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import gradio as gr
from huggingface_hub import InferenceClient
import re
from config.prompts import GUIDE_PERSONA, TIME_PERIODS
from models.state import TimelineState
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
timeline_state = TimelineState()
def get_system_message():
current_period = TIME_PERIODS[timeline_state.get_current_period()]
return GUIDE_PERSONA.format(
time_period=f"{current_period['name']} ({current_period['year']})"
)
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
messages = [{"role": "system", "content": system_message}]
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": 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
# Check for timeline shift marker
if '[TIMELINE_SHIFT:' in response:
match = re.search(r'\[TIMELINE_SHIFT:(\w+)\]', response)
if match:
period = match.group(1)
if period in TIME_PERIODS:
timeline_state.visit_period(period)
# Remove the marker from response
response = response.replace(match.group(0), '')
yield response
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(value=get_system_message(), label="System message"),
gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=4.0, value=0.9, step=0.1, label="Temperature"),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p (nucleus sampling)",
),
],
title="TimeVoyager: Your Time Travel Guide",
description="Chat with your time travel guide to explore different historical periods! Express your interest in any era, and they'll help you visit it."
)
if __name__ == "__main__":
demo.launch() |