allow for url annotations

[jmikedupont2]

be able to read inputs from urls,
create iframes to contain each  each output with urls derived from input urls.
create parameters for each data block. that contain part of the chunk the position, the original inputs. 
be able to save the results to clarifai.

Forking the Streamlit text-split-explorer splitter app with the mentioned ticket is a great way to enhance its functionality. To achieve the goals you've outlined, here are some steps you can follow:

1. Input from URLs:

   • Modify the app to accept input data from URLs. Users should be able to provide URLs as input sources.

2. Reading Inputs from URLs:

   • Implement the logic to fetch data from the provided URLs and read them into the app. You may need to handle different data formats (e.g., text, JSON, HTML).

3. Creating Iframes for Outputs:

   • Create iframes dynamically based on the input data. Each iframe should contain the processed output and have URLs derived from the input URLs.

4. Parameters for Data Blocks:

   • Define parameters for each data block within the iframes. These parameters should include information such as the chunk, position, and details about the original inputs. This data can be used for further analysis or actions.

5. Saving Results to Clarifai:

   • Integrate functionality to save the processed results to Clarifai or any other chosen storage or service. Ensure secure and authorized access to Clarifai.

6. User Interface Enhancements:

   • Update the user interface to accommodate the new features related to URL input, iframes, and parameter display.

7. Documentation:

   • Provide clear documentation for users on how to use the app, input data from URLs, and save results to Clarifai.

8. Testing and Validation:

   • Thoroughly test the app to ensure it functions correctly with various types of input URLs and data formats. Validate the saving process to Clarifai.

9. Error Handling:

   • Implement error handling to gracefully handle situations where fetching data from URLs or saving results may fail.

10. Security Measures:

    • Maintain security practices to protect user data and ensure secure interactions with external services like Clarifai.

11. Version Control:

    • If collaborating with others, use version control (e.g., Git) to track changes and facilitate collaboration on the forked project.

By incorporating these steps into your forked Streamlit app, you can create a versatile tool that allows users to process data from URLs, visualize results in iframes, and save valuable information to Clarifai or other storage solutions. This can be especially useful for data analysis and exploration tasks.

[jmikedupont2]

Tool Description: URL Composer with Langchain Splitters

The URL Composer with Langchain Splitters is a versatile and user-friendly tool designed to simplify the process of sharing and embedding content using URLs. This tool is a fork of the "text-split-explorer" project, enhanced with Langchain's innovative text splitting technology.

Key Features:

1. Chunking and Organization: The URL Composer allows you to break down large pieces of content into manageable chunks using Langchain's advanced splitters. This technology ensures precise and efficient content division.

2. Customizable Parameters: You have the flexibility to customize various parameters, such as chunk size, overlap, and text splitting method, all powered by Langchain's cutting-edge text processing.

3. Target URL Specification: With the addition of the targeturl parameter, you can define a custom target URL for your composed content. This empowers you to embed content precisely where you want it, whether it's within a webpage or a specific location.

4. Ease of Use: The tool's user-friendly interface makes it accessible to users of all levels. Simply input your content, configure parameters, and generate URLs with ease, all while benefiting from Langchain's text splitting expertise.

How to Use:

1. Input your content, whether it's text, articles, or documents, into the tool, now enhanced with Langchain splitters.

2. Configure parameters such as chunk size, overlap, and the targeturl parameter (if desired), all optimized for efficient content manipulation.

3. Generate URLs for your content chunks, leveraging Langchain's advanced text splitting technology.

4. Share the generated URLs with collaborators, friends, or on various platforms like Discord, allowing others to access and interact with your content efficiently and accurately.

Use Cases:

• Collaborative Writing: Co-author articles, essays, or documents with colleagues using Langchain's precise text splitting for improved collaboration.

• Web Embedding: Embed content snippets into webpages or blog posts seamlessly, enhancing your online content with Langchain-powered organization.

• Structured Sharing: Share articles, research papers, or lengthy documents in a structured manner, making it easier for readers to navigate, all thanks to Langchain's innovative splitters.

Conclusion:

The URL Composer with Langchain Splitters is your go-to tool for simplifying content sharing and embedding, now enhanced with Langchain's expertise in text splitting technology. Whether for personal or professional use, this tool streamlines the way you share and collaborate on content with unparalleled precision and efficiency.