Update src/about.py

src/about.py

@@ -1,72 +1,33 @@
-from dataclasses import dataclass
-from enum import Enum
+# Report
 
-@dataclass
-class Task:
-    benchmark: str
-    metric: str
-    col_name: str
+## 1. 模型及类别选择
 
+本次实验选用了三类大模型：Llama 3, Mistral 7B, ChatGPT。
 
-# Select your tasks here
-# ---------------------------------------------------
-class Tasks(Enum):
-    # task_key in the json file, metric_key in the json file, name to display in the leaderboard 
-    task0 = Task("anli_r1", "acc", "ANLI")
-    task1 = Task("logiqa", "acc_norm", "LogiQA")
+- **Llama 3**：开源社区广泛使用，适合中英文任务。
+- **Mistral 7B**：轻量级，适合边缘设备。
+- **ChatGPT**：闭源，适合通用对话任务，表现最优。
 
-NUM_FEWSHOT = 0 # Change with your few shot
-# ---------------------------------------------------
+| 模型名称   | 参数量 | 开源情况 | 主要用途         |
+|------------|--------|---------|----------------|
+| Llama 3    | 70B    | 是      | 多语言任务       |
+| Mistral 7B | 7B     | 是      | 低功耗推理任务   |
+| ChatGPT    | 未公开 | 否      | 通用对话、推理任务 |
 
+**选择理由**：
+- Llama 3和Mistral为开源，方便定制与修改；
+- ChatGPT性能优越，作为基准。
 
+---
 
-# Your leaderboard name
-TITLE = """<h1 align="center" id="space-title">Demo leaderboard</h1>"""
+## 2. 系统实现细节
 
-# What does your leaderboard evaluate?
-INTRODUCTION_TEXT = """
-Intro text
-"""
+### Gradio交互界面截图
+![Gradio界面](https://huggingface.co/spaces/15cgggggfh/work1/blob/main/interface.png)
 
-# Which evaluations are you running? how can people reproduce what you have?
-LLM_BENCHMARKS_TEXT = f"""
-## How it works
-
-## Reproducibility
-To reproduce our results, here is the commands you can run:
-
-"""
-
-EVALUATION_QUEUE_TEXT = """
-## Some good practices before submitting a model
-
-### 1) Make sure you can load your model and tokenizer using AutoClasses:
-```python
-from transformers import AutoConfig, AutoModel, AutoTokenizer
-config = AutoConfig.from_pretrained("your model name", revision=revision)
-model = AutoModel.from_pretrained("your model name", revision=revision)
-tokenizer = AutoTokenizer.from_pretrained("your model name", revision=revision)
-```
-If this step fails, follow the error messages to debug your model before submitting it. It's likely your model has been improperly uploaded.
-
-Note: make sure your model is public!
-Note: if your model needs `use_remote_code=True`, we do not support this option yet but we are working on adding it, stay posted!
-
-### 2) Convert your model weights to [safetensors](https://huggingface.co/docs/safetensors/index)
-It's a new format for storing weights which is safer and faster to load and use. It will also allow us to add the number of parameters of your model to the `Extended Viewer`!
-
-### 3) Make sure your model has an open license!
-This is a leaderboard for Open LLMs, and we'd love for as many people as possible to know they can use your model 🤗
-
-### 4) Fill up your model card
-When we add extra information about models to the leaderboard, it will be automatically taken from the model card
-
-## In case of model failure
-If your model is displayed in the `FAILED` category, its execution stopped.
-Make sure you have followed the above steps first.
-If everything is done, check you can launch the EleutherAIHarness on your model locally, using the above command without modifications (you can add `--limit` to limit the number of examples per task).
-"""
-
-CITATION_BUTTON_LABEL = "Copy the following snippet to cite these results"
-CITATION_BUTTON_TEXT = r"""
-"""
+### 输入与输出流程图
+```mermaid
+graph TD
+    A[用户输入] --> B[Gradio界面]
+    B --> C[模型推理]
+    C --> D[返回结果]