Spaces:
Sleeping
Sleeping
File size: 1,731 Bytes
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import gradio as gr
from huggingface_hub import InferenceClient
import spaces
# Importar spaces para ZeroGPU
client = InferenceClient("xezpeleta/latxa-7b-v1-gguf")
@spaces.GPU # Añadir el decorador para ZeroGPU
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
yield response
# Configurar la interfaz
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Textbox(
value="Euskarazko laguntzaile adimentsua zara.",
label="Sistema mezua"
),
gr.Slider(
minimum=1,
maximum=2048,
value=512,
step=1,
label="Token maximoak"
),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.7,
step=0.1,
label="Temperatura"
),
gr.Slider(
minimum=0.1,
maximum=1.0,
value=0.95,
step=0.05,
label="Top-p"
),
],
title="Latxa LLM Chatbot"
)
if __name__ == "__main__":
demo.launch()
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