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File size: 686 Bytes
e8cc01c bdd0c15 e8cc01c 5c98715 bdd0c15 79fd528 edfbc1e bdd0c15 5c98715 edfbc1e 5c98715 edfbc1e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(message, history):
messages = [{"role": "system", "content": "You are a nice chatbot."}]
if history:
messages.extend(history)
messages.append({"role": "user", "content": message})
response = ""
for message in client.chat_completion(
messages,
max_tokens=500,
temperature=0.2,
top_p=0.9,
stream=True
):
token = message.choices[0].delta.content
response += token
yield response
chatbot = gr.ChatInterface(respond, type="messages")
chatbot.launch()
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