gemma3test / app.py
WillO70's picture
Fix
88cf5cf verified
import gradio as gr
from huggingface_hub import InferenceClient
"""
For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
"""
client = InferenceClient("google/gemma-3-27b-it")
global_prompt = "Please imagine that you are %(philosopher) and that you wish to converse in an entertaining and civilised way with a young student."
def respond(
message,
history: list[tuple[str, str]],
philosopher,
):
max_tokens = 512
temperature = 0.7
top_p = 0.95
system_message = global_prompt%{'philosopher':"the philosopher " + philosopher if philosopher!="Jesus" else philosopher}
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
yield response
def reset():
return [], []
"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
with gr.Blocks() as demo:
philosophers=gr.Dropdown(["Socrates",
"Plato",
"Aristotle",
"Jesus",
"Thomas Aquinas",
"Baruch Spinoza",
"John Stuart Mill",
"John Locke",
"Immanuel Kant",
"Jean-Jacques Rousseau",
"Thomas Paine",
"David Hume",
"Thomas Hobbes",
"Jeremy Bentham",
"Adam Smith",
"Edmund Burke",
"Georg Hegel",
"Arthur Schopenhauer",
"Karl Marx"], label="Philosophers", info="Please choose one", value="Socrates")
bot = gr.Chatbot(render=False)
chat = gr.ChatInterface(
respond,
chatbot = bot,
additional_inputs=[
philosophers,
]
# gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
# gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
# gr.Slider(
# minimum=0.1,
# maximum=1.0,
# value=0.95,
# step=0.05,
# label="Top-p (nucleus sampling)",
# ),
# ],
)
philosophers.input(reset, None, [bot, chat.chatbot_state], queue=False)
if __name__ == "__main__":
demo.launch()