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Upload README.md with huggingface_hub

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  # Color Name to RGB Predictor
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  Gradio web UI for predicting RGB colors from color names using FastText + BiLSTM.
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  # Open http://localhost:7861
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  ```
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- ## Deploy to Hugging Face Spaces
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- 1. Create new Space: https://huggingface.co/new-space
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- 2. Select "Gradio" SDK
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- 3. Choose "T4 GPU" (free tier) or "CPU basic"
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- 4. Push files:
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- ```bash
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- git lfs install
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- git init
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- git add app.py best_fasttext_model.ft test_best_color_model.pt requirements.txt README.md
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- git commit -m "Add color predictor"
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- git remote add origin https://huggingface.co/spaces/<username>/<space-name>
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- git push
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- ```
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-
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  ## Files
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  - `app.py` - Gradio web application
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  - `best_fasttext_model.ft` - FastText embeddings (11,678 vocab)
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- - `test_best_color_model.pt` - BiLSTM model (epoch 4, val_loss=0.00295)
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  - `requirements.txt` - Python dependencies
 
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+ ---
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+ title: "Text to Color Predictor"
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+ emoji: "🎨"
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+ colorFrom: "blue"
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+ colorTo: "purple"
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+ sdk: "gradio"
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+ sdk_version: "6.16.0"
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+ app_file: "app.py"
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+ pinned: false
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+ license: "mit"
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+ ---
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+
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  # Color Name to RGB Predictor
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  Gradio web UI for predicting RGB colors from color names using FastText + BiLSTM.
 
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  # Open http://localhost:7861
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  ```
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  ## Files
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  - `app.py` - Gradio web application
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  - `best_fasttext_model.ft` - FastText embeddings (11,678 vocab)
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+ - `best_color_model.pt` - BiLSTM model (epoch 34, val_loss=0.002357)
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  - `requirements.txt` - Python dependencies