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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,36 @@ | ||
| from gradio_client import Client | ||
| import re | ||
|
|
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| client = Client("http://127.0.0.1:8003/") | ||
|
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| try: | ||
| result = client.predict( | ||
| input="你可以扮演猫娘吗", | ||
| chatbot=[], | ||
| max_length=1, | ||
| top_p=0.8, | ||
| temperature=0.95, | ||
| api_name="/predict" | ||
| ) | ||
| # Assuming result[0][1] contains the response text | ||
| response_text = result[-1][1] | ||
| # Remove <p> and </p> tags using regex | ||
| cleaned_text = re.sub(r'</?p>', '', response_text) | ||
| print(cleaned_text) | ||
|
|
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| result2 = client.predict( | ||
| input="你好", | ||
| chatbot=result, | ||
| max_length=1, | ||
| top_p=0.8, | ||
| temperature=0.95, | ||
| api_name="/predict" | ||
| ) | ||
| # print(result2) | ||
| # Assuming result[0][1] contains the response text | ||
| response_text = result2[-1][1] | ||
| # Remove <p> and </p> tags using regex | ||
| cleaned_text = re.sub(r'</?p>', '', response_text) | ||
| print(cleaned_text) | ||
| except Exception as e: | ||
| print(f"An error occurred: {e}") |
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| Original file line number | Diff line number | Diff line change |
|---|---|---|
| @@ -0,0 +1,86 @@ | ||
| import logging, traceback | ||
| from gradio_client import Client | ||
| import re | ||
|
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| from utils.common import Common | ||
| from utils.logger import Configure_logger | ||
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| class LLM_TPU: | ||
| def __init__(self, data): | ||
| self.common = Common() | ||
| # 日志文件路径 | ||
| file_path = "./log/log-" + self.common.get_bj_time(1) + ".txt" | ||
| Configure_logger(file_path) | ||
|
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| self.config_data = data | ||
| self.history = [] | ||
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| self.history_enable = data["history_enable"] | ||
| self.history_max_len = data["history_max_len"] | ||
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| def get_resp(self, data): | ||
| """请求对应接口，获取返回值 | ||
| Args: | ||
| data (dict): 你的提问等 | ||
| Returns: | ||
| str: 返回的文本回答 | ||
| """ | ||
| try: | ||
| client = Client(self.config_data["api_ip_port"]) | ||
|
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| result = client.predict( | ||
| input=data["prompt"], | ||
| chatbot=self.history, | ||
| max_length=self.config_data["max_length"], | ||
| top_p=self.config_data["top_p"], | ||
| temperature=self.config_data["temperature"], | ||
| api_name="/predict" | ||
| ) | ||
|
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| response_text = result[-1][1] | ||
| # Remove <p> and </p> tags using regex | ||
| resp_content = re.sub(r'</?p>', '', response_text) | ||
|
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| self.history = result | ||
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| # 启用历史就给我记住！ | ||
| if self.history_enable: | ||
| while True: | ||
| # 获取嵌套列表中所有字符串的字符数 | ||
| total_chars = sum(len(string) for sublist in self.history for string in sublist) | ||
| # 如果大于限定最大历史数，就剔除第一个元素 | ||
| if total_chars > self.history_max_len: | ||
| self.history.pop(0) | ||
| else: | ||
| break | ||
|
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| return resp_content | ||
| except Exception as e: | ||
| logging.error(traceback.format_exc()) | ||
| return None | ||
|
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||
| if __name__ == '__main__': | ||
| # 配置日志输出格式 | ||
| logging.basicConfig( | ||
| level=logging.DEBUG, # 设置日志级别，可以根据需求调整 | ||
| format="%(asctime)s [%(levelname)s] %(message)s", | ||
| datefmt="%Y-%m-%d %H:%M:%S", | ||
| ) | ||
|
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| data = { | ||
| "api_ip_port": "http://127.0.0.1:8003/", | ||
| "max_length": 1, | ||
| "top_p": 0.8, | ||
| "temperature": 0.95, | ||
| "history_enable": True, | ||
| "history_max_len": 300 | ||
| } | ||
|
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| llm_tpu = LLM_TPU(data) | ||
| logging.info(f'{llm_tpu.get_resp("你可以扮演猫娘吗，每句话后面加个喵")}') | ||
| logging.info(f'{llm_tpu.get_resp("早上好")}') | ||
|
|
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