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Update README.md

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@@ -11,6 +11,8 @@ tags:
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  - animtoon
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  - vector-animation
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  - text-to-animation
 
 
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  datasets:
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  - OmniLottie/MMLottie-2M
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  pipeline_tag: text-generation
@@ -75,7 +77,7 @@ print(result)
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  ## Convert to .lottie
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  ```python
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- # Clone: git clone https://github.com/srk0102/svg-animator.git
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  import sys; sys.path.insert(0, 'src')
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  from toon_animator import animtoon_to_dotlottie_full
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@@ -97,7 +99,7 @@ lottie_dict = anim.to_dict()
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  # Output: .lottie file with real SVG shapes + AI animations
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  ```
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- See full pipeline: [test_svg_pipeline.py](https://github.com/srk0102/svg-animator/blob/master/test_svg_pipeline.py)
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  ## Benchmark Results (Measured)
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@@ -156,7 +158,8 @@ OmniLottie generates everything in one model → hallucinated shapes, token bloa
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  ## Links
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- - **GitHub:** [github.com/srk0102/svg-animator](https://github.com/srk0102/svg-animator)
 
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  - **OmniLottie (comparison):** [arxiv.org/abs/2603.02138](https://arxiv.org/abs/2603.02138)
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  - **MMLottie-2M Dataset:** [huggingface.co/datasets/OmniLottie/MMLottie-2M](https://huggingface.co/datasets/OmniLottie/MMLottie-2M)
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@@ -167,10 +170,10 @@ OmniLottie generates everything in one model → hallucinated shapes, token bloa
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  title={AnimTOON: Token-Efficient Vector Animation Generation via Compact Text Format},
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  author={Siva RamaKrishna},
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  year={2026},
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- url={https://github.com/srk0102/svg-animator}
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  }
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  ```
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  ## License
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- MIT License - see [LICENSE](https://github.com/srk0102/svg-animator/blob/master/LICENSE)
 
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  - animtoon
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  - vector-animation
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  - text-to-animation
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+ - conversational
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+ - text-generation-inference
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  datasets:
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  - OmniLottie/MMLottie-2M
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  pipeline_tag: text-generation
 
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  ## Convert to .lottie
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  ```python
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+ # Clone: git clone https://github.com/srk0102/AnimTOON.git
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  import sys; sys.path.insert(0, 'src')
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  from toon_animator import animtoon_to_dotlottie_full
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  # Output: .lottie file with real SVG shapes + AI animations
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  ```
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+ See full pipeline: [test_svg_pipeline.py](https://github.com/srk0102/AnimTOON/blob/master/test_svg_pipeline.py)
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  ## Benchmark Results (Measured)
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  ## Links
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+ - **GitHub:** [github.com/srk0102/AnimTOON](https://github.com/srk0102/AnimTOON)
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+ - **PitchHut:** [pitchhut.com/project/animtoon-lottie-animation](https://www.pitchhut.com/project/animtoon-lottie-animation)
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  - **OmniLottie (comparison):** [arxiv.org/abs/2603.02138](https://arxiv.org/abs/2603.02138)
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  - **MMLottie-2M Dataset:** [huggingface.co/datasets/OmniLottie/MMLottie-2M](https://huggingface.co/datasets/OmniLottie/MMLottie-2M)
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  title={AnimTOON: Token-Efficient Vector Animation Generation via Compact Text Format},
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  author={Siva RamaKrishna},
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  year={2026},
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+ url={https://github.com/srk0102/AnimTOON}
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  }
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  ```
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  ## License
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+ MIT License - see [LICENSE](https://github.com/srk0102/AnimTOON/blob/master/LICENSE)