Readme flow done
Browse filesStill needs:
- code overview
- use cases
- add to techniques and flow if other functionalities are added
- add sources
README.md
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the agent will split the narrative structure into acts and scenes,
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pointing to the reference text as well
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- Detection of text patterns (turning expressions such as “Suddenly”, “In the meantime”)
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and classification using a Story Understanding model
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- Tone analysis and Sentiment analysis for understanding vibes
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### Code overview
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### Use cases
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the agent will split the narrative structure into acts and scenes,
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pointing to the reference text as well
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**I**
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Media generation.
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This phase consists of a series of steps focused on creating additional contents,
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to support the textual part of the script:
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- Concept art
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- Storyboard for narrative keypoints
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- Images for plot points
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**TODO: add sound and bias analysis?**
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**J**
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Final deliverable
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- Detection of text patterns (turning expressions such as “Suddenly”, “In the meantime”)
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and classification using a Story Understanding model
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- Tone analysis and Sentiment analysis for understanding vibes
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- Image generation models (Stable Diffusion, DALL·E 3), with prompts generated by the model
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### Code overview
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### Use cases
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### Sources
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- Russell, S., & Norvig, P. (2021). *Artificial Intelligence: A Modern Approach* (3rd ed.). Pearson.
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- Cambria, E., & White, B. (2014). *Jumping NLP Curves: A Review of Natural Language Processing Research*. IEEE Computational Intelligence Magazine, 9(2), 48–57.
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- Ramesh, A., Pavlov, M., Goh, G., Gray, S., Voss, C., Radford, A., … & Sutskever, I. (2022). *Hierarchical Text-Conditional Image Generation with CLIP Latents*. arXiv preprint arXiv:2204.06125.
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