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ffreemt
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Parent(s):
50f8511
Update examples_list
Browse files- .ruff.toml +3 -2
- app.py +38 -44
- examples_list.py +43 -0
.ruff.toml
CHANGED
@@ -8,10 +8,11 @@ line-length = 300
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select = ["F", "E", "W", "I001", "YTT", "D", "PLC"]
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# select = ["ALL"]
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# D103 Missing docstring in public function
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# D101 Missing docstring in public class
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# `multi-line-summary-first-line` (D212)
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# `one-blank-line-before-class` (D203)
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extend-ignore = ["D103", "D101", "D212", "D203"]
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exclude = [".venv"]
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select = ["F", "E", "W", "I001", "YTT", "D", "PLC"]
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# select = ["ALL"]
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# D100 Missing docstring in public module
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# D103 Missing docstring in public function
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# D101 Missing docstring in public class
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# `multi-line-summary-first-line` (D212)
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# `one-blank-line-before-class` (D203)
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extend-ignore = ["D100", "D103", "D101", "D212", "D203"]
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exclude = [".venv"]
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app.py
CHANGED
@@ -16,18 +16,31 @@ from ctransformers import AutoModelForCausalLM
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from dl_hf_model import dl_hf_model
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from loguru import logger
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url = "https://huggingface.co/TheBloke/llama-2-13B-Guanaco-QLoRA-GGML/blob/main/llama-2-13b-guanaco-qlora.ggmlv3.q4_K_S.bin" # 8.14G
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# Prompt template: Guanaco
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# {past_history}
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prompt_template = """You are a helpful assistant. Let's think step by step.
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### Human:
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{
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### Assistant:"""
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human_prefix = "### Human"
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ai_prefix = "### Assistant"
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stop_list = [f"{human_prefix}:"]
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_ = psutil.cpu_count(logical=False) - 1
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cpu_count: int = int(_) if _ else 1
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logger.debug(f"{cpu_count=}")
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@@ -36,8 +49,18 @@ LLM = None
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if "forindo" in platform.node():
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# url = "https://huggingface.co/TheBloke/llama-2-70b-Guanaco-QLoRA-GGML/blob/main/llama-2-70b-guanaco-qlora.ggmlv3.q3_K_S.bin" # 29.7G
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model_loc = "/home/mu2018/github/langchain-llama-2-70b-guanaco-qlora-ggml/models/llama-2-70b-guanaco-qlora.ggmlv3.q3_K_S.bin"
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assert Path(model_loc).exists(), f"Make sure {model_loc=} exists."
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else:
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try:
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model_loc, file_size = dl_hf_model(url)
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@@ -46,6 +69,8 @@ else:
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logger.error(exc_)
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raise SystemExit(1) from exc_
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logger.debug(f"{model_loc=}")
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LLM = AutoModelForCausalLM.from_pretrained(
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model_loc,
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@@ -53,7 +78,6 @@ LLM = AutoModelForCausalLM.from_pretrained(
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threads=cpu_count,
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)
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os.environ["TZ"] = "Asia/Shanghai"
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try:
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time.tzset() # type: ignore # pylint: disable=no-member
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@@ -98,12 +122,16 @@ logger.debug(f"{asdict(GenerationConfig())=}")
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def user(user_message, history):
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# return user_message, history + [[user_message, None]]
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history.append([user_message, None])
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return user_message, history # keep user_message
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def user1(user_message, history):
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# return user_message, history + [[user_message, None]]
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history.append([user_message, None])
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return "", history # clear user_message
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@@ -123,7 +151,11 @@ def bot_(history):
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def bot(history):
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user_message =
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response = []
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logger.debug(f"{user_message=}")
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@@ -203,51 +235,13 @@ css = """
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.disclaimer {font-variant-caps: all-small-caps; font-size: xx-small;}
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.xsmall {font-size: x-small;}
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"""
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etext = """In America, where cars are an important part of the national psyche, a decade ago people had suddenly started to drive less, which had not happened since the oil shocks of the 1970s. """
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examples_list = [
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["What NFL team won the Super Bowl in the year Justin Bieber was born?"],
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[
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"What NFL team won the Super Bowl in the year Justin Bieber was born? Think step by step."
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],
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["How to pick a lock? Provide detailed steps."],
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[
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"If it takes 10 hours to dry 10 clothes, assuming all the clothes are hanged together at the same time for drying , then how long will it take to dry a cloth?"
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],
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["is infinity + 1 bigger than infinity?"],
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["Explain the plot of Cinderella in a sentence."],
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[
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"How long does it take to become proficient in French, and what are the best methods for retaining information?"
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],
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["What are some common mistakes to avoid when writing code?"],
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["Build a prompt to generate a beautiful portrait of a horse"],
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["Suggest four metaphors to describe the benefits of AI"],
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["Write a pop song about leaving home for the sandy beaches."],
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["Write a summary demonstrating my ability to tame lions"],
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["鲁迅和周树人什么关系? 说中文。"],
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["鲁迅和周树人什么关系?"],
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["鲁迅和周树人什么关系? 用英文回答。"],
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["从前有一头牛,这头牛后面有什么?"],
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["正无穷大加一大于正无穷大吗?"],
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["正无穷大加正无穷大大于正无穷大吗?"],
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["-2的平方根等于什么?"],
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["树上有5只鸟,猎人开枪打死了一只。树上还有几只鸟?"],
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["树上有11只鸟,猎人开枪打死了一���。树上还有几只鸟?提示:需考虑鸟可能受惊吓飞走。"],
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["以红楼梦的行文风格写一张委婉的请假条。不少于320字。"],
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[f"{etext} 翻成中文,列出3个版本。"],
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[f"{etext} \n 翻成中文,保留原意,但使用文学性的语言。不要写解释。列出3个版本。"],
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["假定 1 + 2 = 4, 试求 7 + 8。"],
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["给出判断一个数是不是质数的 javascript 码。"],
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["给出实现python 里 range(10)的 javascript 码。"],
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["给出实现python 里 [*(range(10)]的 javascript 码。"],
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["Erkläre die Handlung von Cinderella in einem Satz."],
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["Erkläre die Handlung von Cinderella in einem Satz. Auf Deutsch."],
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]
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logger.info("start block")
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with gr.Blocks(
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title=f"{Path(model_loc).name}",
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theme=gr.themes.Soft(text_size="sm", spacing_size="sm"),
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css=css,
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) as block:
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# buff_var = gr.State("")
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from dl_hf_model import dl_hf_model
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from loguru import logger
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from .examples_list import examples_list
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url = "https://huggingface.co/TheBloke/llama-2-13B-Guanaco-QLoRA-GGML/blob/main/llama-2-13b-guanaco-qlora.ggmlv3.q4_K_S.bin" # 8.14G
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# Prompt template: Guanaco
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# {past_history}
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prompt_template = """You are a helpful assistant. Let's think step by step.
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### Human:
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{question}
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### Assistant:"""
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human_prefix = "### Human"
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ai_prefix = "### Assistant"
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stop_list = [f"{human_prefix}:"]
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prompt_template = """### System:
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You are Stable Beluga, an AI that follows instructions extremely well. Help as much as you can.
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### User: {question}
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### Assistant:
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"""
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human_prefix = "### User"
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ai_prefix = "### Assistant"
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stop_list = [f"{human_prefix}:"]
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_ = psutil.cpu_count(logical=False) - 1
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cpu_count: int = int(_) if _ else 1
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logger.debug(f"{cpu_count=}")
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if "forindo" in platform.node():
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# url = "https://huggingface.co/TheBloke/llama-2-70b-Guanaco-QLoRA-GGML/blob/main/llama-2-70b-guanaco-qlora.ggmlv3.q3_K_S.bin" # 29.7G
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# model_loc = "/home/mu2018/github/langchain-llama-2-70b-guanaco-qlora-ggml/models/llama-2-70b-guanaco-qlora.ggmlv3.q3_K_S.bin"
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model_loc = "models/stablebeluga2-70b.ggmlv3.q3_K_S.bin"
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assert Path(model_loc).exists(), f"Make sure {model_loc=} exists."
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_ = """
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url = "https://huggingface.co/TheBloke/StableBeluga2-70B-GGML/blob/main/stablebeluga2-70b.ggmlv3.q3_K_S.bin"
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try:
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model_loc, file_size = dl_hf_model(url)
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logger.info(f"done load llm {model_loc=} {file_size=}G")
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except Exception as exc_:
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logger.error(exc_)
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raise SystemExit(1) from exc_
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# """
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else:
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try:
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model_loc, file_size = dl_hf_model(url)
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logger.error(exc_)
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raise SystemExit(1) from exc_
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# raise SystemExit(0)
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logger.debug(f"{model_loc=}")
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LLM = AutoModelForCausalLM.from_pretrained(
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model_loc,
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threads=cpu_count,
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)
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os.environ["TZ"] = "Asia/Shanghai"
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try:
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time.tzset() # type: ignore # pylint: disable=no-member
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def user(user_message, history):
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# return user_message, history + [[user_message, None]]
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if history is None:
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history = []
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history.append([user_message, None])
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return user_message, history # keep user_message
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def user1(user_message, history):
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# return user_message, history + [[user_message, None]]
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if history is None:
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history = []
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history.append([user_message, None])
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return "", history # clear user_message
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def bot(history):
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user_message = ""
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try:
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user_message = history[-1][0]
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except Exception as exc:
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logger.error(exc)
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response = []
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logger.debug(f"{user_message=}")
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.disclaimer {font-variant-caps: all-small-caps; font-size: xx-small;}
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.xsmall {font-size: x-small;}
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"""
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logger.info("start block")
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with gr.Blocks(
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title=f"{Path(model_loc).name}",
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# theme=gr.themes.Soft(text_size="sm", spacing_size="sm"),
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theme=gr.themes.Glass(text_size="sm", spacing_size="sm"),
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css=css,
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) as block:
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# buff_var = gr.State("")
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examples_list.py
ADDED
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etext = """In America, where cars are an important part of the national psyche, a decade ago people had suddenly started to drive less, which had not happened since the oil shocks of the 1970s. """
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examples_list = [
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["What NFL team won the Super Bowl in the year Justin Bieber was born?"],
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[
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"What NFL team won the Super Bowl in the year Justin Bieber was born? Think step by step."
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],
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["How to pick a lock? Provide detailed steps."],
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[
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"If it takes 10 hours to dry 10 clothes, assuming all the clothes are hung together at the same time for drying , then how long will it take to dry a cloth?"
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],
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[
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"If it takes 10 hours to dry 10 clothes, assuming all the clothes are hung together at the same time for drying , then how long will it take to dry a cloth? Think step by step."
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],
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["is infinity + 1 bigger than infinity?"],
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["Explain the plot of Cinderella in a sentence."],
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[
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"How long does it take to become proficient in French, and what are the best methods for retaining information?"
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],
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["What are some common mistakes to avoid when writing code?"],
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["Build a prompt to generate a beautiful portrait of a horse"],
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+
["Suggest four metaphors to describe the benefits of AI"],
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+
["Write a pop song about leaving home for the sandy beaches."],
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+
["Write a summary demonstrating my ability to tame lions"],
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+
["鲁迅和周树人什么关系? 说中文。"],
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["鲁迅和周树人什么关系?"],
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+
["鲁迅和周树人什么关系? 用英文回答。"],
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["从前有一头牛,这头牛后面有什么?"],
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["正无穷大加一大于正无穷大吗?"],
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+
["正无穷大加正无穷大大于正无穷大吗?"],
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["-2的平方根等于什么?"],
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["树上有5只鸟,猎人开枪打死了一只。树上还有几只鸟?"],
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+
["树上有11只鸟,猎人开枪打死了一只。树上还有几只鸟?提示:需考虑鸟可能受惊吓飞走。"],
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["以红楼梦的行文风格写一张委婉的请假条。不少于320字。"],
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[f"Translate ths following to Chinese. List 2 variants: \n{etext}"],
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[f"{etext} 翻成中文,列出3个版本。"],
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[f"{etext} \n 翻成中文,保留原意,但使用文学性的语言。不要写解释。列出3个版本。"],
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["假定 1 + 2 = 4, 试求 7 + 8。"],
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["给出判断一个数是不是质数的 javascript 码。"],
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+
["给出实现python 里 range(10)的 javascript 码。"],
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+
["给出实现python 里 [*(range(10)]的 javascript 码。"],
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+
["Erkläre die Handlung von Cinderella in einem Satz."],
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+
["Erkläre die Handlung von Cinderella in einem Satz. Auf Deutsch."],
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+
]
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