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import gradio as gr
from huggingface_hub import InferenceClient
client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
def respond(message, history: list[tuple[str, str]]):
system_message = "Answer only in Bisaya language. If user enters english reject it in bisaya language. Don't prompt any english words unless there's no direct translation."
max_tokens = 4096
temperature = 0.6
top_p = 0.95
messages = [{"role": "system", "content": system_message}]
for user_text, assistant_text in history:
if user_text:
messages.append({"role": "user", "content": user_text})
if assistant_text:
messages.append({"role": "assistant", "content": assistant_text})
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
demo = gr.ChatInterface(respond)
if __name__ == "__main__":
demo.launch()
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