Sure, here's the translation of "Socratic Omni: A simple AI mathematician powered by LLM 🦉" in simplified Chinese while keeping the HTML structure: ```html 苏格拉底全知：由LLM驱动的简单人工智能数学家 🦉 ``` This HTML code ensures that the text "苏格拉底全知：由LLM驱动的简单人工智能数学家 🦉" is correctly displayed and identified as simplified Chinese text.

Certainly! Here's the translated text in simplified Chinese, keeping the HTML structure: ```html

通过这篇博客，我想突出我的项目 — Socratic Omni，它结合了教育和机器学习，帮助学生解决数学问题。这是整个实验的记录 — 从问题陈述的制定到结果分析。

``` In this HTML snippet: - `

` denotes a paragraph tag in HTML. - The Chinese text is inside the paragraph tag, preserving the structure of the original English sentence.

Sure, here is the translation of "Abstract💡" into simplified Chinese while maintaining HTML structure: ```html 摘要💡 ``` In this HTML snippet, `` indicates that the text inside is in simplified Chinese.

```html

Translate Text

人工智能正在改变我们生活的许多领域，数学也不例外。

在本文中，我们将看看如何构建一个能够解决各种几何问题的人工智能数学家。使用Streamlit提供用户友好的界面，以及GPT-4o提供背后的智慧，这个工具提供清晰、逐步的解决方案和令人惊叹的可视化，帮助您理解甚至最棘手的概念。

```

Sure, here is the translated text in simplified Chinese, keeping the HTML structure intact: ```html 我们将深入探讨其工作原理，从接收您的问题描述并进行数据处理，到展示易于理解的视觉辅助工具。此外，演示视频中的见解将展示其实际运行的魔力 — 实时解决问题，提供交互式元素，并提供全面的解决方案，使学习几何学变得有趣和引人入胜。 ``` This HTML structure ensures the translated Chinese text retains the formatting and structure for implementation in web contexts.

To translate the English text "Code: https://github.com/akshaybahadur21/Socratic" into simplified Chinese while keeping the HTML structure, you can use the `` tag for the link and the appropriate attributes. Here's how you can structure it: ```html

Code: https://github.com/akshaybahadur21/Socratic

``` And the translation into simplified Chinese: ```html

代码：https://github.com/akshaybahadur21/Socratic

``` This HTML structure preserves the link and translates the surrounding text "Code:" and "https://github.com/akshaybahadur21/Socratic" into simplified Chinese.

Certainly! The translation of "Preface 🖼️" in simplified Chinese while keeping the HTML structure intact would be: ```html

前言 🖼️

```

在您的支持下想象一位精通数学的专家——不仅可以解决您最具挑战性的问题，还能通过详细的解释和动态的可视化引导您完成每一步。这是通过将Streamlit（一个用于创建交互式 Web 应用程序的强大框架）与 GPT-4（OpenAI 最新和最先进的大型语言模型）集成实现的。

Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html

我们正处于人工智能发展的前沿，积极采纳大语言模型（LLM）和多模态人工智能能力的进步。GPT-4o 是这些进展的明证，能够以前所未有的准确度处理和生成类人文本。此外，多模态能力的整合使得这一工具不仅能够解释和生成文本，还能涵盖语言、图像和视频内容，弥合它们之间的差距。

``` This HTML snippet preserves the structure of the original text while providing the simplified Chinese translation.

Sure, here's the translated text in simplified Chinese, maintaining HTML structure: ```html 在本文中，我们将带领您从Socratic Omni的概念化到实现的全面旅程。您将看到它如何处理几何问题的自然语言描述，生成详细的解决方案，并采用复杂的可视化技术来增强理解。 ``` This HTML structure preserves the original text while allowing for display in a web environment.

To translate "Streamlit 🕯️" to simplified Chinese while keeping HTML structure, you can use the following code: ```html Streamlit 🕯️ ``` This HTML code preserves the structure while indicating that the emoji should be displayed as-is, assuming the browser supports it.

Sure, here is the translated text in simplified Chinese, while keeping the HTML structure intact: ```html Streamlit 是一个用于快速开发交互式Web应用程序的Python库。其简单性和易用性使其在数据科学家和机器学习工程师中流行，用于构建和共享数据驱动的应用程序。 ``` This HTML structure can be used directly in an HTML document to display the translated text.

Sure, here's the simplified Chinese translation of the provided text, while keeping the HTML structure intact: ```html

对于Socratic Omni，我们使用了streamlit-webrtc，这是Streamlit的一个扩展，可以在Streamlit应用程序中直接实现实时媒体处理功能。它利用了WebRTC（Web实时通信）协议，允许无缝集成音频和视频流功能。

```

Sure, the translation of "OpenAI GPT-4o 🤖" into simplified Chinese, keeping the HTML structure, would be: ```html OpenAI GPT-4o 🤖 ``` In simplified Chinese characters: ```html OpenAI GPT-4o 🤖 ``` Please note that emojis like 🤖 may not display uniformly across all systems or browsers.

To translate the provided English text into simplified Chinese while keeping the HTML structure, you can use the following: ```html

GPT-4 Omni模型（GPT-4o）将文本、视觉和音频处理整合为单一的、统一的模型，使其成为当前最先进的人工智能系统之一。以下是一些关键特点：

``` This HTML snippet ensures the translation is displayed correctly while preserving the structure of the text.

Sure, here's the translated text in simplified Chinese, while keeping the HTML structure intact: ```html 多模态集成：GPT-4o 处理和生成文本、视觉和音频内容，使其能够处理涉及多种输入类型的复杂任务。 ``` This HTML structure maintains the original text's integrity while providing the translation in simplified Chinese.
Sure, here is the translated text in simplified Chinese while maintaining the HTML structure: ```html 提升性能：在多语言任务、音频处理和视觉理解方面，它超越了先前的模型。它在诸如综合知识测试（MMLU）和图表M3Exam测试中设立了新的基准。 ``` This HTML structure keeps the text segmented and ensures clarity when presented on a webpage.
Sure, here is the translated text in simplified Chinese while maintaining the HTML structure: ```html
效率：GPT-4o 设计目的是比其前身快两倍，运行成本降低50％，采用新的标记器优化语言处理，减少内存需求和处理时间。
```
Here's the translation of the text into simplified Chinese while keeping the HTML structure: ```html 高级功能：在语音识别和翻译方面表现出色，GPT-4o 能够分辨音频中的情感细微差别，并解释复杂的视觉内容，包括面部表情和视频分析。 ```

Sure, here's the translation of "Mediapipe🚰" into simplified Chinese, keeping the HTML structure intact: ```html Mediapipe🚰 ``` In this HTML snippet, `🚰` represents the Unicode character for the water faucet emoji (🚰).

Sure, here is the translation of the text into simplified Chinese while keeping the HTML structure: ```html

Google的MediaPipe是一个领先的开源框架，改变了实时多模态解决方案的格局。提供了多种工具，从手部跟踪到姿势估计，MediaPipe赋予开发者能力，创建涵盖多个行业的沉浸式应用。其与TensorFlow的无缝集成、高效推断模型以及跨平台兼容性，使其成为从增强现实体验到健康与健身应用的首选项目。

``` This HTML code will display the translated text in simplified Chinese, maintaining the structure as requested.

Sure, here is the translated text in simplified Chinese, keeping the HTML structure intact: ```html MediaPipe的强大之处在于其能够处理跨多种模态的各种任务。对于Socratic Omni，我们将专注于手部跟踪模块。 ```

Sure, here's the translation of your text into simplified Chinese while keeping the HTML structure: ```html 手部跟踪：MediaPipe 的手部跟踪模块能够实时追踪视频流中的手部动作。这对于手势识别、手语翻译和虚拟触摸界面特别有用。 ``` In this HTML snippet: - `` tags are used to wrap each segment of text to maintain the structure. - English text is replaced with its corresponding simplified Chinese translation. This approach allows you to incorporate the translated text into an HTML document while preserving the original structure.

Sure, here's how you can structure the HTML to display "Previous Versions 🌴" in simplified Chinese: ```html Previous Versions

Previous Versions 🌴

``` This will display the text "Previous Versions 🌴" in the browser, keeping the HTML structure intact and setting the language to simplified Chinese (`zh-CN`).

在保持HTML结构的情况下，将以下英文文本翻译成简体中文：项目苏格拉底已经有过2次先前的发布：

```html
Socratic Solver: Socratic Solver uses Machine Learning to solve mathematical equations related to 2D shapes. The version provides a drawing board area and an equation writer area (marked in the green rectangle). The user can use the drawing board area to draw the geometrical shape, followed by writing the related equation in the writer area to solve the equation.
``` Translated to simplified Chinese: ```html
苏格拉底求解器：苏格拉底求解器利用机器学习来解决与二维形状相关的数学方程。该版本提供了一个绘图板区域和一个方程书写区域（用绿色矩形标记）。用户可以使用绘图板区域绘制几何形状，然后在书写区域书写相关方程以解决问题。
```

Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html
Socratic Plotter: 苏格拉底绘图仪

苏格拉底绘图仪利用机器学习来绘制与二维形状相关的数学方程。该版本提供了一个方程式编写区域（在绿色矩形中标记）。用户可以在编写区域中编写数学方程，以生成该二维形状的绘图。
``` This code snippet maintains the HTML structure and incorporates the translated text.

Sure, the simplified Chinese translation for "Inspiration 🖼️" while keeping the HTML structure intact would be: ```html 灵感 🖼️ ```

这个项目受到了谷歌、微软和OpenAI等公司多个基于人工智能的数学工具的启发。

Sure, here is the HTML structure with the translated text in simplified Chinese: ```html
Socratic by Google: Socratic by Google 是一个强大的教育工具，旨在帮助高中和大学的学生学习。该应用于2019年被谷歌收购，利用先进的人工智能技术，通过文字和语音识别来识别学生提出的问题，无论是通过键入还是拍摄作业照片。然后，它会搜索最相关的在线学习资源，提供详细的解释，并引导学生完成解决问题的过程。
``` In simplified Chinese: ```html
Socratic by Google: Socratic by Google 是一个强大的教育工具，旨在帮助高中和大学的学生学习。该应用于2019年被谷歌收购，利用先进的人工智能技术，通过文字和语音识别来识别学生提出的问题，无论是通过键入还是拍摄作业照片。然后，它会搜索最相关的在线学习资源，提供详细的解释，并引导学生完成解决问题的过程。
``` This HTML paragraph retains the original structure while presenting the text in simplified Chinese as requested.

```html
Microsoft Math Solver: Microsoft Math Solver利用先进的人工智能和机器学习技术，提供全面支持算术、代数、三角学、微积分等各类数学问题。用户可以通过键入问题、扫描手写笔记或拍摄印刷问题的照片来输入问题。Microsoft Math Solver随后处理这些输入，提供逐步解决方案，是理解数学概念和解决问题技巧的宝贵学习辅助工具。
``` This HTML structure contains the translated text in simplified Chinese as requested.

Sure, here is the simplified Chinese translation of the text while keeping the HTML structure intact: ```html Khanamigo by Khan Academy: Khanmigo 是由 Khan Academy 开发的 AI 动力导师，利用 GPT-4 提供个性化学习体验。集成了 Khan Academy 广泛的课程库，Khanmigo 提供上下文相关的帮助，引导学生解决问题，而不仅仅是提供答案。它支持包括数学、科学、人文和编程在内的广泛学科，是一款多功能的教育工具。 ``` This HTML snippet includes the translated text in simplified Chinese, maintaining the original structure of the text for integration into a web page or document.

Sure, the translation of "Modules 🔥" into simplified Chinese while keeping the HTML structure intact would be: ```html 模块 🔥 ``` In this translation: - "模块" means "Modules". - "🔥" is a Unicode character and remains the same because HTML can display Unicode characters directly without translation. So, the HTML code `
模块 🔥
` would display "模块 🔥" on the webpage.

在其核心，Socratic Omni利用摄像头、文本输入和机器学习算法的组合，分析用户通过网络摄像头绘制的数学问题，并生成解决该问题所需的正确步骤。这些能力通过一个系统化的流程实现，涵盖以下子模块：

Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html

关键点检测：Socratic Omni利用基于卷积神经网络的预训练MediaPipe Landmark模型。该模型接受来自网络摄像头的传入视频流（256 x 256像素的RGB值），并输出形状为[33, 5]的结果。这意味着检测到33个关键点，每个点都有对应的X、Y和Z坐标，以及可见性和存在性因素。

``` In this HTML snippet, the text "关键点检测：Socratic Omni利用基于卷积神经网络的预训练MediaPipe Landmark模型。该模型接受来自网络摄像头的传入视频流（256 x 256像素的RGB值），并输出形状为[33, 5]的结果。这意味着检测到33个关键点，每个点都有对应的X、Y和Z坐标，以及可见性和存在性因素。" is the translated version of the provided English text into simplified Chinese.

```html
LLM Knowledge：Socratic Omni使用先进的大型语言模型GPT-4o，经过广泛数据集训练，涵盖多个领域。这种深度训练使得LLMs在自然语言处理、语境理解和提供准确、相关答案方面表现卓越。通过支持广泛的学科，LLMs使得Socratic Omni成为一个多才多艺的教育工具。LLMs的互动和对话能力指导学生进行问题解决过程，增强他们的学习体验。随着LLMs的持续改进，像Socratic Omni这样的工具的能力也将得到提升，提供越来越有效和个性化的教育帮助。
```

Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html 多模态反馈：苏格拉底Omni项目利用多模态能力，使得人工智能不仅可以通过文本解释和回应查询，还可以分析用户在屏幕上绘制的视觉内容。通过结合这些不同的信息模式，苏格拉底Omni能够提供更准确和丰富上下文的帮助，从而增强学生的整体学习体验。 ``` This HTML preserves the structure while presenting the translated text in simplified Chinese.

Sure, here's the translated text in simplified Chinese, maintaining the HTML structure: ```html 实施 👨‍🔬 ``` In this snippet: - "实施" translates to "Implementation" in English. - `👨‍🔬` keeps the emoji "👨‍🔬" in its original form but specifies that its language is English (`lang="en"`).

To translate "Setup" into simplified Chinese while keeping the HTML structure intact, you can use the following: ```html 设置 ``` This HTML snippet ensures that the text "设置" (which means "Setup" in simplified Chinese) is correctly identified by browsers and other software as Chinese text, while maintaining the structure of your HTML document.

在保持HTML结构不变的情况下，将以下英文文本翻译为简体中文：运行 pip install requirements.txt 解决代码依赖。
在HTML结构中保持不变，将以下英文文本翻译为简体中文：运行 SocraticOmni.py 来启动 Streamlit 应用程序。
Sure, here is the text translated to simplified Chinese while keeping the HTML structure: ```html
启动一个网络浏览器并访问 https://localhost:8051 来启动Socratic Omni应用程序。
```
在源列表中选择网络摄像头，然后点击“开始”按钮以开始传输网络摄像头的视频。

Sure, here's the translation: ```html 执行 ```

python -m streamlit run SocraticOmni.py

Certainly! Here's how you could structure it in HTML and provide the translation to simplified Chinese: ```html Snippets ✂️

Snippets ✂

``` Translation in simplified Chinese: ```html 片段 ✂️

片段 ✂

``` In the HTML structure provided: - `` tag specifies the title of the webpage in both English and Chinese. - `<h1>` tag represents the main heading, containing the translated text "Snippets" and the scissors emoji. - The Chinese text "片段" (Pian Duan) translates to "Snippets" in English. - The scissors emoji "✂️" is represented using its HTML entity code `✂`. This structure maintains the HTML standards while presenting the content in both English and simplified Chinese.</h1> 在本节中，我们将深入探讨Python实现的关键方面。让我们从检查项目结构开始。 <pre>├── Socratic ├── .github ├── .streamlit ├── src ├── utils ├── MathUtils.py ├── streamlitUtils.py . . ├── HandDetector.py ├── MathModel.py ├── PlotModel.py ├── Plotter.py └── Vision.py ├── LICENSE ├── Socratic.py ├── SocraticOmni.py ├── requirements.txt └── Readme.md</pre> 记住，这个存储库还包含 Socratic 的两个传统版本 — Socratic Solver 和 Socratic Plotter。对于 Socratic Omni，代码的两个主要方面分别写在以下两个 Python 文件中： <ul> <li>To translate the given English text "src/utils/streamlitUtils.py: This contains all the utility and helper functions used for Socratic Omni." into simplified Chinese while keeping the HTML structure intact, you can use the following: ```html src/utils/streamlitUtils.py：这个文件包含了为Socratic Omni使用的所有实用程序和辅助函数。 ``` In this HTML snippet: - `` specifies that the contained text is in simplified Chinese. - The text inside the `` tags is the translation of the original English text. This way, the translation is embedded in an HTML structure, allowing it to be displayed and styled as part of a webpage or document. </li> <li>Certainly! Here's the HTML structure with the translated text in simplified Chinese: ```html SocraticOmni.py：这个Python文件包含了Streamlit应用程序的主要逻辑，该应用程序集成了OpenAI的GPT-4o和计算机视觉，创建了一个交互式教育工具。它采用WebRTC流媒体服务器来捕获实时视频，通过使用OpenCV的自定义手势检测器检测到的手势，实现了实时交互。 ``` In the above HTML snippet, the translated text in simplified Chinese is enclosed in `` tags, preserving the HTML structure. </li> </ul> Certainly! Here's the translation of the text into simplified Chinese while keeping the HTML structure: ```html 让我们现在来分析SocraticOmni.py文件，更好地理解这个应用程序的工作原理。 ```<h2>Certainly! Here's the translation of "Initial Setup" in simplified Chinese, while keeping the HTML structure: ```html </h2> 初始设置 ```这段代码显示了最初的设置，其中初始化了各种配置和依赖项： <pre>import queue from streamlit_webrtc import webrtc_streamer, WebRtcMode import av import base64 from src.utils.streamlitUtils import * image = set_streamlit_header() openai_client, detector, brush_thick, eraser_thick, rectKernel, options, counter_map, blkboard = set_basic_config() if 'contents' not in st.session_state: st.session_state['contents'] = [] border = False else: border = True if "messages" not in st.session_state: st.session_state.messages = []</pre> <ul> <li>在保持HTML结构的情况下，将以下英文文本翻译成简体中文：这段代码导入了必要的库和模块。</li> <li>To translate "The set_streamlit_header() function sets the Streamlit header." into simplified Chinese while keeping the HTML structure, you can use the following: ```html set_streamlit_header() 函数设置 Streamlit 标题。 ``` This HTML snippet maintains the structure and adds the translated text within `` tags, indicating it as a paragraph. </li> <li>Sure, here's the translation of the text into simplified Chinese while keeping the HTML structure: ```html set_basic_config() 初始化了几个重要的配置项，如 OpenAI 客户端、手部检测器和绘制参数。 ``` This HTML code can be directly used to display the translated text while maintaining the structure provided.</li> <li>在保持HTML结构的情况下，将以下英文文本翻译为简体中文：如果尚不存在，会话状态内容和消息将被初始化。</li> </ul> <h2>Sure, the translation of "Generating User Prompt" into simplified Chinese, while keeping the HTML structure intact, would be: ```html 生成用户提示 ```</h2> 在AI模型中生成用户提示的功能: <pre>def generate_user_prompt(): prompt = r""" #### User Prompt: - You are Socratic 🦉 - an LLM powered mathematician for humans. - You are given the figure of a geometrical structure with related inputs. - You have to find the area of the figure and mention the steps """ return prompt</pre> <h2>Sure, here's the translation in simplified Chinese while keeping the HTML structure: ```html 3. 帧处理的回调函数 ```</h2> Here is the simplified Chinese translation of the provided text, formatted within an HTML structure: ```html 这个回调函数用于使用OpenCV处理WebRTC流中的视频帧。它检测手势以在虚拟黑板上绘制或擦除。以下是代码关键部分的详细解释： ``` This HTML snippet preserves the structure while presenting the translated text in simplified Chinese.<pre>def callback(frame, xp=0, yp=0): img = frame.to_ndarray(format="bgr24") img = cv2.flip(img, 1) img = detector.find_hands(img) landmark_list = detector.find_position(img, draw=False) if len(landmark_list) != 0: _, x1, y1 = landmark_list[8] # Tip of Index Finger _, x2, y2 = landmark_list[12] # Tip of Middle Finger fingers = detector.fingers() # Code for sketching, rubbing on the virtual board # This snippet has been broken down to improve readibility. # Follow the next couple of sections where we break down the fuction. # Visit https://github.com/akshaybahadur21/Socratic/blob/main/SocraticOmni.py#L46-L108 for details return av.VideoFrame.from_ndarray(img, format="bgr24")</pre> Sure, here's the translation: 让我们分解上述提到的回调函数 To translate "3.1. Frame Preprocessing" into simplified Chinese while keeping the HTML structure, you can use the following: ```html 3.1. 帧预处理 ``` This HTML snippet ensures that the text "3.1. 帧预处理" appears in simplified Chinese, maintaining the numbering and structure as required. <pre>img = frame.to_ndarray(format="bgr24") img = cv2.flip(img, 1)</pre> 在保持HTML结构的情况下，将以下英文文本翻译为简体中文：将帧转换为BGR格式的NumPy数组，并水平翻转以创建镜像效果。 Sure, here is the text "3.2. Hand Detection" translated into simplified Chinese while keeping the HTML structure: ```html 3.2. 手部检测 ``` <pre>img = detector.find_hands(img) landmark_list = detector.find_position(img, draw=False)</pre> 使用手部检测器在图像中识别手部及其关键点。 Sure, here is the translation of "3.3. Gesture Detection" in simplified Chinese while keeping the HTML structure: ```html <h1>3.3. 手势检测</h1> ```<pre>if len(landmark_list) != 0: _, x1, y1 = landmark_list[8] # Tip of Index Finger _, x2, y2 = landmark_list[12] # Tip of Middle Finger fingers = detector.fingers()</pre> <ul> <li>在保持HTML结构的情况下，将以下英文文本翻译为简体中文：检查是否检测到地标并提取食指和中指尖的坐标。</li> <li>在使用 fingers 方法确定哪些手指被举起来。</li> </ul> To translate "3.4. Drawing and Erasing Logic" into simplified Chinese while keeping the HTML structure, you can use the following: ```html 3.4. 绘制与擦除逻辑 ``` This maintains the numbering and the structure typically found in technical documentation. <pre>if len(fingers) == 5: if fingers[1] == 1 and fingers[2] == 1 and fingers[0] == 0 and fingers[3] == 0 and fingers[4] == 0: cv2.rectangle(img, (x1 - 25, y1 - 25), (x2 + 25, y2 + 25), (0, 0, 255), cv2.FILLED) if xp == 0 and yp == 0: xp, yp = x1, y1 cv2.line(blkboard, (xp, yp), (x1, y1), (0, 0, 0), eraser_thick) counter_map["go"] = 0 xp, yp = x1, y1 elif fingers[1] == 1 and fingers[0] == 0 and fingers[2] == 0 and fingers[3] == 0 and fingers[4] == 0: cv2.circle(img, (x1, y1), 15, (255, 0, 255), cv2.FILLED) counter_map["go"] = 0 if xp == 0 and yp == 0: xp, yp = x1, y1 cv2.line(blkboard, (xp, yp), (x1, y1), (0, 255, 0), brush_thick) xp, yp = x1, y1</pre> 在HTML结构中保持不变，将以下英文文本翻译为简体中文：识别特定手势以执行绘制和擦除操作： <ul> <li>当食指和中指竖起，其他手指下压时，它在黑板上画出一个矩形并擦除。</li> <li>Sure, here is the text translated into simplified Chinese while keeping the HTML structure: ```html 当只有食指竖起时，它画一个圆圈并在黑板上写字。 ``` In this HTML snippet: - `` represents a paragraph tag. - `当只有食指竖起时，它画一个圆圈并在黑板上写字。` is the translated text. </li> </ul> Sure, here's the translated text in simplified Chinese, keeping the HTML structure intact: ```html 3.5. 处理黑板内容的手势 ``` <pre>elif fingers[0] == 1 and fingers[1] == 0 and fingers[2] == 0 and fingers[3] == 0 and fingers[4] == 0: xp, yp = 0, 0 blackboard_gray = cv2.cvtColor(blkboard, cv2.COLOR_RGB2GRAY) blur1 = cv2.medianBlur(blackboard_gray, 15) blur1 = cv2.GaussianBlur(blur1, (5, 5), 0) thresh1 = cv2.threshold(blur1, 0, 255, cv2.THRESH_BINARY + cv2.THRESH_OTSU)[1] blackboard_cnts, _ = cv2.findContours(thresh1.copy(), cv2.RETR_EXTERNAL, cv2.CHAIN_APPROX_SIMPLE) if len(blackboard_cnts) >= 1: bounding_boxes = [] for cnt in sorted(blackboard_cnts, key=cv2.contourArea, reverse=True): if cv2.contourArea(cnt) > 800: x, y, w, h = cv2.boundingRect(cnt) bounding_boxes.append((x, y)) bounding_boxes.append((x + w, y + h)) box = cv2.minAreaRect(np.asarray(bounding_boxes)) (x1, y1), (x2, y2), (x3, y3), (x4, y4) = cv2.boxPoints(box) a1 = min(x1, x2, x3, x4) a2 = max(x1, x2, x3, x4) b1 = min(y1, y2, y3, y4) b2 = max(y1, y2, y3, y4) cv2.rectangle(img, (int(a1), int(b1)), (int(a2), int(b2)), (0, 255, 0), 2) digit = blackboard_gray counter_map["go"] += 1 if counter_map["go"] > 20: result_queue.put(True) counter_map["go"] = 0 cv2.imwrite("math.png", digit)</pre> Sure, here's the text translated into simplified Chinese while keeping the HTML structure: ```html 当只有大拇指向上时，它处理黑板内容： ``` This HTML snippet preserves the structure and includes the translated text in simplified Chinese. <ul> <li>在保持HTML结构的情况下，将以下英文文本翻译成简体中文：将黑板转换为灰度并应用中值和高斯模糊。</li> <li>Sure, here is the simplified Chinese translation of the text while maintaining HTML structure: ```html 它使用阈值处理创建二值图像，并找到绘制内容的轮廓。 ``` This HTML snippet preserves the structure while displaying the translated text in simplified Chinese.</li> <li>在HTML结构中，将以下英文文本翻译成简体中文：绘制一个围绕最大轮廓的边界矩形，并将检测到的区域处理为数字。</li> <li>Sure, here is the text translated into simplified Chinese while keeping the HTML structure intact: ```html 如果手势保持足够长时间，将处理后的图像保存为“math.png”并向结果队列发送信号。 ``` This translation maintains the structure needed for HTML while conveying the intended message in simplified Chinese.</li> </ul> Sure, the simplified Chinese translation of "3.6. Updating the Blackboard and Final Output" while keeping the HTML structure would be: ```html 3.6. 更新黑板和最终输出 ``` <pre>else: xp, yp = 0, 0 counter_map["go"] = 0 gray = cv2.cvtColor(blkboard, cv2.COLOR_BGR2GRAY) _, inv = cv2.threshold(gray, 50, 255, cv2.THRESH_BINARY_INV) if img.shape[0] == 720 and img.shape[1] == 1280: inv = cv2.cvtColor(inv, cv2.COLOR_GRAY2BGR) img = cv2.bitwise_and(img, inv) img = cv2.bitwise_or(img, blkboard) return av.VideoFrame.from_ndarray(img)</pre> <ul> <li>在没有检测到特定手势时，重置绘图坐标。</li> <li>将黑板转换为灰度，反转颜色，并与当前视频帧混合。</li> <li>确保最终图像的分辨率正确，并将其作为视频帧返回。</li> </ul> <h2>Sure, here is the text "Setting up the WebRTC Streamer" translated into simplified Chinese, while keeping the HTML structure: ```html <h1>设置WebRTC流媒体器</h1> ```</h2> Sure, here is the translation of the phrase "This section sets up the WebRTC streamer for video input and processing" in simplified Chinese, while keeping the HTML structure intact: ```html 这一部分设置了用于视频输入和处理的WebRTC流媒体器： ``` You can directly use this within your HTML document for displaying the translated text. <pre>with col1: with st.container(height=590): ctx = webrtc_streamer(key="socratic", mode=WebRtcMode.SENDRECV, async_processing=True, rtc_configuration={ "iceServers": [{"urls": ["stun:stun.l.google.com:19302"]}] }, video_frame_callback=callback, media_stream_constraints={"video": {"width": {"ideal": 1280, "min": 1280}, "height": {"ideal": 720, "min": 720}}, "audio": False, } )</pre> <ul> <li>这段代码在Streamlit容器中创建了一个WebRTC流媒体传输器。</li> <li>Sure, here's the translated text in simplified Chinese while keeping the HTML structure: ```html 它配置流媒体服务器以发送和接收视频帧，异步处理它们，并使用 STUN 服务器进行网络遍历。 ```</li> <li>Sure, here's the translation in simplified Chinese, keeping the HTML structure: ```html 回调函数处理每一帧视频，处理应用程序的核心图像处理功能。有关回调函数的详细信息，请参阅第3节。回调函数 ``` This HTML snippet will display the translated text in a structured manner on a webpage.</li> </ul> <h2>Sure, here's the text translated into simplified Chinese while keeping the HTML structure: ```html 5. 显示聊天内容和处理用户输入 ``` This HTML snippet maintains the structure while presenting the translated text in simplified Chinese.</h2> 这部分负责显示聊天界面并处理用户输入： <pre>with col2: if ctx is not None: with st.container(height=532): col1, col2, col3 = st.columns([4, 2, 4]) with col1: st.write(' ') with col2: st.markdown("""## Socratic""") with col3: st.write(' ') while ctx.state.playing: try: chat = None result = None try: result = result_queue.get(timeout=1.0) except queue.Empty: result = False chat_queue = st.session_state['contents'] if len(chat_queue) > 0: chat = chat_queue[-1] if result and chat is None: with st.chat_message("user", avatar="👩‍🚀"): st.write_stream(response_generator(prompt, 0.01)) col1, col2, col3 = st.columns([2, 3, 3]) with col1: st.write(' ') with col2: st.image('math.png', width=300, caption='Image submitted by user') with col3: st.write(' ') st.session_state.messages.append({"role": "user", "content": chat}) st.session_state['contents'] = [] with st.chat_message("assistant", avatar="🦉"): base64_image = encode_image("math.png") stream = openai_client.chat.completions.create( model=st.session_state["openai_model"], messages=[ {"role": "system", "content": "You are a helpful assistant that responds in Markdown. Help me with my math homework!"}, {"role": "user", "content": [ {"type": "text", "text": f"Here is a follow-up prompt for the image you submitted: {chat}"}, {"type": "image_url", "image_url": { "url": f"data:image/png;base64,{base64_image}"} } ]} ], stream=True, ) response = st.write_stream(stream) st.session_state.messages.append({"role": "assistant", "content": response}) except queue.Empty: result = None</pre> <ul> <li>在WebRTC上下文活跃时，它会检查新的结果和聊天消息，并相应地处理它们。</li> <li>Sure, here is the translated text in simplified Chinese, formatted in an HTML structure: ```html 当检测到新的聊天消息时，显示用户输入并将提示提交给OpenAI API以获取响应。 ``` This HTML structure preserves the translated text while ensuring it can be integrated into a web page if needed.</li> <li>Sure, here is the translated text in simplified Chinese while keeping the HTML structure: ```html 助理的回复随后会被处理并显示在聊天界面中。 ``` This text translates to: "The assistant's response is then processed and displayed in the chat interface."</li> </ul> <h2>在保留HTML结构的情况下，将英文文本 "6. Generating the Follow-up Prompts" 翻译成简体中文。</h2> Sure, here is the text translated to simplified Chinese while keeping the HTML structure: ```html 这部分为用户添加了一个输入框，用于输入后续提示： ``` <pre>with st.container(border=False): with st.container(): prompt = st.chat_input(placeholder="Follow-up prompt for 🦉", key='content', on_submit=chat_content) if prompt is not None: chat_queue.append(prompt)</pre> <ul> <li>在保留HTML结构的情况下，将以下英文文本翻译为简体中文：这段代码创建了一个输入框，供用户提交后续问题给AI助手。</li> <li>Sure, here's the translated text in simplified Chinese while keeping the HTML structure intact: ```html 当提示被提交时，它将被添加到聊天队列进行处理。 ``` This HTML structure maintains the text content while allowing it to be displayed in a web context.</li> </ul> 请查看下面的完整演示： <figure class="or os ot ou ov ow oo op paragraph-image"><div class="oo op py"><picture><img alt="" class="be lp pb c" width="690" height="388" loading="lazy" role="presentation" src="/posts/1%24OUmzBh9x1U-V8ihIRaIDQw.gif"></picture></div> <figcaption class="pc fc pd oo op pe pf bc b bd z dr">Socratic Omni in Action</figcaption></figure><h1>结论 ✨</h1> Sure, here is the translated text in simplified Chinese, maintaining HTML structure: ```html The Socratic Omni项目代表了教育技术的重大进步。它将大型语言模型（LLMs），如GPT-4o的强大功能与多模态功能结合，提供全面的互动学习体验。通过利用先进的自然语言处理和解释文本和图像的能力，Socratic Omni提供个性化、准确和具有上下文相关性的帮助，使学习变得更加互动和易于访问。 ``` This HTML snippet contains the translated text in simplified Chinese, suitable for embedding into a webpage.Sure, here is the translated text in simplified Chinese, while maintaining HTML structure: ```html 这个项目不仅提升了优质教育的可及性，还培养了学生更深层次的理解和批判性思维。随着人工智能技术的不断发展，像苏格拉底全知（Socratic Omni）这样的教育工具进一步创新的潜力有望改变学生学习和参与学习的方式，为更加光明和知情的未来铺平道路。 ``` This HTML snippet preserves the text content while allowing it to be integrated into a web page structure.<h1>Sure, here's the translation of "References 🌟" in simplified Chinese while keeping the HTML structure intact: ```html 参考文献 🌟 ``` In this translation: - `` is used to wrap the text "参考文献 🌟". - "参考文献" means "References" in Chinese. - "🌟" remains unchanged as it's a Unicode character and can be displayed in HTML. </h1> <ul> <li>To translate "Socratic - Get unstuck. Learn better: Socratic by Google" into simplified Chinese while keeping the HTML structure, you can use the following: ```html 苏格拉底 - 摆脱困境。学得更好：Google 出品的苏格拉底 ``` This HTML snippet ensures that the Chinese text is properly marked as simplified Chinese using the `lang="zh-CN"` attribute.</li> <li>Sure, here is the translation of "Hello GPT-4o: OpenAI" in simplified Chinese while maintaining the HTML structure: ```html 你好，GPT-4o：OpenAI ```</li> <li>在保持HTML结构的前提下，将英文文本 "Streamlit • A faster way to build and share data apps" 翻译成简体中文，可以这样写： ```html Streamlit • 一种更快速地构建和分享数据应用的方法 ``` 请注意，这段文本已经按照HTML的语法准备好，可以直接插入网页中使用。</li> <li>To translate "Streamlit-webrtc — by Whitephx" into simplified Chinese while keeping HTML structure, you can use the following: ```html Streamlit-webrtc — by Whitephx ``` This HTML snippet ensures that the text is marked as Chinese (simplified) language for proper rendering and interpretation by browsers and other software.</li> </ul> Sure, here's the translated text in simplified Chinese: 用 ❤️ 和 🦉 制作，作者是 Akshay

Sure, here is the translation of "Abstract💡" into simplified Chinese while maintaining HTML structure: ```html 摘要💡 ``` In this HTML snippet, `` indicates that the text inside is in simplified Chinese.

人工智能正在改变我们生活的许多领域，数学也不例外。

Certainly! The translation of "Preface 🖼️" in simplified Chinese while keeping the HTML structure intact would be: ```html

To translate "Streamlit 🕯️" to simplified Chinese while keeping HTML structure, you can use the following code: ```html Streamlit 🕯️ ``` This HTML code preserves the structure while indicating that the emoji should be displayed as-is, assuming the browser supports it.

Sure, the translation of "OpenAI GPT-4o 🤖" into simplified Chinese, keeping the HTML structure, would be: ```html OpenAI GPT-4o 🤖 ``` In simplified Chinese characters: ```html OpenAI GPT-4o 🤖 ``` Please note that emojis like 🤖 may not display uniformly across all systems or browsers.

Sure, here's the translation of "Mediapipe🚰" into simplified Chinese, keeping the HTML structure intact: ```html Mediapipe🚰 ``` In this HTML snippet, `🚰` represents the Unicode character for the water faucet emoji (🚰).

Sure, here's how you can structure the HTML to display "Previous Versions 🌴" in simplified Chinese: ```html Previous Versions

Previous Versions 🌴

Socratic Plotter: 苏格拉底绘图仪

Sure, the simplified Chinese translation for "Inspiration 🖼️" while keeping the HTML structure intact would be: ```html 灵感 🖼️ ```

Sure, here's the translation: ```html 执行 ```

Certainly! Here's how you could structure it in HTML and provide the translation to simplified Chinese: ```html Snippets ✂️

Snippets ✂

片段 ✂

如何与GPT聊天而不会意外被认为是机器人

LLM申请架构

在2024年使用FastAPI创建由LLM驱动的API

ChatGPT Mega Prompt To Apply Feynman Technique ChatGPT 超级提示应用费曼技巧

揭开人工智能的力量：穿越 ALX AiCE - AI 职业要点的第一周。

AI: 每周总结。RTZ #395

双子座对决ChatGPT：哪个更适合文案写作？

不确定我的认识谦逊

Sure, here is the translation of "Explore AskToPDF now: Your AI-powered PDF Chat Companion" into simplified Chinese: 现在探索AskToPDF：您的人工智能PDF聊天助手

超级加速您的React开发：Chakra UI完全指南