Add learning assistant example

Author: devops-vestradata

examples/python/tools/exa-tool/learning_assistant.py

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+# ===============================
+# 1. 📘 Project Title & Purpose
+# ===============================
+# """
+# AI‑Powered Personalized Learning Assistant with Smart Content Chatbot
+
+# This assistant helps users learn any topic by chatting with an AI tutor. 
+# It uses PraisonAI Agents, OpenAI API, and Transformers to deliver answers clearly.
+# """
+
+# ============================
+# 2. 📦 Dependencies Required
+# ============================
+# """
+# Required Libraries:
+# - praisonaiagents
+# - openai
+# - transformers
+
+# Make sure to install these in Colab or terminal:
+# !pip install praisonaiagents openai transformers
+# """
+
+# =====================
+# 3. 🧰 Tools Used
+# =====================
+# """
+# ✅ praisonaiagents – Builds the smart tutoring agent  
+# ✅ openai – Uses OpenAI GPT for accurate answers  
+# ✅ transformers – Fallback model using GPT-2  
+# ✅ Python I/O – Simple interactive CLI using input/print
+# """
+
+# ============================
+# 4. 🔐 Set OpenAI API Key
+# ============================
+import os
+os.environ['OPENAI_API_KEY'] = input('Enter your OpenAI API key: ')
+
+# ================================
+# 5. 🧠 Initialize AI Agent + Fallback
+# ================================
+from praisonaiagents import Agent
+from transformers import pipeline as hf_pipeline
+import openai
+
+openai.api_key = os.getenv('OPENAI_API_KEY')
+hf_chatbot = hf_pipeline('text-generation', model='gpt2')
+
+agent = Agent(instructions='You are a friendly tutor. Answer learner questions clearly and helpfully.')
+
+def chat_with_ai(user_input):
+    try:
+        return agent.start(user_input)
+    except Exception as e:
+        print('[Fallback GPT-2]', e)
+        return hf_chatbot(user_input, max_length=100)[0]['generated_text']
+
+# ============================
+# 6. 💬 Interactive Chat Loop
+# ============================
+print("Start chatting with your AI tutor! Type 'exit' to quit.")
+while True:
+    user_input = input('You: ')
+    if user_input.lower() in ['exit', 'quit']:
+        print('Goodbye! Happy learning!')
+        break
+    response = chat_with_ai(user_input)
+    print('🤖 Tutor:', response)