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README.md
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## π·οΈ Tags
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`custom-component-track`
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# Tools used -
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### 1) Modal - For app deployment (The workflow can automatically deploy apps onto Modal on its own).
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### 5) HuggingFace - Spaces, Models (Supports multiple models from huggingface)
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### 6) Gradio - Custom Components
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## π Live Demo
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π **[Try FlowForge Live](https://huggingface.co/spaces/Agents-MCP-Hackathon/FlowLab)**
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## πΉ Demo Video
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π₯ **[Watch FlowForge in Action](https://youtu.be/CWke5xgyPLQ)**
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**Shows the complete workflow creation, design, and deployment process**
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## β¨ What is FlowLab?
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FlowForge revolutionizes AI app development by providing a visual, no-code interface for creating sophisticated AI workflows. Instead of writing complex code, users simply drag and drop components, connect them visually, and deploy production-ready applications.
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## π·οΈ Tags
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`custom-component-track`
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## π Live Demo
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π **[Try FlowForge Live](https://huggingface.co/spaces/Agents-MCP-Hackathon/FlowLab)**
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## πΉ Demo Video
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π₯ **[Watch FlowForge in Action](https://youtu.be/CWke5xgyPLQ)**
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**Shows the complete workflow creation, design, and deployment process**
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# Tools used -
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### 1) Modal - For app deployment (The workflow can automatically deploy apps onto Modal on its own).
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### 5) HuggingFace - Spaces, Models (Supports multiple models from huggingface)
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### 6) Gradio - Custom Components
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## β¨ What is FlowLab?
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FlowForge revolutionizes AI app development by providing a visual, no-code interface for creating sophisticated AI workflows. Instead of writing complex code, users simply drag and drop components, connect them visually, and deploy production-ready applications.
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