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transformers import pipeline\n", "import os\n", "import json\n", "from langchain.docstore.document import Document" ], "metadata": { "id": "ubHRlIdj-87L" }, "execution_count": 2, "outputs": [] }, { "cell_type": "code", "source": [ "os.environ[\"HUGGINGFACEHUB_API_TOKEN\"] = \"HUGGINGFACE_API_TOKEN\"" ], "metadata": { "id": "3AoXdV1F_tb-" }, "execution_count": 3, "outputs": [] }, { "cell_type": "code", "source": [ "def store_embeddings_in_faiss(courses, index_file=\"faiss_course_index.pkl\"):\n", " model = SentenceTransformer(\"all-MiniLM-L6-v2\")\n", " descriptions = [course['description'] for course in courses]\n", " embeddings = model.encode(descriptions)\n", " dimension = embeddings.shape[1]\n", " index = faiss.IndexFlatL2(dimension)\n", " index.add(embeddings)\n", " print(f\"Stored embeddings for {len(courses)} courses in FAISS successfully.\")\n", " metadata = [\n", " {\n", " 'title': course['title'],\n", " 'description': course['description'],\n", " 'lessons': course['lessons']\n", " }\n", " for course in courses\n", " ]\n", " with open(index_file, \"wb\") as f:\n", " pickle.dump({\"index\": index, \"metadata\": metadata}, f)\n", " print(f\"FAISS index and metadata saved to {index_file}.\")\n" ], "metadata": { "id": "dYkmLpKZADTO" }, "execution_count": 7, "outputs": [] }, { "cell_type": "code", "source": [ "def search_faiss_index(query, index_file=\"faiss_course_index.pkl\", top_k=5):\n", " with open(index_file, \"rb\") as f:\n", " faiss_index = pickle.load(f)\n", "\n", " embedding_model = SentenceTransformer(\"all-MiniLM-L6-v2\")\n", " query_embedding = embedding_model.encode([query])\n", " results = faiss_index['index'].search(query_embedding, top_k)\n", "\n", " if results[1].size == 0:\n", " return \"No relevant courses found.\"\n", "\n", " docs = [{\"metadata\": faiss_index['metadata'][i], \"text\": faiss_index['metadata'][i][\"description\"]} for i in results[1][0]]\n", " return docs\n" ], "metadata": { "id": "Nai9B5mSAOOX" }, "execution_count": 5, "outputs": [] }, { "cell_type": "code", "source": [ "def load_data(json_file):\n", " with open(json_file, \"r\") as file:\n", " return json.load(file)\n" ], "metadata": { "id": "-C9nGM4HAWQj" }, "execution_count": 6, "outputs": [] }, { "cell_type": "code", "source": [ "def load_faiss_index(index_file=\"faiss_course_index.pkl\"):\n", " with open(index_file, \"rb\") as f:\n", " return pickle.load(f)\n", "\n", "def get_faiss_retriever(index_file=\"faiss_course_index.pkl\"):\n", " faiss_index = load_faiss_index(index_file)\n", " documents = [Document(page_content=item['description'], metadata=item) for item in faiss_index['metadata']]\n", " retriever = FAISS.from_documents(documents, HuggingFaceEmbeddings(model_name=\"all-MiniLM-L6-v2\")).as_retriever()\n", " return retriever" ], "metadata": { "id": "YffLv3PsAprz" }, "execution_count": 8, "outputs": [] }, { "cell_type": "code", "source": [ "def get_answer_from_t5(query, context):\n", " t5_pipeline = pipeline(\"text2text-generation\", model=\"t5-small\")\n", " input_text = f\"Question: {query} Context: {context}\"\n", " answer = t5_pipeline(input_text, max_length=300, truncation=True)\n", " return answer[0]['generated_text']" ], "metadata": { "id": "JATX1aYdA7iw" }, "execution_count": 18, "outputs": [] }, { "cell_type": "code", "source": [ "def retrieve_and_answer(query):\n", " retrieved_docs = search_faiss_index(query)\n", "\n", " if retrieved_docs:\n", " context = \" \".join([doc['text'] for doc in retrieved_docs])\n", " answer = get_answer_from_t5(query, context)\n", " return answer\n", " else:\n", " return \"No relevant documents found.\"" ], "metadata": { "id": "zWJPFCA8A-Id" }, "execution_count": 10, "outputs": [] }, { "cell_type": "code", "source": [ "data = load_data(\"free_courses.json\")\n", "store_embeddings_in_faiss(data)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/", "height": 528, "referenced_widgets": [ "5cf745f07b2b4a088030b518face4be0", 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"52a07d01cb2a47d7bfc36d36f7960775", "46045cd36c9444d6bcb161d50e25afad", "4a432b4268904761a76f09f9be8402d8", "e13c09bcc35043d6886b81df4224a8b3", "48ac04a226f14f2ca3bad6d109df665a", "52593229923646f5ad170593326782c2", "5d434e95aa0543c192d49d39a8e39c97", "f56c29f6fe2e45c2bbb58665e7114d31", "798a8903d6344bf5a84ca22a823d3ca3", "88d515f5b61149cbb584dbabf73f1584", "1dc142d431e241c28b4ed630d7607dbb", "bc1dccf994444d6aa2537a10eed5d42d" ] }, "id": "HbhvkWPtBBGP", "outputId": "1d532e5e-9679-4672-988a-6a917cf5ccc3" }, "execution_count": 12, "outputs": [ { "output_type": "stream", "name": "stderr", "text": [ "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n", "The secret `HF_TOKEN` does not exist in your Colab secrets.\n", "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n", "You will be able to reuse this secret in all of your notebooks.\n", "Please note that authentication is recommended but still optional to access public models or datasets.\n", " warnings.warn(\n" ] }, { "output_type": "display_data", "data": { "text/plain": [ "modules.json: 0%| | 0.00/349 [00:00 512). Running this sequence through the model will result in indexing errors\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "This course features top data science hackers and experts, including Sudalai Rajkumar (SR\n" ] } ] }, { "cell_type": "code", "source": [ "def search_and_answer(query):\n", " retriever = get_faiss_retriever(index_file = \"faiss_course_index.pkl\")\n", " retrieved_docs = retriever.get_relevant_documents(query)\n", " if not retrieved_docs:\n", " return \"No relevant courses found.\"\n", " count = len(retrieved_docs)\n", " print(f\"Related Courses: {count}\")\n", " course_info = [(doc.metadata.get('title', 'No Title'), doc.metadata.get('lessons', 'No lessons listed')) for doc in retrieved_docs]\n", " response = \"\"\n", " if course_info:\n", " response += \"\\nRelated Courses:\\n\"\n", " for course_title, course_lessons in course_info:\n", " response += f\"Course Title: {course_title}\\nCourse Lessons: {course_lessons}\\n\\n\"\n", " context = retrieved_docs[0].page_content if retrieved_docs else \"No relevant documnets found.\"\n", " summary = get_answer_from_t5(query, context)\n", " response += f\"Summary: {summary}\"\n", " else:\n", " response = \"No relevant courses found.\"\n", "\n", " return response\n" ], "metadata": { "id": "AYUoxRKqDsbG" }, "execution_count": 19, "outputs": [] }, { "cell_type": "code", "source": [ "query = \"What courses cover machine learning?\"\n", "response = search_and_answer(query)\n", "print(response)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "QYwnyNgDEHJY", "outputId": "11ce30f3-ba7b-4682-f749-8bcb36af7697" }, "execution_count": 20, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Related Courses: 4\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "Device set to use cuda:0\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Related Courses:\n", "Course Title: Winning Data Science Hackathons - Learn from Elite Data Scientists\n", "Course Lessons: 7 Lessons\n", "\n", "Course Title: Machine Learning Summer Training\n", "Course Lessons: 263 Lessons\n", "\n", "Course Title: Support Vector Machine (SVM) in Python and R\n", "Course Lessons: 13 Lessons\n", "\n", "Course Title: Applied Machine Learning - Beginner to Professional\n", "Course Lessons: 612 Lessons\n", "\n", "Summary: This course features top data science hackers and experts, including Sudalai Rajkumar (SRK), Dipanjan Sarkar, Rohan Rao, Kiran R and many more!\n" ] } ] }, { "cell_type": "code", "source": [ "query2 = \"What courses cover deep learning?\"\n", "response2 = search_and_answer(query2)\n", "print(response2)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "yKyCqCqzHlCz", "outputId": "a52f82f0-4dc8-4b91-d647-a0560085111b" }, "execution_count": 21, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Related Courses: 4\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "Device set to use cuda:0\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Related Courses:\n", "Course Title: Getting Started with Deep Learning\n", "Course Lessons: 299 Lessons\n", "\n", "Course Title: The Working of Neural Networks - Free Course\n", "Course Lessons: 11 Lessons\n", "\n", "Course Title: Convolutional Neural Networks (CNN) from Scratch\n", "Course Lessons: 17 Lessons\n", "\n", "Course Title: Building Your First Computer Vision Model - Free Course\n", "Course Lessons: 7 Lessons\n", "\n", "Summary: Deep learning algorithms are revolutionizing data science industry and disrupting several domains. From computer vision applications to natural language processing (NLP) use cases - every field is benefiting from use of Deep Learning models. This course starts by assuming no knowledge about Neural Networks and Deep Learning and introduces these subjects to the student one by one. The course helps you build a deep as well as intuitive understanding of what is Deep Learning, where can Deep Learning Models be applied and then helps you solve several real life problems using Keras and\n" ] } ] }, { "cell_type": "code", "source": [ "query3 = \"machine learning courses\"\n", "response3 = search_and_answer(query3)\n", "print(response3)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "0yFgspcZH4T8", "outputId": "272dd7eb-d6d7-49f4-a5fd-8f0dfa3303cf" }, "execution_count": 26, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Related Courses: 4\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "Device set to use cuda:0\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Related Courses:\n", "Course Title: Winning Data Science Hackathons - Learn from Elite Data Scientists\n", "Course Lessons: 7 Lessons\n", "\n", "Course Title: Machine Learning Summer Training\n", "Course Lessons: 263 Lessons\n", "\n", "Course Title: Support Vector Machine (SVM) in Python and R\n", "Course Lessons: 13 Lessons\n", "\n", "Course Title: Applied Machine Learning - Beginner to Professional\n", "Course Lessons: 612 Lessons\n", "\n", "Summary: This course features top data science hackers and experts, including Sudalai Rajkumar (SRK), Dipanjan Sarkar, Rohan Rao, Kiran R and many more! From effective feature engineering to choosing the right validation strategy, there is a LOT to learn from this course so get started today!\n" ] } ] }, { "cell_type": "code", "source": [ "query4 = \"NLP\"\n", "response4 = search_and_answer(query4)\n", "print(response4)" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "M4wq7W5EJdpe", "outputId": "cdae5f4a-3fa1-4bfc-82ff-3c4a724a2186" }, "execution_count": 27, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Related Courses: 4\n" ] }, { "output_type": "stream", "name": "stderr", "text": [ "Device set to use cuda:0\n" ] }, { "output_type": "stream", "name": "stdout", "text": [ "\n", "Related Courses:\n", "Course Title: Certified Natural Language Processing Master’s Program\n", "Course Lessons: 7 courses\n", "\n", "Course Title: Building a Text Classification Model with Natural Language Processing - Free Course\n", "Course Lessons: 16 Lessons\n", "\n", "Course Title: Introduction to Natural Language Processing\n", "Course Lessons: 21 Lessons\n", "\n", "Course Title: Exploring Natural Language Processing (NLP) using Deep Learning\n", "Course Lessons: 79 Lessons\n", "\n", "Summary: NLP is one of the fastest growing fields within Artificial Intelligence. It enables machines to understand information contained in any text. NLP bridges the gap between the abstract butomnipresent human languages with concise and concrete programming languages.\n" ] } ] } ] }