Update app.py

app.py

@@ -1,3 +1,377 @@
+import gradio as gr
+import os
+import json
+import uuid
+from datetime import datetime
+from groq import Groq
+
+# Set up Groq API key
+GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
+if not GROQ_API_KEY:
+    raise ValueError("GROQ_API_KEY environment variable not set.")
+
+client = Groq(api_key=GROQ_API_KEY)
+
+# Default system prompt
+SYSTEM_PROMPT = (
+    "You are an intelligent, friendly, and highly adaptable Teaching Assistant Chatbot. "
+    "Your mission is to help users of all ages and skill levels—from complete beginners to seasoned professionals—learn Python, Data Science, and Artificial Intelligence. "
+    "You explain concepts clearly using real-world analogies, examples, and interactive exercises. "
+    "You ask questions to assess the learner's level, adapt accordingly, and provide learning paths tailored to their pace and goals. "
+    "Your responses are structured, engaging, and supportive. "
+    "You can explain code snippets, generate exercises and quizzes, and recommend projects. "
+    "You never overwhelm users with jargon. Instead, you scaffold complex concepts in simple, digestible steps."
+)
+
+# Define learning paths
+LEARNING_PATHS = {
+    "python_beginner": {
+        "title": "Python Fundamentals",
+        "description": "Learn Python basics from variables to functions",
+        "modules": [
+            "Variables & Data Types", 
+            "Control Flow", 
+            "Functions", 
+            "Data Structures", 
+            "File I/O"
+        ]
+    },
+    "python_intermediate": {
+        "title": "Intermediate Python",
+        "description": "Advance your Python skills with OOP and more",
+        "modules": [
+            "Object-Oriented Programming", 
+            "Modules & Packages", 
+            "Error Handling", 
+            "List Comprehensions", 
+            "Decorators & Generators"
+        ]
+    },
+    "data_science_beginner": {
+        "title": "Data Science Foundations",
+        "description": "Begin your data science journey",
+        "modules": [
+            "Numpy Basics", 
+            "Pandas Fundamentals", 
+            "Data Visualization", 
+            "Basic Statistics", 
+            "Intro to Machine Learning"
+        ]
+    },
+    "data_science_advanced": {
+        "title": "Advanced Data Science",
+        "description": "Master complex data science concepts",
+        "modules": [
+            "Advanced ML Algorithms", 
+            "Feature Engineering", 
+            "Time Series Analysis", 
+            "Natural Language Processing", 
+            "Deep Learning Basics"
+        ]
+    },
+    "ai_specialization": {
+        "title": "AI Specialization",
+        "description": "Focus on artificial intelligence concepts",
+        "modules": [
+            "Neural Networks", 
+            "Computer Vision", 
+            "Advanced NLP", 
+            "Reinforcement Learning", 
+            "AI Ethics"
+        ]
+    },
+    "generative_ai": {
+        "title": "Generative AI",
+        "description": "Learn how to build and work with generative AI systems",
+        "modules": [
+            "Generative Models Overview", 
+            "GANs & Diffusion Models", 
+            "Large Language Models", 
+            "Prompt Engineering", 
+            "Fine-tuning & RLHF"
+        ]
+    },
+    "agentic_ai": {
+        "title": "Agentic AI Systems",
+        "description": "Explore AI systems that can act autonomously",
+        "modules": [
+            "Foundations of AI Agents", 
+            "Planning & Decision Making", 
+            "Tool-using AI Systems", 
+            "Multi-agent Architectures", 
+            "Human-AI Collaboration"
+        ]
+    }
+}
+
+# Learning resources organized by learning style
+LEARNING_RESOURCES = {
+    "Visual": {
+        "python_beginner": [
+            {"title": "Python Crash Course Visual Guide", "url": "https://nostarch.com/pythoncrashcourse2e"},
+            {"title": "Video Course: Python for Everybody", "url": "https://www.py4e.com/"},
+            {"title": "Python Visualizations and Infographics", "url": "https://python-graph-gallery.com/"},
+            {"title": "Visual Studio Code Python Tutorial", "url": "https://code.visualstudio.com/docs/python/python-tutorial"}
+        ],
+        "python_intermediate": [
+            {"title": "Fluent Python with Visual Examples", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
+            {"title": "Python Design Patterns Visualized", "url": "https://refactoring.guru/design-patterns/python"},
+            {"title": "Interactive Python Visualizer", "url": "https://pythontutor.com/"},
+            {"title": "Visual Guide to Python Testing", "url": "https://pragprog.com/titles/bopytest/python-testing-with-pytest/"}
+        ],
+        "data_science_beginner": [
+            {"title": "Data Visualization with Python and Seaborn", "url": "https://seaborn.pydata.org/tutorial.html"},
+            {"title": "Kaggle Learn: Data Visualization", "url": "https://www.kaggle.com/learn/data-visualization"},
+            {"title": "DataCamp Python Data Visualization", "url": "https://www.datacamp.com/courses/introduction-to-data-visualization-with-python"},
+            {"title": "Plotly Python Graphing Library", "url": "https://plotly.com/python/"}
+        ],
+        "data_science_advanced": [
+            {"title": "Visualization in Machine Learning", "url": "https://machinelearningmastery.com/data-visualization-for-machine-learning/"},
+            {"title": "Visual Hands-On Machine Learning", "url": "https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/"},
+            {"title": "Stanford ML: Visual Guide to Neural Networks", "url": "https://see.stanford.edu/Course/CS229"},
+            {"title": "Animated ML Algorithm Visualizations", "url": "https://www.youtube.com/c/3blue1brown"}
+        ],
+        "ai_specialization": [
+            {"title": "DeepLearning.AI Video Courses", "url": "https://www.deeplearning.ai/"},
+            {"title": "TensorFlow Playground", "url": "https://playground.tensorflow.org/"},
+            {"title": "Visual Guide to Neural Networks", "url": "https://pytorch.org/tutorials/"},
+            {"title": "GANs Explained Visually", "url": "https://poloclub.github.io/ganlab/"}
+        ],
+        "generative_ai": [
+            {"title": "Visualizing Large Language Models", "url": "https://karpathy.ai/zero-to-hero.html"},
+            {"title": "Diffusion Models Visual Guide", "url": "https://huggingface.co/learn/diffusion-models/"},
+            {"title": "Visual Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
+            {"title": "Stable Diffusion Visual Tutorial", "url": "https://stability.ai/learn"}
+        ],
+        "agentic_ai": [
+            {"title": "Visual Guide to LangChain", "url": "https://python.langchain.com/docs/get_started/introduction"},
+            {"title": "Illustrated AutoGen Guide", "url": "https://microsoft.github.io/autogen/"},
+            {"title": "Visual Multi-Agent Simulations", "url": "https://www.anthropic.com/research/debate"},
+            {"title": "Animated Reinforcement Learning", "url": "https://rail.eecs.berkeley.edu/deeprlcourse/"}
+        ]
+    },
+    "Reading/Writing": {
+        "python_beginner": [
+            {"title": "Python Documentation", "url": "https://docs.python.org/3/"},
+            {"title": "Real Python Text Tutorials", "url": "https://realpython.com/"},
+            {"title": "Automate the Boring Stuff with Python", "url": "https://automatetheboringstuff.com/"},
+            {"title": "Think Python (Free eBook)", "url": "https://greenteapress.com/wp/think-python-2e/"}
+        ],
+        "python_intermediate": [
+            {"title": "Fluent Python (Book)", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
+            {"title": "Effective Python (Book)", "url": "https://effectivepython.com/"},
+            {"title": "Python Cookbook (Book)", "url": "https://www.oreilly.com/library/view/python-cookbook-3rd/9781449357337/"},
+            {"title": "Full Stack Python (Text Tutorials)", "url": "https://www.fullstackpython.com/"}
+        ],
+        "data_science_beginner": [
+            {"title": "Python Data Science Handbook", "url": "https://jakevdp.github.io/PythonDataScienceHandbook/"},
+            {"title": "Towards Data Science (Articles)", "url": "https://towardsdatascience.com/"},
+            {"title": "Introduction to Statistical Learning", "url": "https://www.statlearning.com/"},
+            {"title": "Data Science from Scratch (Book)", "url": "https://www.oreilly.com/library/view/data-science-from/9781492041122/"}
+        ],
+        "data_science_advanced": [
+            {"title": "Machine Learning Mastery (Text Tutorials)", "url": "https://machinelearningmastery.com/"},
+            {"title": "Deep Learning Book", "url": "https://www.deeplearningbook.org/"},
+            {"title": "Elements of Statistical Learning", "url": "https://web.stanford.edu/~hastie/ElemStatLearn/"},
+            {"title": "Dive into Deep Learning", "url": "https://d2l.ai/"}
+        ],
+        "ai_specialization": [
+            {"title": "Artificial Intelligence: A Modern Approach", "url": "http://aima.cs.berkeley.edu/"},
+            {"title": "Deep Learning (Book)", "url": "https://www.deeplearningbook.org/"},
+            {"title": "Stanford ML Course Notes", "url": "https://see.stanford.edu/Course/CS229"},
+            {"title": "ArXiv Machine Learning Papers", "url": "https://arxiv.org/list/cs.LG/recent"}
+        ],
+        "generative_ai": [
+            {"title": "LLM Introduction Paper", "url": "https://arxiv.org/abs/2303.18223"},
+            {"title": "Generative AI Guide (eBook)", "url": "https://www.oreilly.com/library/view/generative-deep-learning/9781492041931/"},
+            {"title": "Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
+            {"title": "Stanford CS324: LLM Course Notes", "url": "https://stanford-cs324.github.io/winter2022/"}
+        ],
+        "agentic_ai": [
+            {"title": "LangChain Documentation", "url": "https://python.langchain.com/docs/get_started/introduction"},
+            {"title": "Agentic AI Papers Collection", "url": "https://arxiv.org/abs/2304.03442"},
+            {"title": "Multi-Agent Debate Research", "url": "https://www.anthropic.com/research/debate"},
+            {"title": "Reinforcement Learning: An Introduction", "url": "http://incompleteideas.net/book/the-book-2nd.html"}
+        ]
+    },
+    "Hands-on Projects": {
+        "python_beginner": [
+            {"title": "Project-Based Python Tutorial", "url": "https://projectbasedpython.com/"},
+            {"title": "Exercism: Python Track", "url": "https://exercism.org/tracks/python"},
+            {"title": "Python Project Ideas with Code", "url": "https://github.com/topics/python-projects"},
+            {"title": "Build 5 Mini Python Projects", "url": "https://www.freecodecamp.org/news/python-projects-for-beginners/"}
+        ],
+        "python_intermediate": [
+            {"title": "Django Project Tutorial", "url": "https://docs.djangoproject.com/en/stable/intro/tutorial01/"},
+            {"title": "Flask Mega-Tutorial", "url": "https://blog.miguelgrinberg.com/post/the-flask-mega-tutorial-part-i-hello-world"},
+            {"title": "Python Project Cookbook", "url": "https://pythonprojectcookbook.com/"},
+            {"title": "Real-world Python Projects", "url": "https://realpython.com/tutorials/projects/"}
+        ],
+        "data_science_beginner": [
+            {"title": "Kaggle: Intro to Machine Learning", "url": "https://www.kaggle.com/learn/intro-to-machine-learning"},
+            {"title": "Data Science Projects with Python", "url": "https://github.com/PacktPublishing/Data-Science-Projects-with-Python"},
+            {"title": "DataCamp Projects", "url": "https://www.datacamp.com/projects"},
+            {"title": "Practical Data Analysis Projects", "url": "https://www.dataquest.io/data-science-projects/"}
+        ],
+        "data_science_advanced": [
+            {"title": "Applied Machine Learning Projects", "url": "https://github.com/practical-tutorials/project-based-learning#python"},
+            {"title": "Kaggle Competitions", "url": "https://www.kaggle.com/competitions"},
+            {"title": "Building ML Pipelines", "url": "https://www.oreilly.com/library/view/building-machine-learning/9781492053187/"},
+            {"title": "ML Project Walkthroughs", "url": "https://machinelearningmastery.com/start-here/#projects"}
+        ],
+        "ai_specialization": [
+            {"title": "TensorFlow Tutorials & Projects", "url": "https://www.tensorflow.org/tutorials"},
+            {"title": "PyTorch Projects Collection", "url": "https://pytorch.org/tutorials/beginner/pytorch_with_examples.html"},
+            {"title": "Hugging Face Project Walkthroughs", "url": "https://huggingface.co/learn"},
+            {"title": "Computer Vision Projects", "url": "https://www.pyimagesearch.com/"}
+        ],
+        "generative_ai": [
+            {"title": "Build Your Own LLM Application", "url": "https://buildyourowngpt.com/"},
+            {"title": "Generative Art Projects", "url": "https://genart.tech/"},
+            {"title": "LangChain Project Tutorials", "url": "https://python.langchain.com/docs/get_started/introduction"},
+            {"title": "Fine-tuning LLMs: Hands-on Guide", "url": "https://huggingface.co/blog/how-to-train"}
+        ],
+        "agentic_ai": [
+            {"title": "Build an AI Agent with LangChain", "url": "https://python.langchain.com/docs/use_cases/autonomous_agents"},
+            {"title": "AutoGen Projects", "url": "https://microsoft.github.io/autogen/docs/examples/"},
+            {"title": "Building Autonomous AI Systems", "url": "https://github.com/yoheinakajima/babyagi"},
+            {"title": "Tool-using AI Projects", "url": "https://github.com/hwchase17/langchain-experiments"}
+        ]
+    },
+    "Video Tutorials": {
+        "python_beginner": [
+            {"title": "Python Full Course for Beginners", "url": "https://www.youtube.com/watch?v=_uQrJ0TkZlc"},
+            {"title": "CS50's Introduction to Programming with Python", "url": "https://cs50.harvard.edu/python/"},
+            {"title": "Python Tutorial - Python for Beginners", "url": "https://www.youtube.com/watch?v=_uQrJ0TkZlc"},
+            {"title": "freeCodeCamp Python Course", "url": "https://www.freecodecamp.org/learn/scientific-computing-with-python/"}
+        ],
+        "python_intermediate": [
+            {"title": "Corey Schafer Python Tutorials", "url": "https://www.youtube.com/user/schafer5"},
+            {"title": "Advanced Python Features", "url": "https://www.youtube.com/playlist?list=PLP8GkvaIxJP0VAXF3USi9U4JnpxnHjT_"},
+            {"title": "Python OOP Tutorials", "url": "https://www.youtube.com/playlist?list=PLzMcBGfZo4-l1MqB1zoYfqzlj_HH-ZzXt"},
+            {"title": "MIT OpenCourseWare: Python", "url": "https://ocw.mit.edu/courses/6-0001-introduction-to-computer-science-and-programming-in-python-fall-2016/"}
+        ],
+        "data_science_beginner": [
+            {"title": "Python for Data Science Course", "url": "https://www.youtube.com/watch?v=LHBE6Q9XlzI"},
+            {"title": "Data Analysis with Python - Full Course", "url": "https://www.youtube.com/watch?v=r-uOLxNrNk8"},
+            {"title": "Statistics Fundamentals", "url": "https://www.youtube.com/playlist?list=PLblh5JKOoLUK0FLuzwntyYI10UQFUhsY9"},
+            {"title": "freeCodeCamp Data Analysis Course", "url": "https://www.freecodecamp.org/learn/data-analysis-with-python/"}
+        ],
+        "data_science_advanced": [
+            {"title": "StatQuest: Machine Learning", "url": "https://www.youtube.com/playlist?list=PLblh5JKOoLUIcdlgu78MnlATeyx4cEVeR"},
+            {"title": "Machine Learning Course by Andrew Ng", "url": "https://www.coursera.org/learn/machine-learning"},
+            {"title": "Deep Learning Specialization", "url": "https://www.deeplearning.ai/deep-learning-specialization/"},
+            {"title": "Data Science Full Course", "url": "https://www.youtube.com/watch?v=ua-CiDNNj30"}
+        ],
+        "ai_specialization": [
+            {"title": "Stanford CS231n: CNN for Visual Recognition", "url": "https://www.youtube.com/playlist?list=PL3FW7Lu3i5JvHM8ljYj-zLfQRF3EO8sYv"},
+            {"title": "Deep Learning Lectures by Lex Fridman", "url": "https://www.youtube.com/playlist?list=PLrAXtmErZgOeiKm4sgNOknGvNjby9efdf"},
+            {"title": "MIT 6.S191: Introduction to Deep Learning", "url": "http://introtodeeplearning.com/"},
+            {"title": "Stanford CS224N: NLP with Deep Learning", "url": "https://www.youtube.com/playlist?list=PLoROMvodv4rOhcuXMZkNm7j3fVwBBY42z"}
+        ],
+        "generative_ai": [
+            {"title": "Neural Networks: Zero to Hero", "url": "https://karpathy.ai/zero-to-hero.html"},
+            {"title": "LLM Bootcamp", "url": "https://www.youtube.com/watch?v=twHxmU9OxDU"},
+            {"title": "Diffusion Models Explained", "url": "https://www.youtube.com/watch?v=fbLgFrlTnGU"},
+            {"title": "Prompt Engineering for LLMs", "url": "https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/"}
+        ],
+        "agentic_ai": [
+            {"title": "Building AI Agents with LangChain", "url": "https://www.youtube.com/watch?v=iw2Wcw7qPuE"},
+            {"title": "LLM Agents Tutorial", "url": "https://www.youtube.com/watch?v=RUzgloRlHIc"},
+            {"title": "Reinforcement Learning Course", "url": "https://www.youtube.com/playlist?list=PLqYmG7hTraZDM-OYHWgPebj2MfCFzFObQ"},
+            {"title": "AutoGPT and Multi-Agent Systems", "url": "https://www.youtube.com/watch?v=4YaILFaUXTo"}
+        ]
+    },
+    "Interactive Exercises": {
+        "python_beginner": [
+            {"title": "CodeCademy Python Course", "url": "https://www.codecademy.com/learn/learn-python-3"},
+            {"title": "CheckiO Python Challenges", "url": "https://py.checkio.org/"},
+            {"title": "Python Tutor", "url": "https://pythontutor.com/"},
+            {"title": "HackerRank Python Practice", "url": "https://www.hackerrank.com/domains/python"}
+        ],
+        "python_intermediate": [
+            {"title": "Exercism Python Track", "url": "https://exercism.org/tracks/python"},
+            {"title": "CodeWars Python Challenges", "url": "https://www.codewars.com/?language=python"},
+            {"title": "LeetCode Python Problems", "url": "https://leetcode.com/problemset/all/?difficulty=EASY&page=1&languageTags=python"},
+            {"title": "Project Euler", "url": "https://projecteuler.net/"}
+        ],
+        "data_science_beginner": [
+            {"title": "DataCamp Interactive Courses", "url": "https://www.datacamp.com/courses/free-introduction-to-r"},
+            {"title": "Kaggle Learn Interactive Tutorials", "url": "https://www.kaggle.com/learn/overview"},
+            {"title": "DataQuest Interactive Data Science", "url": "https://www.dataquest.io/"},
+            {"title": "Google's Data Analytics Course", "url": "https://www.coursera.org/professional-certificates/google-data-analytics"}
+        ],
+        "data_science_advanced": [
+            {"title": "Interactive ML Course", "url": "https://www.coursera.org/learn/machine-learning"},
+            {"title": "Kaggle Interactive Competitions", "url": "https://www.kaggle.com/competitions"},
+            {"title": "Interactive Deep Learning", "url": "https://www.deeplearning.ai/courses/"},
+            {"title": "Machine Learning Playground", "url": "https://ml-playground.com/"}
+        ],
+        "ai_specialization": [
+            {"title": "TensorFlow Playground", "url": "https://playground.tensorflow.org/"},
+            {"title": "Interactive Neural Network Builder", "url": "https://alexlenail.me/NN-SVG/"},
+            {"title": "AI Experiments with Google", "url": "https://experiments.withgoogle.com/collection/ai"},
+            {"title": "OpenAI Gym", "url": "https://www.gymlibrary.dev/"}
+        ],
+        "generative_ai": [
+            {"title": "Hugging Face Spaces", "url": "https://huggingface.co/spaces"},
+            {"title": "Interactive LLM Playground", "url": "https://platform.openai.com/playground"},
+            {"title": "Interactive Stable Diffusion", "url": "https://huggingface.co/spaces/stabilityai/stable-diffusion"},
+            {"title": "GPT-4 Interactive Demos", "url": "https://chat.openai.com/"}
+        ],
+        "agentic_ai": [
+            {"title": "LangChain Interactive Tutorials", "url": "https://python.langchain.com/docs/get_started/introduction"},
+            {"title": "Interactive AI Agent Builder", "url": "https://github.com/microsoft/TaskMatrix"},
+            {"title": "AutoGen Playground", "url": "https://microsoft.github.io/autogen/"},
+            {"title": "Reinforcement Learning Interactive Course", "url": "https://www.coursera.org/specializations/reinforcement-learning"}
+        ]
+    },
+    "Combination": {
+        "python_beginner": [
+            {"title": "Python Documentation", "url": "https://docs.python.org/3/"},
+            {"title": "Real Python", "url": "https://realpython.com/"},
+            {"title": "Python for Everybody", "url": "https://www.py4e.com/"},
+            {"title": "Automate the Boring Stuff with Python", "url": "https://automatetheboringstuff.com/"}
+        ],
+        "python_intermediate": [
+            {"title": "Fluent Python", "url": "https://www.oreilly.com/library/view/fluent-python-2nd/9781492056348/"},
+            {"title": "Python Design Patterns", "url": "https://refactoring.guru/design-patterns/python"},
+            {"title": "Full Stack Python", "url": "https://www.fullstackpython.com/"},
+            {"title": "Python Testing with pytest", "url": "https://pragprog.com/titles/bopytest/python-testing-with-pytest/"}
+        ],
+        "data_science_beginner": [
+            {"title": "Kaggle Learn", "url": "https://www.kaggle.com/learn"},
+            {"title": "Towards Data Science", "url": "https://towardsdatascience.com/"},
+            {"title": "DataCamp", "url": "https://www.datacamp.com/"},
+            {"title": "Python Data Science Handbook", "url": "https://jakevdp.github.io/PythonDataScienceHandbook/"}
+        ],
+        "data_science_advanced": [
+            {"title": "Machine Learning Mastery", "url": "https://machinelearningmastery.com/"},
+            {"title": "Hands-On Machine Learning with Scikit-Learn", "url": "https://www.oreilly.com/library/view/hands-on-machine-learning/9781492032632/"},
+            {"title": "Fast.ai", "url": "https://www.fast.ai/"},
+            {"title": "Stanford CS229: Machine Learning", "url": "https://see.stanford.edu/Course/CS229"}
+        ],
+        "ai_specialization": [
+            {"title": "DeepLearning.AI", "url": "https://www.deeplearning.ai/"},
+            {"title": "TensorFlow Tutorials", "url": "https://www.tensorflow.org/tutorials"},
+            {"title": "PyTorch Tutorials", "url": "https://pytorch.org/tutorials/"},
+            {"title": "Hugging Face Course", "url": "https://huggingface.co/learn"}
+        ],
+        "generative_ai": [
+            {"title": "Andrej Karpathy's Neural Networks Course", "url": "https://karpathy.ai/zero-to-hero.html"},
+            {"title": "Hugging Face Diffusion Models Course", "url": "https://huggingface.co/learn/diffusion-models/"},
+            {"title": "Prompt Engineering Guide", "url": "https://www.promptingguide.ai/"},
+            {"title": "Stanford CS324: Large Language Models", "url": "https://stanford-cs324.github.io/winter2022/"}
+        ],
+        "agentic_ai": [
+            {"title": "LangChain Documentation", "url": "https://python.langchain.com/docs/get_started/introduction"},
+            {"title": "Microsoft AutoGen", "url": "https://microsoft.github.io/autogen/"},
+            {"title": "Multi-Agent Debate by Anthropic", "url": "https://www.anthropic.com/research/debate"},
+            {"title": "Berkeley CS285: Deep Reinforcement Learning", "url": "https://rail.eecs.berkeley.edu/deeprlcourse/"}
+        ]
+    }
+}
+
 PROJECT_IDEAS = {
     "Visual": {
         "python_beginner": [