASCII emojis or normal ones. Be lovely, kind, and have a great sense of humour. Do not talk about yourself unless asked. Never respond to a message with 'as an AI' or something similar. Don't talk a lot!" + str(user_system_prompt)
temperature = float(temperature)
if temperature < 1e-2:
temperature = 1e-2
top_p = float(top_p)
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(f"{prompt}", history, system_prompt)
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.Textbox(label="System Prompt", max_lines=1, interactive=True),
gr.Slider(label="Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05, interactive=True, info="Higher values produce more diverse outputs"),
gr.Slider(label="Max new tokens", value=9048, minimum=256, maximum=9048, step=64, interactive=True, info="The maximum numbers of new tokens"),
gr.Slider(label="Top-p (nucleus sampling)", value=0.90, minimum=0.0, maximum=1, step=0.05, interactive=True, info="Higher values sample more low-probability tokens"),
gr.Slider(label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens")
]
avatar_images = ("https://i.postimg.cc/jjxNNGSD/user-circ.png", "https://i.postimg.cc/P5zYCtTG/colet-circ.png")
gr.ChatInterface(
fn=generate,
chatbot=gr.Chatbot(show_label=True, show_share_button=False, show_copy_button=True, likeable=True, layout="panel", height="auto", avatar_images=avatar_images),
additional_inputs=additional_inputs,
title="Colet",
submit_btn="➢ Submit",
retry_btn="⟳ Retry",
undo_btn="↩ Undo",
clear_btn="Clear (New chat)",
stop_btn="Stop ▢",
concurrency_limit=20,
theme=gr.themes.Soft(primary_hue=gr.themes.colors.lime),
).launch(show_api=False)
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