# 3️⃣ Run the demo session python examples/run_demo.py You’ll see a minimal web UI at http://localhost:8000 where you can type messages and watch the NN generate responses while the star‑progress bar fills. | Concept | One‑Line Definition | |---------|----------------------| | Session | A self‑contained conversation or interaction that retains state across turns. | | Context Buffer | Stores the last N tokens (default = 512) to give the model the necessary history. | | Star‑Score | A normalized confidence metric (0–5★) displayed as a star rating; useful for quick human review. | | Persistence Layer | Optional SQLite/Redis store that lets you resume a session after a server restart. | Extending the NN Engine from starsessions.nn import BaseEngine
def generate(self, prompt, context): # Combine prompt + context, feed into the model return self.model.generate(prompt + context, max_length=150) Swap the engine in the config: starsessions nn
class MyCustomEngine(BaseEngine): def __init__(self, model_path): super().__init__() self.model = load_my_fancy_transformer(model_path) # 3️⃣ Run the demo session python examples/run_demo
Give it a spin, and let your users “reach for the stars” in every conversation! 🚀✨ | | Star‑Score | A normalized confidence metric
What It Is Starsessions NN is a lightweight, open‑source framework for building and running neural‑network‑driven “session” experiences . Think of it as a toolkit that lets developers create interactive, AI‑enhanced sessions—whether they’re chat‑bots, tutoring modules, or creative‑writing assistants—while keeping the focus on star‑themed or high‑visibility use‑cases (hence the “Star” prefix).