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| from crazy_functions.json_fns.pydantic_io import GptJsonIO, JsonStringError | |
| from request_llms.bridge_all import predict_no_ui_long_connection | |
| def get_code_block(reply): | |
| import re | |
| pattern = r"```([\s\S]*?)```" # regex pattern to match code blocks | |
| matches = re.findall(pattern, reply) # find all code blocks in text | |
| if len(matches) == 1: | |
| return "```" + matches[0] + "```" # code block | |
| raise RuntimeError("GPT is not generating proper code.") | |
| def is_same_thing(a, b, llm_kwargs): | |
| from pydantic import BaseModel, Field | |
| class IsSameThing(BaseModel): | |
| is_same_thing: bool = Field(description="determine whether two objects are same thing.", default=False) | |
| def run_gpt_fn(inputs, sys_prompt, history=[]): | |
| return predict_no_ui_long_connection( | |
| inputs=inputs, llm_kwargs=llm_kwargs, | |
| history=history, sys_prompt=sys_prompt, observe_window=[] | |
| ) | |
| gpt_json_io = GptJsonIO(IsSameThing) | |
| inputs_01 = "Identity whether the user input and the target is the same thing: \n target object: {a} \n user input object: {b} \n\n\n".format(a=a, b=b) | |
| inputs_01 += "\n\n\n Note that the user may describe the target object with a different language, e.g. cat and 猫 are the same thing." | |
| analyze_res_cot_01 = run_gpt_fn(inputs_01, "", []) | |
| inputs_02 = inputs_01 + gpt_json_io.format_instructions | |
| analyze_res = run_gpt_fn(inputs_02, "", [inputs_01, analyze_res_cot_01]) | |
| try: | |
| res = gpt_json_io.generate_output_auto_repair(analyze_res, run_gpt_fn) | |
| return res.is_same_thing | |
| except JsonStringError as e: | |
| return False |