In today's fast-paced work environment, meetings are essential for collaboration, brainstorming, and decision-making. However, they can also be time-consuming and often leave participants with more questions than answers. This is where OpenClaw comes in. OpenClaw is a powerful tool that utilizes AI to summarize meetings effectively, allowing you to focus on what truly matters. In this tutorial, we'll walk you through the steps to set up and use OpenClaw as a meeting summarizer. ## Prerequisites Before you begin, ensure that you have the following: 1. **OpenClaw Account**: Sign up for an OpenClaw account if you don't already have one. 2. **API Key**: Obtain your API key from the OpenClaw dashboard. 3. **Basic Programming Knowledge**: Familiarity with Python or JavaScript will be beneficial, as we will be using scripts to interact with OpenClaw. 4. **Audio Recording of a Meeting**: Have an audio file ready for summarization. This file should be in a supported format (e.g., MP3, WAV). ## Step-by-Step Instructions ### 1. Set Up Your Environment You will need to set up a development environment to access OpenClaw's API. - **Install Python**: If you don’t have Python installed, download it from [python.org](https://www.python.org/downloads/) and follow the installation instructions. - **Install Required Libraries**: Use pip to install the required libraries. ```bash pip install requests pydub ``` ### 2. Convert Your Audio File to Text Before summarization, you need to convert your audio recording into text. OpenClaw's API provides transcription capabilities, which we will use. Here’s a script to transcribe your audio file: ```python import requests def transcribe_audio(api_key, audio_file_path): url = "https://api.openclaw.com/v1/transcribe" headers = { 'Authorization': f'Bearer {api_key}', 'Content-Type': 'application/json', } with open(audio_file_path, 'rb') as audio_file: response = requests.post(url, headers=headers, data=audio_file) return response.json() api_key = 'YOUR_API_KEY' audio_file_path = 'path_to_your_audio_file.wav' transcription_result = transcribe_audio(api_key, audio_file_path) print(transcription_result.get('transcript')) ``` ### 3. Summarize the Transcription Now that you have the transcription, you can summarize it using OpenClaw's summarization capabilities. Here’s how you can implement this using a simple function. ```python def summarize_text(api_key, text): url = "https://api.openclaw.com/v1/summarize" headers = { 'Authorization': f'Bearer {api_key}', 'Content-Type': 'application/json', } payload = { "text": text, "summary_length": "short" # Options can be 'short', 'medium', or 'long' } response = requests.post(url, headers=headers, json=payload) return response.json() # Assuming 'transcription_result' contains the transcription text transcription_text = transcription_result.get('transcript') summary_result = summarize_text(api_key, transcription_text) print(summary_result.get('summary')) ``` ### 4. Combine It All Together You can combine the transcription and summarization functions into a single script. Here’s a complete example: ```python import requests def transcribe_audio(api_key, audio_file_path): url = "https://api.openclaw.com/v1/transcribe" headers = { 'Authorization': f'Bearer {api_key}', 'Content-Type': 'application/json', } with open(audio_file_path, 'rb') as audio_file: response = requests.post(url, headers=headers, data=audio_file) return response.json() def summarize_text(api_key, text): url = "https://api.openclaw.com/v1/summarize" headers = { 'Authorization': f'Bearer {api_key}', 'Content-Type': 'application/json', } payload = { "text": text, "summary_length": "short" } response = requests.post(url, headers=headers, json=payload) return response.json() def main(api_key, audio_file_path): transcription_result = transcribe_audio(api_key, audio_file_path) transcription_text = transcription_result.get('transcript') summary_result = summarize_text(api_key, transcription_text) print("Summary:\n", summary_result.get('summary')) # Execute the main function api_key = 'YOUR_API_KEY' audio_file_path = 'path_to_your_audio_file.wav' main(api_key, audio_file_path) ``` ### 5. Run Your Script Run your final script in your terminal or integrated development environment (IDE). Make sure to replace `'YOUR_API_KEY'` and `'path_to_your_audio_file.wav'` with your actual API key and audio file path. ```bash python your_script_name.py ``` ### 6. Review the Output The script will output a summary of your meeting, which you can review and share with your team. This summary will help everyone stay on the same page without needing to listen to the entire meeting again. ## Troubleshooting Tips - **Audio Quality**: Ensure that your audio recording is clear. Background noise can affect transcription accuracy. - **API Errors**: If you encounter errors while interacting with the API, check the response codes. Refer to the OpenClaw API documentation for details on error codes and their meanings. - **Text Limitations**: Be aware of any text length limitations that may be imposed by the API. If your transcription is too long, consider summarizing it into smaller chunks before sending it to OpenClaw. ## Next Steps Now that you've learned how to use OpenClaw as a meeting summarizer, you might want to explore the following topics: - **Integrating OpenClaw with Other Applications**: Learn how to connect OpenClaw with tools like Slack or Google Meet for automatic summarization. - **Advanced Summarization Techniques**: Discover how to customize summary lengths and styles to suit your needs. - **Error Handling in API Calls**: Understand how to implement robust error handling in API requests to ensure your application runs smoothly. By mastering these topics, you will enhance your productivity and make the most of your meetings!