Create notebooks/demo Notebook

notebooks/demo Notebook

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+{
+"cells": [
+{
+"cell_type": "markdown",
+"metadata": {},
+"source": [
+"# Shasha Demo Notebook\n",
+"This notebook shows how to programmatically invoke our AI inference pipeline, run sentiment analysis, and generate code examples."
+]
+},
+{
+"cell_type": "code",
+"execution_count": null,
+"metadata": {},
+"outputs": [],
+"source": [
+"# 1. Setup inference client\n",
+"from hf_client import get_inference_client\n",
+"# Initialize client for Qwen3-32B (fallback on Groq if unavailable)\n",
+"client = get_inference_client('Qwen/Qwen3-32B', provider='auto')\n",
+"# Example chat completion request\n",
+"resp = client.chat.completions.create(\n",
+"    model='Qwen/Qwen3-32B',\n",
+"    messages=[{'role':'user','content':'Write a Python function to reverse a string.'}]\n",
+")\n",
+"print(resp.choices[0].message.content)"
+]
+},
+{
+"cell_type": "code",
+"execution_count": null,
+"metadata": {},
+"outputs": [],
+"source": [
+"# 2. Sentiment Analysis with Transformers.js (Python demo)\n",
+"from transformers import pipeline\n",
+"# Using OpenAI provider for sentiment\n",
+"sentiment = pipeline('sentiment-analysis', model='openai/gpt-4', trust_remote_code=True)\n",
+"print(sentiment('I love building AI-powered tools!'))"
+]
+},
+{
+"cell_type": "markdown",
+"metadata": {},
+"source": [
+"---\n",
+"## Next steps:\n",
+"- Try different models (Gemini Pro, Fireworks AI) by changing the model= parameter.\n",
+"- Explore custom plugins via plugins.py to integrate with Slack or GitHub.\n",
+"- Use auth.py to load private files from Google Drive."
+]
+}
+],
+"metadata": {
+"kernelspec": {
+"display_name": "Python 3",
+"language": "python",
+"name": "python3"
+},
+"language_info": {
+"name": "python",
+"version": "3.x"
+}
+},
+"nbformat": 4,
+"nbformat_minor": 5
+}