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A newer version of the Gradio SDK is available:
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metadata
title: Beam Search Demo
emoji: 🌍
colorFrom: green
colorTo: indigo
sdk: gradio
sdk_version: 5.16.2
app_file: app.py
pinned: false
license: mit
short_description: Beam Search vs Greedy Search Demo
Welcome to the Beam Search vs Greedy Search Demo repository! This educational demo illustrates two text generation strategies in LLM inference using the Qwen2.5-0.5B model.
This demo compares:
- Greedy Search: Picks the most probable token at every generation step (deterministic).
- Beam Search: Explores multiple beams concurrently and returns the top candidate, often achieving more coherent or creative outputs.