diff --git "a/QA_Chatbot-flan-t5-base.ipynb" "b/QA_Chatbot-flan-t5-base.ipynb"
--- "a/QA_Chatbot-flan-t5-base.ipynb"
+++ "b/QA_Chatbot-flan-t5-base.ipynb"
@@ -1,7317 +1,106 @@
{
- "nbformat": 4,
- "nbformat_minor": 0,
- "metadata": {
- "colab": {
- "provenance": []
+ "cells": [
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
+ "base_uri": "https://localhost:8080/"
+ },
+ "id": "i_g3-tUqCEQN",
+ "outputId": "6fdc0d31-a2ca-4896-ea47-8ff7cfde008e"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Fri Mar 10 06:08:27 2023 \n",
+ "+-----------------------------------------------------------------------------+\n",
+ "| NVIDIA-SMI 525.85.12 Driver Version: 525.85.12 CUDA Version: 12.0 |\n",
+ "|-------------------------------+----------------------+----------------------+\n",
+ "| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
+ "| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
+ "| | | MIG M. |\n",
+ "|===============================+======================+======================|\n",
+ "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
+ "| N/A 67C P0 29W / 70W | 2275MiB / 15360MiB | 0% Default |\n",
+ "| | | N/A |\n",
+ "+-------------------------------+----------------------+----------------------+\n",
+ " \n",
+ "+-----------------------------------------------------------------------------+\n",
+ "| Processes: |\n",
+ "| GPU GI CI PID Type Process name GPU Memory |\n",
+ "| ID ID Usage |\n",
+ "|=============================================================================|\n",
+ "+-----------------------------------------------------------------------------+\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Runtime > Change runtime type > Hardware accelerator: GPU\n",
+ "# Install Driver\n",
+ "!nvidia-smi"
+ ]
},
- "kernelspec": {
- "name": "python3",
- "display_name": "Python 3"
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "colab": {
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+ },
+ "id": "8EkL3CcxFtjh",
+ "outputId": "bd44b1fb-33e4-45cb-9b77-917a6eca0743"
+ },
+ "outputs": [
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
+ " Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
+ " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m87.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.2/199.2 KB\u001b[0m \u001b[31m22.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m16.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.1/49.1 KB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.5/73.5 KB\u001b[0m \u001b[31m8.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.8/62.8 KB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m65.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+ "\u001b[?25h Building wheel for llama-index (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+ " Building wheel for openai (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
+ ]
+ }
+ ],
+ "source": [
+ "# Install LLM tools\n",
+ "! pip install -q langchain gpt-index llama-index transformers sentence_transformers"
+ ]
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- "_view_module_version": "1.2.0",
- "_view_name": "StyleView",
- "description_width": ""
- }
- }
- }
- }
- },
- "cells": [
- {
- "cell_type": "markdown",
- "source": [
- "Inspiration:\n",
- "* https://colab.research.google.com/drive/1AVh9dOsG9DKzfK7gOFrJuitPIcLPqlbO?usp=sharing#scrollTo=g8ntQ9CzRQ-q\n",
- "* https://github.com/amrrs/LLM-QA-Bot/blob/main/LLM_Q%26A_with_Open_Source_Hugging_Face_Models_with-UI.ipynb\n",
- "\n",
- "Notebook rationale: \n",
- "* Free access to GPUs in Google Colab\n"
- ],
- "metadata": {
- "id": "1zhrsuqKEqAA"
- }
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "i_g3-tUqCEQN",
- "outputId": "6fdc0d31-a2ca-4896-ea47-8ff7cfde008e"
- },
- "outputs": [
- {
- "output_type": "stream",
- "name": "stdout",
- "text": [
- "Fri Mar 10 06:08:27 2023 \n",
- "+-----------------------------------------------------------------------------+\n",
- "| NVIDIA-SMI 525.85.12 Driver Version: 525.85.12 CUDA Version: 12.0 |\n",
- "|-------------------------------+----------------------+----------------------+\n",
- "| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
- "| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
- "| | | MIG M. |\n",
- "|===============================+======================+======================|\n",
- "| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
- "| N/A 67C P0 29W / 70W | 2275MiB / 15360MiB | 0% Default |\n",
- "| | | N/A |\n",
- "+-------------------------------+----------------------+----------------------+\n",
- " \n",
- "+-----------------------------------------------------------------------------+\n",
- "| Processes: |\n",
- "| GPU GI CI PID Type Process name GPU Memory |\n",
- "| ID ID Usage |\n",
- "|=============================================================================|\n",
- "+-----------------------------------------------------------------------------+\n"
- ]
- }
- ],
- "source": [
- "# Runtime > Change runtime type > Hardware accelerator: GPU\n",
- "# Install Driver\n",
- "!nvidia-smi"
- ]
+ {
+ "cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "C8nj-t_YFuSH"
+ },
+ "outputs": [],
+ "source": [
+ "# Install visualization tools\n",
+ "!pip install -q gradio"
+ ]
},
{
"cell_type": "code",
- "source": [
- "# Install LLM tools\n",
- "! pip install -q langchain gpt-index llama-index transformers sentence_transformers"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/"
- },
- "id": "8EkL3CcxFtjh",
- "outputId": "bd44b1fb-33e4-45cb-9b77-917a6eca0743"
- },
"execution_count": null,
- "outputs": [
- {
- "output_type": "stream",
- "name": "stdout",
- "text": [
- " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
- " Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
- " Installing build dependencies ... \u001b[?25l\u001b[?25hdone\n",
- " Getting requirements to build wheel ... \u001b[?25l\u001b[?25hdone\n",
- " Installing backend dependencies ... \u001b[?25l\u001b[?25hdone\n",
- " Preparing metadata (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m7.6/7.6 MB\u001b[0m \u001b[31m87.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m199.2/199.2 KB\u001b[0m \u001b[31m22.6 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m1.3/1.3 MB\u001b[0m \u001b[31m16.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m49.1/49.1 KB\u001b[0m \u001b[31m6.3 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m73.5/73.5 KB\u001b[0m \u001b[31m8.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m62.8/62.8 KB\u001b[0m \u001b[31m6.4 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m2.1/2.1 MB\u001b[0m \u001b[31m65.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
- "\u001b[?25h Building wheel for llama-index (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
- " Building wheel for sentence_transformers (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
- " Building wheel for openai (pyproject.toml) ... \u001b[?25l\u001b[?25hdone\n"
- ]
- }
- ]
- },
- {
- "cell_type": "code",
- "source": [
- "# Install visualization tools\n",
- "!pip install -q gradio"
- ],
"metadata": {
- "id": "C8nj-t_YFuSH"
+ "id": "Xqn1yfpEDy8D"
},
- "execution_count": null,
- "outputs": []
- },
- {
- "cell_type": "code",
+ "outputs": [],
"source": [
"# Import Libraries\n",
"import gradio as gr\n",
@@ -7327,15 +116,15 @@
"\n",
"from langchain.embeddings.huggingface import HuggingFaceEmbeddings\n",
"from llama_index import LangchainEmbedding"
- ],
- "metadata": {
- "id": "Xqn1yfpEDy8D"
- },
- "execution_count": null,
- "outputs": []
+ ]
},
{
"cell_type": "code",
+ "execution_count": null,
+ "metadata": {
+ "id": "sL4ORAReD766"
+ },
+ "outputs": [],
"source": [
"# Feature Functions\n",
"\n",
@@ -7343,48 +132,11 @@
"def text_to_document(input_text):\n",
" text_list = [input_text]\n",
" return [Document(t) for t in text_list] # documents"
- ],
- "metadata": {
- "id": "sL4ORAReD766"
- },
- "execution_count": null,
- "outputs": []
+ ]
},
{
"cell_type": "code",
- "source": [
- "# Model Functions & Class\n",
- "class FlanLLM(LLM):\n",
- " model_name = \"google/flan-t5-base\"\n",
- " pipeline = pipeline(\"text2text-generation\", model=model_name,\n",
- " device=0, model_kwargs={\"torch_dtype\": torch.bfloat16})\n",
- "\n",
- " def _call(self, prompt, stop=None):\n",
- " return self.pipeline(prompt, max_length=9999)[0][\"generated_text\"]\n",
- "\n",
- " def _identifying_params(self):\n",
- " return {\"name_of_model\": self.model_name}\n",
- "\n",
- " def _llm_type(self):\n",
- " return \"custom\"\n",
- "\n",
- "llm_predictor = LLMPredictor(llm=FlanLLM())\n",
- "hfemb = HuggingFaceEmbeddings()\n",
- "embed_model = LangchainEmbedding(hfemb)\n",
- "\n",
- "def document_to_index(documents):\n",
- " global index\n",
- " index = GPTSimpleVectorIndex(\n",
- " documents, embed_model=embed_model, llm_predictor=llm_predictor)\n",
- " return('Index successfully saved.')\n",
- "\n",
- "def query_and_response(chat_history, user_query):\n",
- " bot_response = index.query(user_query)\n",
- " response = \"\"\n",
- " for letter in ''.join(bot_response.response):\n",
- " response += f'{letter}'\n",
- " yield chat_history + [(user_query, response)]"
- ],
+ "execution_count": null,
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
@@ -7623,378 +375,7612 @@
"c6640a63c4984e4cadf7479ccdf54f4b"
]
},
- "id": "FgRIa2ZPD_aj",
- "outputId": "e7962b5b-8833-4cb5-ef84-189375e28352"
- },
- "execution_count": null,
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "Downloading (…)lve/main/config.json: 0%| | 0.00/1.40k [00:00"
+ ],
+ "text/plain": [
+ ""
+ ]
+ },
+ "metadata": {},
+ "output_type": "display_data"
+ },
+ {
+ "name": "stdout",
+ "output_type": "stream",
+ "text": [
+ "Keyboard interruption in main thread... closing server.\n",
+ "Killing tunnel 127.0.0.1:7860 <> https://1010e1d1a156b247ae.gradio.live\n"
+ ]
+ },
+ {
+ "data": {
+ "text/plain": []
+ },
+ "execution_count": 30,
+ "metadata": {},
+ "output_type": "execute_result"
+ }
+ ],
+ "source": [
+ "# App\n",
+ "def text_to_index(input_text):\n",
+ " documents = text_to_document(input_text)\n",
+ " document_to_index(documents)\n",
+ "\n",
+ "with gr.Blocks() as demo:\n",
+ " gr.Markdown('Q&A Chatbot')\n",
+ " with gr.Tab(\"Input Text\"):\n",
+ " text_input = gr.Textbox()\n",
+ " text_output = gr.Textbox()\n",
+ " text_button = gr.Button(\"Learn From Text\")\n",
+ " text_button.click(text_to_index, text_input, text_output)\n",
+ " with gr.Tab(\"Chat\"):\n",
+ " chatbot = gr.Chatbot()\n",
+ " message = gr.Textbox(\"Please summarize this document\")\n",
+ " message.submit(query_and_response, [chatbot, message], chatbot)\n"
+ ]
+ }
+ ],
+ "metadata": {
+ "accelerator": "GPU",
+ "colab": {
+ "provenance": []
+ },
+ "gpuClass": "standard",
+ "kernelspec": {
+ "display_name": "Python 3",
+ "name": "python3"
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