Commit ·
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1
Parent(s): cbdaf60
Demo video
Browse files
README.md
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@@ -31,6 +31,12 @@ No cloud. No API bill. Two small models running quietly on your machine.
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---
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## Why this fits Thousand Token Wood
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Working inside a tight token budget is not a limitation to work around — it is the problem worth solving. LLM context windows are finite, prompt costs are real, and bloated inputs degrade output quality. TinyPress treats the token count as a hard constraint and makes compression the primary interaction: you set the budget, the model meets it, and a quality score tells you how much meaning survived.
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## Demo
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[](https://youtu.be/hDbIDtjjiB0)
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---
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## Why this fits Thousand Token Wood
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Working inside a tight token budget is not a limitation to work around — it is the problem worth solving. LLM context windows are finite, prompt costs are real, and bloated inputs degrade output quality. TinyPress treats the token count as a hard constraint and makes compression the primary interaction: you set the budget, the model meets it, and a quality score tells you how much meaning survived.
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app.py
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@@ -21,7 +21,7 @@ if __name__ == "__main__":
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print("Starting TinyPress...")
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app = build_app()
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app.launch(
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share =
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debug = True,
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server_port = config.SERVER_PORT
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)
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print("Starting TinyPress...")
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app = build_app()
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app.launch(
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share = False,
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debug = True,
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server_port = config.SERVER_PORT
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)
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