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| import gradio as gr | |
| import aiohttp | |
| import os | |
| import json | |
| from collections import deque | |
| TOKEN = os.getenv("HUGGINGFACE_API_TOKEN") | |
| if not TOKEN: | |
| raise ValueError("API token is not set. Please set the HUGGINGFACE_API_TOKEN environment variable.") | |
| memory = deque(maxlen=10) | |
| async def respond( | |
| message, | |
| history: list[tuple[str, str]], | |
| system_message="AI Assistant Role", | |
| max_tokens=512, | |
| temperature=0.7, | |
| top_p=0.95, | |
| ): | |
| system_prefix = "System: ์ ๋ ฅ์ด์ ์ธ์ด(์์ด, ํ๊ตญ์ด, ์ค๊ตญ์ด, ์ผ๋ณธ์ด ๋ฑ)์ ๋ฐ๋ผ ๋์ผํ ์ธ์ด๋ก ๋ต๋ณํ๋ผ." | |
| full_system_message = f"{system_prefix}{system_message}" | |
| memory.append((message, None)) | |
| messages = [{"role": "system", "content": full_system_message}] | |
| for val in memory: | |
| if val[0]: | |
| messages.append({"role": "user", "content": val[0]}) | |
| if val[1]: | |
| messages.append({"role": "assistant", "content": val[1]}) | |
| headers = { | |
| "Authorization": f"Bearer {TOKEN}", | |
| "Content-Type": "application/json" | |
| } | |
| payload = { | |
| "model": "mistralai/Mistral-Nemo-Instruct-2407", | |
| "max_tokens": max_tokens, | |
| "temperature": temperature, | |
| "top_p": top_p, | |
| "messages": messages, | |
| "stream": True | |
| } | |
| async with aiohttp.ClientSession() as session: | |
| async with session.post("https://api-inference.huggingface.co/v1/chat/completions", headers=headers, json=payload) as response: | |
| try: | |
| async for chunk in response.content: | |
| if chunk: | |
| chunk_data = chunk.decode('utf-8') | |
| response_json = json.loads(chunk_data) | |
| if "choices" in response_json: | |
| content = response_json["choices"][0]["message"]["content"] | |
| yield content | |
| except json.JSONDecodeError: | |
| pass | |
| except StopAsyncIteration: | |
| pass | |
| finally: | |
| pass # ์คํธ๋ฆผ ์ข ๋ฃ ์ ์๋ฌด๊ฒ๋ ํ์ง ์์ | |
| if __name__ == "__main__": | |
| demo.launch() |