Spaces:
Running
Running
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README.md
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title: Github
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emoji: π»
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colorFrom: indigo
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colorTo: red
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sdk: gradio
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sdk_version:
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app_file: app.py
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pinned: false
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license: apache-2.0
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short_description: Github to HuggingFace
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hf_oauth: true
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hf_oauth_scopes:
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- read-repos
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- write-repos
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LLM Fine-tunes Every Detail
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Fireworks AI's large language model carefully configures parameter slider ranges, input validation, error handling, and result formatting. The demo looks as polished as if an experienced developer created it.
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π The Power of Bidirectional Conversion
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GitHub to HuggingFace
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A model completed on GitHub in the morning becomes a live web demo shared at lunch. AI automatically generates the Gradio interface, eliminating the need for separate frontend development.
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HuggingFace to GitHub
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Code experimented and improved in Spaces exports to GitHub for version control in the evening. Collaborate with team members through PRs and connect to CI/CD pipelines.
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---
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title: Github to Huggingface
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emoji: π»
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colorFrom: indigo
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colorTo: red
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sdk: gradio
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sdk_version: 6.3.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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short_description: Github to HuggingFace Repository Transfer
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hf_oauth: true
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hf_oauth_scopes:
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- read-repos
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- write-repos
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A tool that lets you freely move projects between GitHub and HuggingFace
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Your code stays the same, and AI automatically creates a web demo for you
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Three powerful features in one click
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Convert GitHub repositories to HuggingFace Spaces
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Export HuggingFace Spaces back to GitHub
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Automatically generate a custom web interface with AI
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AI truly understands your code
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When you upload a repository, AI analyzes the entire project
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It reads requirements.txt, README files, code patterns, and model files
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The system understands what your project does, not just how it looks
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Auto generated interfaces tailored to your project
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Computer vision projects become image upload and visualization demos
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NLP projects become text input and generation interfaces
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Audio projects become recording and waveform visualization apps
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These are not generic templates, but UIs optimized for each project
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LLM fine tunes every detail
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Parameter slider ranges
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Input validation
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Error handling
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Result formatting
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The final demo looks like it was built by an experienced developer
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The real power is bidirectional conversion
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From GitHub to HuggingFace
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A model finished on GitHub in the morning
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Becomes a live web demo on HuggingFace by lunch
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No frontend development required
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From HuggingFace to GitHub
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Code tested and improved in Spaces
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Can be exported back to GitHub in the evening
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Ready for version control, pull requests, and CI CD pipelines
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Extra benefits
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AI automatically resolves dependency conflicts
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Real automation that saves developer time
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In short
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You focus on building
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AI handles deployment and demos
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Move freely between GitHub and HuggingFace
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Showcase your projects instantly with AI generated interfaces π
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