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I would expect the output to be 5 sentences. Or when running "video_summarize_micro" something short.
Not sure how much of this is needed but:
ollama version is 0.5.7
deepseek-r1:latest 0a8c26691023
Mac 14.6
fabric v1.4.130
Version check
Yes I was.
Relevant log output
fabric -p create_5_sentence_summary -y https://www.youtube.com/watch\?v\=UbDyjIIGaxQ
<think>
Okay, so I'm trying to wrap my head around this whole fabric project and how it's going to help me in my daily life. From what I gather, Fabric is some kind of AI-powered tool that helps organize thoughts, notes, and even do some creative stuff like transcription or summarization. But honestly, there's a lot here to unpack.First off, the user mentioned using Fabric for organizing journal entries by transcribing conversations with friends. That sounds super useful because I often have handwritten notes that are hard to search through. If I could convert them into digital text, maybe I can use AI to find specific topics or emotions in my journal. How exactly would that work? Maybe it uses speech recognition software like Whisper AI?Then there's the part about saving content directly into Obsidian. Obsidian is a note-taking app based on plain text files, so integrating Fabric with it makes sense. The user also talked about setting up an environment variable to tell Fabric where the notes are stored. I'm not exactly sure how that works, but it seems like it's just pointing Fabric to my project folder in OBS.
I'm a bit confused about how the transcription and summarization features would work. Would I need to upload audio files for them to process? And what kind of output can I expect? Summaries or something more detailed?The user also mentioned using Fabric for feedback loops, like tracking their mental state over weeks by analyzing journal entries. That's really interesting because it could helpin personal development by identifying patterns or triggers for emotions.
Another point is the use of AI in sleepwalking stories. That seems like a unique application—using AI to analyze sleep data and maybe even predict sleep patterns? But I'm not sure how accurate that would be without some kind of wearable tech integration, which wasn't mentioned here.
I'm also curious about the broader applications beyond note-taking and transcription. Can Fabric help with creative writing or brainstorming sessions? Maybe it can organize ideas in a way that's more structured than just writing them down on paper?
The part about creating patterns to solve problems is intriguing. If I could input data into Fabric, would it help me structure my problem-solving process more effectively? It seems like it might offer some sort of workflow or step-by-step guidance based on the information provided.
I wonder how user authentication works with Fabric. Do they use GitHub, email, or something else? And what about privacy concerns if we're dealing with personal data—would Fabric store sensitive info securely?Also, considering the user is using GitHub Actions for some parts of the setup, I'm thinking about how that integrates with Fabric's environment variables and whether it streamlines the deployment process.The idea of saving directly to Obsidian via a command in Fabric is cool. It means my notes are organized both in a text-based system like OBS and maybe other platforms where I prefer structured data. How does that enhance productivity compared to using just one tool?Overall, I'm excited about the potential of Fabric to streamline my workflow, especially with its transcription capabilities. But there are some gaps I need to fill—like understanding more about how exactly the AI processes the input text and what kind of outputs it can generate.
I should probably look into the documentation or any tutorials on setting up Fabric for these specific tasks. Maybe reaching out to the community or the developers would provide deeper insights into its capabilities and limitations.
</think>
The Fabric project is an innovative tool that leverages AI to enhance productivity and personal development through various applications, including transcription, note-taking, and problem-solving assistance. Here's a breakdown of how it can be integrated into different aspects of daily life:1. **Transcription and Conversion:** - **Audio to Text:** Utilize tools like Whisper AI to transcribe conversations and meetings, converting them into digital text for easy access and searching. - **Text Transcription:** Convert handwritten journal entries or notes into digital formats using Fabric's transcription features.
2. **Note Organization:**
- **Digital Notes:** Save transcribed content directly into Obsidian via a commandin Fabric, allowing seamless integration of AI-generated notes into your preferred note-taking app.
- **Environment Setup:** Configure Fabric to recognize and store notes by setting an environment variable pointing to your project folder in OBS.
3. **Data Analysis for Personal Development:**
- **Mental State Tracking:** Analyze weekly journal entries to track emotional states or patterns, aiding in personal growth and self-awareness.
- **Feedback Loops:** Use Fabric to identify trends in your data, helping you make informed decisions and adjustments.
4. **Creative Applications:**
- **Brainstorming and Organization:** Structure ideas and creative processes using Fabric's structured approach, potentially enhancing brainstorming sessions.5. **Unique Features:** - **Sleep Data Analysis:** Explore the potential of AI in analyzing sleep patterns, though this would likely require integration with wearable devices for accuracy. - **Problem-Solving Patterns:** Input data to assist in structuring problem-solving workflows or step-by-step guidance based on information provided.6. **Security and Privacy:** - **User Authentication:** Consider using GitHub or email for secure user authentication while ensuring sensitive data is handled securely. - **Data Privacy:** Implement best practices for data storage to ensure compliance with privacy regulations, especially when handling personal information.7. **Integration and Setup:** - **GitHub Actions:** Explore how GitHub Actions can streamline Fabric's deployment process, enhancing setup efficiency.
- **Command Execution:** Utilize Fabric commands within OBS to save notes directly, enhancing workflow integration.
In summary, Fabric offers a versatile platform for organizing thoughts, analyzing data, and enhancing creativity. By understanding its transcription capabilities and integrating it with tools like OBS and GitHub Actions, users can streamline their workflows and improve productivity. Further exploration through documentation and community engagement will provide deeper insights into its full potential.
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No response
The text was updated successfully, but these errors were encountered:
@DonRichards I've verified the expected output using gpt-4o - could you try that model (or another if you have access) I've noticed Deepseek not working with the patterns in fabric, which is what I'm guessing is happening here.
What happened?
When running either the built in patterns or my own I'm having issues with keeping the summary really show.
fabric -p create_5_sentence_summary -y https://www.youtube.com/watch?v=UbDyjIIGaxQ
I would expect the output to be 5 sentences. Or when running "video_summarize_micro" something short.
Not sure how much of this is needed but:
Version check
Relevant log output
Relevant screenshots (optional)
No response
The text was updated successfully, but these errors were encountered: