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Sunil Surendra Singh
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Added app flow diagram
Browse files- README.md +13 -9
- assets/app-design-dark.png +3 -0
- assets/app-design.png +3 -0
README.md
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>This application employs a Text2Image model hosted by Huggingface, which is a modified adaptation of the Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation (BLIP) model. First, it generates a descriptive caption for an image. Then, it utilizes this caption to construct a prompt, which is subsequently used with OpenAI's GPT-3.5 to create engaging stories based on the provided picture.
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## App Details
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<img src="https://github.com/sssingh/pic-to-story/blob/main/assets/story-teller-app.png?raw=true" width="1000" height="450"/><br><br>
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**Dark Mode Toggle**: Activate it to switch between dark and light mode.
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**Image Selector**: Click on it to pick an image from your computer, or drag and drop an image onto it directly. Click the 'X' to clear the selection and resets the app.
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**Story Length (in words) Slider**: Adjust the slider to specify the desired length of the generated story.
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**Creativity Index Slider**: Modify the slider to indicate the desired level of creativity for the generated story. A range between 0.5 and 0.7 is recommended. Setting it to 1.0 results in highly creative, sometimes amusing output.
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**Generate Story Button**: Press this button to initiate the story generation process.
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**Clear Button**: Clears all settings and resets the app to its default state.
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**Story Text Area**: This is where the generated story will be displayed.
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**Example Section Expander**: Click to expand the section and access built-in examples for quick testing. Simply select an example, click "Generate Story," and no image upload will be necessary.
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The app includes pre-defined examples for your convenience, allowing you to quickly test its capabilities. Explore the examples section, choose one, and click "Generate Story" without needing to upload an image.
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>This application employs a Text2Image model hosted by Huggingface, which is a modified adaptation of the Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation (BLIP) model. First, it generates a descriptive caption for an image. Then, it utilizes this caption to construct a prompt, which is subsequently used with OpenAI's GPT-3.5 to create engaging stories based on the provided picture.
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## App Flow
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<img src="https://github.com/sssingh/pic-to-story/blob/main/assets/app-design-dark?raw=true" width="1000" height="450"/><br><br>
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Text2Image model details can be found [here](https://huggingface.co/Sof22/image-caption-large-copy)
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## App Details
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<img src="https://github.com/sssingh/pic-to-story/blob/main/assets/story-teller-app.png?raw=true" width="1000" height="450"/><br><br>
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**Dark Mode Toggle**: Activate it to switch between dark and light mode.
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**Image Selector**: Click on it to pick an image from your computer, or drag and drop an image onto it directly. Click the 'X' to clear the selection and resets the app.
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**Story Length (in words) Slider**: Adjust the slider to specify the desired length of the generated story.
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**Creativity Index Slider**: Modify the slider to indicate the desired level of creativity for the generated story. A range between 0.5 and 0.7 is recommended. Setting it to 1.0 results in highly creative, sometimes amusing output.
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**Generate Story Button**: Press this button to initiate the story generation process.
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**Clear Button**: Clears all settings and resets the app to its default state.
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**Story Text Area**: This is where the generated story will be displayed.
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**Example Section Expander**: Click to expand the section and access built-in examples for quick testing. Simply select an example, click "Generate Story," and no image upload will be necessary.
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The app includes pre-defined examples for your convenience, allowing you to quickly test its capabilities. Explore the examples section, choose one, and click "Generate Story" without needing to upload an image.
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assets/app-design-dark.png
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Git LFS Details
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assets/app-design.png
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Git LFS Details
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