Migrates the Automations page to React, mostly keeping the overall design consistent with organization. Use component library, with some changes in color. Add easier management with straightforward form and editing experience.
Use system preference for determining dark mode if not explicitly set.
- Updated references panel
- Use subtle coloring for chat cards
- Chat streaming with train of thought
- Side panel with limited sessions, expandable
- Manage conversation file filters easily from the side panel
- Updated nav menu, easily go to agents/automations/profile
- Upload data from the chat UI (on click attachment icon)
- Slash command pop-up menu, scrollable and selectable
- Dark mode-enabled
- Mostly mobile friendly
- Pass Loading message, class name via props to both inline and normal
loading spinners
- Pass loading conversation message to loading spinner when chat
history is being fetched
- Create profile card componennt. Use it for agent profile card
- Pass agent persona from khoj server via API
- Put link to agent profile page in the hover card to make it 2 clicks
away. Othewise inadvertent clicks on agent in chat view lead away to
agent page
- Use tailwind line-clamp extension to clamp card to first two lines
- Reuse class name when get slash command icons
- Previous chat input styling didn't have the cursor centered in the
chat input text area. But it did allow seeing multi line chat inputs
for context
- Add an experimental feature used for fact-checking falsifiable statements with customizable models. See attached screenshot for example. Once you input a statement that needs to be fact-checked, Khoj goes on a research spree to verify or refute it.
- Integrate frontend libraries for [Tailwind](https://tailwindcss.com/) and [ShadCN](https://ui.shadcn.com/) for easier UI development. Update corresponding styling for some existing UI components.
- Add component for model selection
- Add backend support for sharing arbitrary packets of data that will be consumed by specific front-end views in shareable scenarios
Initialize our migration to use Next.js for front-end views via Agents. This includes setup for getting authenticated users, reading in available agents, setting up a pop-up modal when you're clicking on an agent, and allowing users to start new conversations with agents.
Best attempt at an in-place migration, though there are some noticeable differences.
Also adds view for chat that are not being used, but in experimental phase.
To improve the developer experience for front-end development, we're migrating to Next.js. In order to do this migration page-by-page, we're using static site generation via Next.js. This also helps us avoid making cross site requests from front-end to back-end for the time being, while giving a ramp to separating out server and client if needed for scale down the road.
Dev instructions for using the next.js setup are in the added README.
This adds scaffolding for including the built files in the python package as well as the docker images. Docker setup has been tested locally. In order to verify the build is working as expected, we can navigate to the {khoj_host}:42110/experimental and verify that the experiment page comes up.
This setup works with serving static files included in the src/interface/web folder from the Django app. The key bit for understanding the setup is in the yarn export command in package.json.
- Why
The khoj pypi packages should be installed in `khoj' directory.
Previously it was being installed into `src' directory, which is a
generic top level directory name that is discouraged from being used
- Changes
- move src/* to src/khoj/*
- update `setup.py' to `find_packages' in `src' instead of project root
- rename imports to form `from khoj.*' in complete project
- update `constants.web_directory' path to use `khoj' directory
- rename root logger to `khoj' in `main.py'
- fix image_search tests to use the newly rename `khoj' logger
- update config, docs, workflows to reference new path `src/khoj'
### Overview
- Provide a chat interface to engage with and inquire your notes
- Simplify interacting with the beta `chat` and `summarize` APIs
### Use
- Open `<khoj-url>/chat`, by default at http://localhost:8000/chat?type=summarize
- Type your queries, see summarized response by Khoj from your notes
**Note**:
- **You will need to add an API key from OpenAI to your khoj.yml**
- **Your query and top note from search result will be sent to OpenAI for processing**
## Details
- 177756b Show chat history on loading chat page on web interface
- d8ee0f0 Save chat history to disk for persistence, seeing chat logs
- 5294693 Style chat messages as speech bubbles
- d170747 Add khoj web interface and chat styling to new chat page on khoj web
- de6c146 Implement functional, unstyled chat page for khoj web interface
- Wrap messages into speech bubbles
- Color messages by khoj blue, sender grey
- Add those standard protrusions to the speech bubbles for fun
- Align bubbles left or right based on sender
- messages by khoj are left aligned, message by self are right aligned
- Put message metadata like sender and time under speech bubble
- use data-* attribute and ::after css pseudo-selector for this
- Update renderMessage func to accept time param, remove unused type_ param
- Changes
- Use blue color for khoj heading font
- This fixes the title color issue
- Update background to lighter shade
- This fixes the body text color issue
- Update colors for todo, done, miscellaneous todo state, tag color
- This does not fix the color contrast issue but seems like an acceptable solution
- Using white text rather than black text on blue background
better even though the black text on blue background passes the
WCAG acceptable contrast score
- For details see blog post:
https://uxmovement.com/buttons/the-myths-of-color-contrast-accessibility/
- Add border to tags to give them tag pills look and differntiate
from todo states
- Buttons and inputs
- Change background color of input fields like type dropdown,
update button and results count counter, to match background
color of page
- Add shadow on hover over button, dropdowns
Resolves#111
- Ensure message input box sticks to bottom of screen
- Ensure chat logs div is scrollable when logs become longer than screen
Do not make the whole page scroll, just the chat logs body div
- Reason
- All clients that currently consume the API are part of Khoj
- Any breaking API changes will be fixed in clients immediately
- So decoupling client from API is not required
- This removes the burden of maintaining muliple versions of the API
- Split router.py into v1.0, beta and frontend (no-prefix) api modules
under new router package. Version tag in main.py via prefix
- Update frontends to use the versioned api endpoints
- Update tests to work with versioned api endpoints
- Update docs to mentioned, reference only versioned api endpoints
- Simplify tracking khoj query history, saving/sharing links
- Do not execute search, when query only contains whitespaces
- Prevents error when try process results of empty query
- As `/reload` updates index incrementally, it's relatively quick
- This makes exposing `/reload` endpoint a better default to expose
via the web interface than `the /regenerate' endpoint
- This also pushes the updated URL state to history
- Allows jumping back to the web interface after clicking on an image
and having the type set to image search
- Previously type would get reset to the default search type on
jumping back
- Do not want browsers to use the small, grainy favicons
- Firefox for Android does use the bigger icon, when it's the only one available
- Update svg to match the 144x144 ratio just for consistency
- Improve code layout by ensuring all web interface specific code
under the src/interface/web directory
- Rename config API to more specifi /config instead of /ui
- Rename config data GET, POST api to /config/data instead of /config
- Populate via `.then` after enabled search types in dropdown are
populated
- Call to `/config` API is async and will usually complete after the value of type field is set from url
- So value of type field would earlier be overridden when search types
dropdown is populated after the call to `/config` API completes
- Get /config API and check config for which available search types is
populated. This gives us the list of enabled search types
- Dynamically populate search type field with enabled search types only
- Setting query value to default option when query param wasn't
passed via URL was overriding placeholder text in query field
- We wanted placeholder text in field, not the query field to actually
be populated by placeholder text
- This clears field when user starts typing query into the query field,
instead of them having to manually delete the default text populated
Having org-mode result headings change size based on their depth in
the source document makes is a confusing UI experience.
Improve font-size, line-spacing and margins of results to make
delineation between entries, and differntiating between entry heading
and it's body easier to visually infer.
Do not white-space: pre-line. Improves rendering of Markdown results
- Reason:
Allow natural search on markdown based notes, documentation,
websites etc
- Details:
- Create markdown processor to extract Markdown entries (identified by
Heading) into standard jsonl format required by text_search
- Update API, Configs to support interfacing with new markdown type
- Update Emacs, Web clients to support interfacing with new markdown
type via API
- Update Readme to mentiond markdown is also supported
Closes#35
- Avoids having to click the query input box
- Just open page, type whatever and hit enter to do image search
- For other search types select appropriate type from dropdown
Adding a random, unused url param at the end of the img.src string
fixes the issue. As the browser thinks it's a new image and doesn't
use the image data that's already cached because of which it wasn't
even making the fetch call for the image
- Allow viewing image results returned by Semantic Search.
Until now there wasn't any interface within the app to view image
search results. For text results, we at least had the emacs interface
- This should help with debugging issues with image search too
For text the Swagger interface was good enough
