illioran's picture
Change model from mistral to MistralTrix
369aa95
import gradio as gr
from huggingface_hub import InferenceClient
def format_chat_prompt(message, chat_history,instruction):
prompt = f"System:{instruction}"
for turn in chat_history:
user_message, bot_message = turn
prompt = f"{prompt}\nUser: {user_message}\nAssistant:{bot_message}"
prompt= f"{prompt}\nUser: {message}\nAssistant:"
return prompt
def respond(message, chat_history,instruction,model,temperature):
if model == "Llama2-Chat":
model = "meta-llama/Llama-2-7b-chat-hf"
else:
model="CultriX/MistralTrix-v1"
client = InferenceClient(model=f"{model}",timeout=30)
formatted_prompt = format_chat_prompt(message,chat_history,instruction)
bot_message = client.text_generation(formatted_prompt, max_new_tokens=1024,
stop_sequences=["\nUser:", "<|endoftext|>"],
temperature=temperature)
chat_history.append((message,bot_message))
return "",chat_history
with gr.Blocks() as demo:
chatbot = gr.Chatbot(height=240) #visual param
msg = gr.Textbox(label='prompt')
with gr.Accordion(label="Advanced options",open=False):
model = gr.Radio(["MistralAI"])
system = gr.Textbox(label="System message", lines=2, value="A conversation between a user and an LLM-based AI assistant. The assistant gives helpful and honest answers.")
temperature = gr.Slider(label="temperature", minimum=0.1, maximum=1, value=0.7, step=0.1)
btn = gr.Button("Submit")
clear = gr.ClearButton(components=[msg,chatbot], value="Clear console")
btn.click(respond, inputs=[msg,chatbot,system,model,temperature], outputs=[msg, chatbot])
msg.submit(respond, inputs=[msg, chatbot,system,model,temperature], outputs=[msg, chatbot])
demo.queue(max_size=20).launch()