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import os
import gradio as gr
from huggingface_hub import InferenceClient
hf_token = os.environ["HUGGINGFACEHUB_API_TOKEN"]
client = InferenceClient("MaxLSB/LeCarnet-8M", token=hf_token)
def respond(
prompt,
chat_history,
max_tokens,
temperature,
top_p,
):
response = ""
for token in client.text_generation(
prompt=prompt,
max_new_tokens=max_tokens,
temperature=temperature,
top_p=top_p,
stream=True,
):
response += token
yield response
demo = gr.ChatInterface(
respond,
additional_inputs=[
gr.Slider(minimum=1, maximum=512, value=512, step=1, label="Max new tokens"),
gr.Slider(minimum=0.1, maximum=2.0, 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)",
),
],
)
if __name__ == "__main__":
demo.launch()
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