Science Score: 13.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
â—‹CITATION.cff file
-
✓codemeta.json file
Found codemeta.json file -
â—‹.zenodo.json file
-
â—‹DOI references
-
â—‹Academic publication links
-
â—‹Committers with academic emails
-
â—‹Institutional organization owner
-
â—‹JOSS paper metadata
-
â—‹Scientific vocabulary similarity
Low similarity (13.6%) to scientific vocabulary
Keywords
Keywords from Contributors
Scientific Fields
Repository
Vision utilities for web interaction agents 👀
Basic Info
- Host: GitHub
- Owner: reworkd
- License: mit
- Language: Jupyter Notebook
- Default Branch: main
- Homepage: https://reworkd.ai
- Size: 2.94 GB
Statistics
- Stars: 1,723
- Watchers: 13
- Forks: 112
- Open Issues: 17
- Releases: 4
Topics
Metadata Files
README.md
Vision utilities for web interaction agents
Tarsier
If you've tried using an LLM to automate web interactions, you've probably run into questions like:
- How should you feed the webpage to an LLM? (e.g. HTML, Accessibility Tree, Screenshot)
- How do you map LLM responses back to web elements?
- How can you inform a text-only LLM about the page's visual structure?
At Reworkd, we iterated on all these problems across tens of thousands of real web tasks to build a powerful perception system for web agents... Tarsier! In the video below, we use Tarsier to provide webpage perception for a minimalistic GPT-4 LangChain web agent.
https://github.com/reworkd/tarsier/assets/50181239/af12beda-89b5-4add-b888-d780b353304b
How does it work?
Tarsier visually tags interactable elements on a page via brackets + an ID e.g. [23].
In doing this, we provide a mapping between elements and IDs for an LLM to take actions upon (e.g. CLICK [23]).
We define interactable elements as buttons, links, or input fields that are visible on the page; Tarsier can also tag all textual elements if you pass tag_text_elements=True.
Furthermore, we've developed an OCR algorithm to convert a page screenshot into a whitespace-structured string (almost like ASCII art) that an LLM even without vision can understand. Since current vision-language models still lack fine-grained representations needed for web interaction tasks, this is critical. On our internal benchmarks, unimodal GPT-4 + Tarsier-Text beats GPT-4V + Tarsier-Screenshot by 10-20%!
| Tagged Screenshot | Tagged Text Representation |
| :-------------------------------------------------------------------------------: | :------------------------------------------------------------------------------------: |
|
|
|
Installation
shell
pip install tarsier
Usage
Visit our cookbook for agent examples using Tarsier:
We currently support 2 OCR engines: Google Vision and Microsoft Azure. To create service account credentials for Google, follow the instructions on this SO answer https://stackoverflow.com/a/46290808/1780891
The credentials for Microsoft Azure are stored as a simple JSON consisting of an API key and an endpoint
json
{
"key": "<enter_your_api_key>",
"endpoint": "<enter_your_api_endpoint>"
}
These values can be found in the keys and endpoint section of the computer vision resource. See the instructions at https://learn.microsoft.com/en-us/answers/questions/854952/dont-find-your-key-and-your-endpoint
Otherwise, basic Tarsier usage might look like the following:
```python import asyncio
from playwright.asyncapi import asyncplaywright from tarsier import Tarsier, GoogleVisionOCRService, MicrosoftAzureOCRService import json
def loadocrcredentials(jsonfilepath): with open(jsonfilepath) as f: credentials = json.load(f) return credentials
async def main(): # To create the service account key, follow the instructions on this SO answer https://stackoverflow.com/a/46290808/1780891
google_cloud_credentials = load_ocr_credentials('./google_service_acc_key.json')
#microsoft_azure_credentials = load_ocr_credentials('./microsoft_azure_credentials.json')
ocr_service = GoogleVisionOCRService(google_cloud_credentials)
#ocr_service = MicrosoftAzureOCRService(microsoft_azure_credentials)
tarsier = Tarsier(ocr_service)
async with async_playwright() as p:
browser = await p.chromium.launch(headless=False)
page = await browser.new_page()
await page.goto("https://news.ycombinator.com")
page_text, tag_to_xpath = await tarsier.page_to_text(page)
print(tag_to_xpath) # Mapping of tags to x_paths
print(page_text) # My Text representation of the page
if name == 'main': asyncio.run(main()) ```
Keep in mind that Tarsier tags different types of elements differently to help your LLM identify what actions are performable on each element. Specifically:
[#ID]: text-insertable fields (e.g.textarea,inputwith textual type)[@ID]: hyperlinks (<a>tags)[$ID]: other interactable elements (e.g.button,select)[ID]: plain text (if you passtag_text_elements=True)
Local Development
Setup
We have provided a handy setup script to get you up and running with Tarsier development.
shell
./script/setup.sh
If you modify any TypeScript files used by Tarsier, you'll need to execute the following command. This compiles the TypeScript into JavaScript, which can then be utilized in the Python package.
shell
npm run build
Testing
We use pytest for testing. To run the tests, simply run:
shell
poetry run pytest .
Linting
Prior to submitting a potential PR, please run the following to format your code:
shell
./script/format.sh
Supported OCR Services
- [x] Google Cloud Vision
- [ ] Amazon Textract (Coming Soon)
- [ ] Microsoft Azure Computer Vision (Coming Soon)
Roadmap
- [x] Add documentation and examples
- [x] Clean up interfaces and add unit tests
- [x] Launch
- [x] Improve OCR text performance
- [ ] Add options to customize tagging styling
- [ ] Add support for other browsers drivers as necessary
Citations
bibtex
@misc{reworkd2023tarsier,
title = {Tarsier},
author = {Rohan Pandey and Adam Watkins and Asim Shrestha and Srijan Subedi},
year = {2023},
howpublished = {GitHub},
url = {https://github.com/reworkd/tarsier}
}
Owner
- Name: Reworkd
- Login: reworkd
- Kind: organization
- Email: founders@reworkd.ai
- Location: San Francisco, CA
- Website: https://reworkd.ai
- Twitter: reworkdai
- Repositories: 8
- Profile: https://github.com/reworkd
Pushing the Boundaries of OpenSource Agents
GitHub Events
Total
- Issues event: 2
- Watch event: 285
- Delete event: 10
- Issue comment event: 11
- Pull request event: 21
- Fork event: 27
- Create event: 10
Last Year
- Issues event: 2
- Watch event: 285
- Delete event: 10
- Issue comment event: 11
- Pull request event: 21
- Fork event: 27
- Create event: 10
Committers
Last synced: 10 months ago
Top Committers
| Name | Commits | |
|---|---|---|
| asim-shrestha | a****a@h****m | 80 |
| awtkns | 3****s | 55 |
| dependabot[bot] | 4****] | 38 |
| khoomeik | 3****K | 27 |
| Sean McGuire | 7****2 | 18 |
| Rohan Pandey | r****n@R****l | 10 |
| ml5ah | 6****h | 2 |
| Craig Mulligan | g****t@c****m | 2 |
| nik | n****k | 1 |
| mkrupskis | m****s@g****m | 1 |
| Harsh Gupta | w****k@h****n | 1 |
| Debanjum | d****m@g****m | 1 |
Committer Domains (Top 20 + Academic)
Issues and Pull Requests
Last synced: 6 months ago
All Time
- Total issues: 20
- Total pull requests: 155
- Average time to close issues: about 2 months
- Average time to close pull requests: 10 days
- Total issue authors: 14
- Total pull request authors: 13
- Average comments per issue: 2.75
- Average comments per pull request: 0.69
- Merged pull requests: 90
- Bot issues: 0
- Bot pull requests: 96
Past Year
- Issues: 6
- Pull requests: 74
- Average time to close issues: about 1 month
- Average time to close pull requests: 7 days
- Issue authors: 6
- Pull request authors: 9
- Average comments per issue: 2.0
- Average comments per pull request: 0.73
- Merged pull requests: 38
- Bot issues: 0
- Bot pull requests: 40
Top Authors
Issue Authors
- asim-shrestha (4)
- ml5ah (2)
- awtkns (2)
- craigmulligan (1)
- eshoyuan (1)
- llermaly (1)
- SaimSaudagarVenD (1)
- sohamganatra (1)
- Ponmo (1)
- tvatter (1)
- dependabot[bot] (1)
- amitlevy (1)
- PrathamSoni (1)
- onlyoneaman (1)
- rgarcia (1)
Pull Request Authors
- dependabot[bot] (173)
- seanmcguire12 (40)
- asim-shrestha (30)
- KhoomeiK (6)
- awtkns (6)
- ml5ah (4)
- craigmulligan (3)
- BilalG1 (2)
- nik (2)
- hargup (1)
- devanshkaloti (1)
- debanjum (1)
- Krupskis (1)
Top Labels
Issue Labels
Pull Request Labels
Packages
- Total packages: 2
-
Total downloads:
- pypi 25,327 last-month
-
Total dependent packages: 1
(may contain duplicates) -
Total dependent repositories: 1
(may contain duplicates) - Total versions: 55
- Total maintainers: 1
proxy.golang.org: github.com/reworkd/tarsier
- Documentation: https://pkg.go.dev/github.com/reworkd/tarsier#section-documentation
- License: mit
-
Latest release: v0.6.0
published over 1 year ago
Rankings
pypi.org: tarsier
Vision utilities for web interaction agents
- Documentation: https://tarsier.readthedocs.io/
- License: mit
-
Latest release: 0.8.2
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- actions/checkout v2 composite
- actions/checkout v3 composite
- actions/setup-python v4 composite
- appnope 0.1.3
- asttokens 2.4.1
- attrs 23.1.0
- black 23.11.0
- cachetools 5.3.2
- certifi 2023.7.22
- cffi 1.16.0
- charset-normalizer 3.3.2
- click 8.1.7
- colorama 0.4.6
- coverage 7.3.2
- decorator 5.1.1
- exceptiongroup 1.1.3
- executing 2.0.1
- google-api-core 2.14.0
- google-auth 2.23.4
- google-cloud-vision 3.4.5
- googleapis-common-protos 1.61.0
- greenlet 3.0.0
- grpcio 1.59.2
- grpcio-status 1.59.2
- h11 0.14.0
- idna 3.4
- iniconfig 2.0.0
- ipython 8.17.2
- isort 5.12.0
- jedi 0.19.1
- matplotlib-inline 0.1.6
- mypy 1.7.0
- mypy-extensions 1.0.0
- nest-asyncio 1.5.8
- outcome 1.3.0.post0
- packaging 23.2
- parso 0.8.3
- pathspec 0.11.2
- pexpect 4.8.0
- platformdirs 4.0.0
- playwright 1.39.0
- pluggy 1.3.0
- prompt-toolkit 3.0.40
- proto-plus 1.22.3
- protobuf 4.25.0
- ptyprocess 0.7.0
- pure-eval 0.2.2
- pyasn1 0.5.0
- pyasn1-modules 0.3.0
- pycparser 2.21
- pyee 11.0.1
- pygments 2.16.1
- pysocks 1.7.1
- pytest 7.4.3
- pytest-asyncio 0.21.1
- pytest-base-url 2.0.0
- pytest-cov 4.1.0
- pytest-mock 3.12.0
- pytest-playwright 0.4.3
- python-dotenv 1.0.0
- python-slugify 8.0.1
- requests 2.31.0
- rsa 4.9
- selenium 4.15.2
- six 1.16.0
- sniffio 1.3.0
- sortedcontainers 2.4.0
- stack-data 0.6.3
- text-unidecode 1.3
- tokenize-rt 5.2.0
- tomli 2.0.1
- traitlets 5.13.0
- trio 0.23.1
- trio-websocket 0.11.1
- typing-extensions 4.8.0
- urllib3 2.0.7
- wcwidth 0.2.9
- webdriver-manager 4.0.1
- wsproto 1.2.0
- google-cloud-vision ^3.4.5
- playwright ^1.39.0
- python ^3.10
- selenium ^4.15.2
- @esbuild/android-arm 0.19.5 development
- @esbuild/android-arm64 0.19.5 development
- @esbuild/android-x64 0.19.5 development
- @esbuild/darwin-arm64 0.19.5 development
- @esbuild/darwin-x64 0.19.5 development
- @esbuild/freebsd-arm64 0.19.5 development
- @esbuild/freebsd-x64 0.19.5 development
- @esbuild/linux-arm 0.19.5 development
- @esbuild/linux-arm64 0.19.5 development
- @esbuild/linux-ia32 0.19.5 development
- @esbuild/linux-loong64 0.19.5 development
- @esbuild/linux-mips64el 0.19.5 development
- @esbuild/linux-ppc64 0.19.5 development
- @esbuild/linux-riscv64 0.19.5 development
- @esbuild/linux-s390x 0.19.5 development
- @esbuild/linux-x64 0.19.5 development
- @esbuild/netbsd-x64 0.19.5 development
- @esbuild/openbsd-x64 0.19.5 development
- @esbuild/sunos-x64 0.19.5 development
- @esbuild/win32-arm64 0.19.5 development
- @esbuild/win32-ia32 0.19.5 development
- @esbuild/win32-x64 0.19.5 development
- esbuild 0.19.5 development
- prettier 3.1.0 development
- typescript 5.2.2 development
- esbuild ^0.19.5 development
- prettier ^3.1.0 development
- typescript ^5.2.2 development
- annotated-types 0.6.0
- anyio 4.2.0
- attrs 23.2.0
- bananalyzer 0.8.6
- boto3 1.34.34
- botocore 1.34.34
- cachetools 5.3.2
- certifi 2024.2.2
- cffi 1.16.0
- charset-normalizer 3.3.2
- colorama 0.4.6
- deepdiff 6.7.1
- distro 1.9.0
- execnet 2.0.2
- google-api-core 2.16.2
- google-auth 2.27.0
- google-cloud-vision 3.6.0
- googleapis-common-protos 1.62.0
- greenlet 3.0.3
- grpcio 1.60.1
- grpcio-status 1.60.1
- h11 0.14.0
- httpcore 1.0.2
- httpx 0.26.0
- idna 3.6
- iniconfig 2.0.0
- jinja2 3.1.3
- jmespath 1.0.1
- markupsafe 2.1.5
- numpy 1.26.3
- openai 1.11.1
- ordered-set 4.1.0
- outcome 1.3.0.post0
- packaging 23.2
- playwright 1.41.1
- pluggy 1.4.0
- proto-plus 1.23.0
- protobuf 4.25.2
- psutil 5.9.8
- pyasn1 0.5.1
- pyasn1-modules 0.3.0
- pycparser 2.21
- pydantic 2.6.0
- pydantic-core 2.16.1
- pyee 11.0.1
- pysocks 1.7.1
- pytest 7.4.4
- pytest-asyncio 0.21.1
- pytest-html 4.1.1
- pytest-metadata 3.1.0
- pytest-xdist 3.5.0
- python-dateutil 2.8.2
- python-dotenv 1.0.1
- requests 2.31.0
- rsa 4.9
- s3transfer 0.10.0
- selenium 4.17.2
- six 1.16.0
- sniffio 1.3.0
- sortedcontainers 2.4.0
- tabulate 0.9.0
- tarsier 0.5.87
- tqdm 4.66.1
- trio 0.24.0
- trio-websocket 0.11.1
- typing-extensions 4.9.0
- urllib3 2.0.7
- wsproto 1.2.0
- bananalyzer ^0.8.6
- numpy ^1.26.3
- playwright ^1.41.1
- python ^3.11
- python-dotenv ^1.0.1
- tarsier *