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import gradio as gr
from huggingface_hub import InferenceClient
from deep_translator import GoogleTranslator
"""
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("HuggingFaceH4/zephyr-7b-beta")
translator_vi2en = GoogleTranslator(source='vi', target='en')
translator_en2vi = GoogleTranslator(source='en', target='vi')
def respond(
message,
history: list[tuple[str, str]],
system_message,
max_tokens,
temperature,
top_p,
):
message_en = translator_vi2en.translate(message)
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_en})
respnse = client.text_generation(
messages,
temperature=temperature,
top_p=top_p,
)
response_vi = translator_en2vi.translate(response)
return response_vi
"""
For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
"""
demo = gr.ChatInterface(
respond
)
if __name__ == "__main__":
demo.launch()
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