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- # Sentiment140 β€” Embeddings + Generation (Final Project Demo)
 
 
 
 
 
 
 
 
 
 
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- This Space loads a small sample of Sentiment140, cleans tweets, and:
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- 1) Finds the top-3 most similar tweets to your input across selected embedding models.
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- 2) Generates tweets with DistilGPT-2 and selects the best by semantic similarity.
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-
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- ## How to run
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- - Works on CPU with MiniLM; for MPNet/DistilRoBERTa, enable GPU in Space settings.
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- - Env var: SAMPLE_SIZE (default 5000).
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-
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- ## Files
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- - `app.py` β€” Gradio app
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- - `requirements.txt` β€” dependencies
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- - `README.md` β€” this file
 
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+ ---
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+ title: Tweet UI
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+ emoji: πŸ“š
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+ colorFrom: gray
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+ colorTo: pink
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+ sdk: gradio
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+ sdk_version: 5.42.0
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+ app_file: app.py
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+ pinned: false
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+ license: mit
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+ short_description: Find similar tweets and generate new ones.
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+ ---