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Add Langchain Support for Multiple AI Models #2

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nafisfaysal opened this issue Jun 15, 2024 · 0 comments
Open

Add Langchain Support for Multiple AI Models #2

nafisfaysal opened this issue Jun 15, 2024 · 0 comments

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@nafisfaysal
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User Story:

As a frontend developer, I want to provide a user interface that allows content writers to select from multiple AI models so that they can choose the most suitable tool for their content creation needs.

Acceptance Criteria:

  1. Model Selection UI:

    • Add a dropdown menu or toggle in the content creation interface to allow users to select from the available AI models (OpenAI, Gemini, Llama 3, Vicuna, Claude 3, Stable Beluga, StableLM 2, Coral, Falcon, DBRX, Mixtral, XGen-7B, Grok).
    • The default selection should be the OpenAI model.
  2. User Feedback:

    • Display a tooltip or information icon next to each model option providing a brief description of the model.
    • Ensure the interface clearly indicates which model is currently selected.
  3. Dynamic Content Generation:

    • Ensure that the content generation process dynamically uses the selected AI model.
    • Display loading indicators or status messages while content is being generated.
  4. User Experience:

    • Ensure the model selection interface is intuitive and user-friendly.
    • Implement responsive design to ensure compatibility with various devices and screen sizes.
  5. Error Handling:

    • Provide user-friendly error messages if content generation fails due to issues with the selected AI model.
    • Implement fallback mechanisms to handle errors gracefully.
  6. Testing and Validation:

    • Conduct thorough testing to ensure the model selection UI works as intended.
    • Validate that the content generation process correctly utilizes the selected AI model.
  7. Documentation:

    • Update the user guide and help documentation to include instructions on how to select and use different AI models.
    • Provide examples and best practices for choosing the most suitable model.

Tasks:

  1. Design and implement the model selection UI.
  2. Integrate the UI with the backend API to dynamically call the selected AI model.
  3. Implement tooltips and information icons for model descriptions.
  4. Ensure responsive design for compatibility with different devices.
  5. Develop error handling and fallback mechanisms.
  6. Conduct testing and validation of the UI and content generation process.
  7. Update user guides and help documentation.
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