Starsessions - Nn !full!

class MyCustomEngine(BaseEngine): def __init__(self, model_path): super().__init__() self.model = load_my_fancy_transformer(model_path)

Give it a spin, and let your users “reach for the stars” in every conversation! 🚀✨ starsessions nn

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: | | Context Buffer | Stores the last

# 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 | Extending the NN Engine from starsessions