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from huggingface_hub import InferenceAPI
from urllib.parse import urlparse, parse_qs
import gradio as gr
api = InferenceAPI("mistralai/Mistral-7B-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, temperature=0.9, max_new_tokens=256, top_p=0.95, repetition_penalty=1.0):
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(prompt, history)
response = api.generate_text(formatted_prompt, **generate_kwargs)
return response
def chatbot(message):
history = []
response = generate(message, history)
history.append(("User", message))
history.append(("ChatBot", response))
return response
def get_message_from_url():
url = urlparse(gradio.Interface.get_share_url())
query_params = parse_qs(url.query)
if "message" in query_params:
return query_params["message"][0]
return ""
message = get_message_from_url()
inputs = gr.inputs.Textbox(lines=2, placeholder="Type your message here...", initial_message=message)
outputs = gr.outputs.Textbox()
title = "Mistral 7B Chatbot"
description = "Chat with Mistral 7B, a powerful language model!"
gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title=title, description=description).launch() |