{ "cells": [ { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [], "source": [ "import os \n", "from langchain.chains import RetrievalQA\n", "from langchain.llms import OpenAI\n", "from langchain.document_loaders import TextLoader\n", "from langchain.document_loaders import PyPDFLoader\n", "from langchain.indexes import VectorstoreIndexCreator\n", "from langchain.text_splitter import CharacterTextSplitter\n", "from langchain.embeddings import OpenAIEmbeddings\n", "from langchain.vectorstores import Chroma\n", "import panel as pn\n", "import tempfile" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "data": { "application/javascript": "(function(root) {\n function now() {\n return new Date();\n }\n\n var force = true;\n\n if (typeof root._bokeh_onload_callbacks === \"undefined\" || force === true) {\n root._bokeh_onload_callbacks = [];\n root._bokeh_is_loading = undefined;\n }\n\n if (typeof (root._bokeh_timeout) === \"undefined\" || 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{\n inline_js[i].call(root, root.Bokeh);\n }} else if (Date.now() < root._bokeh_timeout) {\n setTimeout(run_inline_js, 100);\n } else if (!root._bokeh_failed_load) {\n console.log(\"Bokeh: BokehJS failed to load within specified timeout.\");\n root._bokeh_failed_load = true;\n }\n }\n\n if (root._bokeh_is_loading === 0) {\n console.debug(\"Bokeh: BokehJS loaded, going straight to plotting\");\n run_inline_js();\n } else {\n load_libs(css_urls, js_urls, js_modules, function() {\n console.debug(\"Bokeh: BokehJS plotting callback run at\", now());\n run_inline_js();\n });\n }\n}(window));", "application/vnd.holoviews_load.v0+json": "" }, "metadata": {}, "output_type": "display_data" }, { "data": { "application/javascript": "\nif ((window.PyViz === undefined) || (window.PyViz instanceof HTMLElement)) {\n window.PyViz = {comms: {}, comm_status:{}, kernels:{}, receivers: {}, plot_index: []}\n}\n\n\n function JupyterCommManager() {\n }\n\n JupyterCommManager.prototype.register_target = 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scripts.push(nodelist[i])\n }\n }\n\n scripts.forEach( function (oldScript) {\n var newScript = document.createElement(\"script\");\n var attrs = [];\n var nodemap = oldScript.attributes;\n for (var j in nodemap) {\n if (nodemap.hasOwnProperty(j)) {\n attrs.push(nodemap[j])\n }\n }\n attrs.forEach(function(attr) { newScript.setAttribute(attr.name, attr.value) });\n newScript.appendChild(document.createTextNode(oldScript.innerHTML));\n oldScript.parentNode.replaceChild(newScript, oldScript);\n });\n if (JS_MIME_TYPE in output.data) {\n toinsert[nchildren-1].children[1].textContent = output.data[JS_MIME_TYPE];\n }\n output_area._hv_plot_id = id;\n if ((window.Bokeh !== undefined) && (id in Bokeh.index)) {\n window.PyViz.plot_index[id] = Bokeh.index[id];\n } else {\n window.PyViz.plot_index[id] = null;\n }\n } else if (output.metadata[EXEC_MIME_TYPE][\"server_id\"] !== undefined) {\n var bk_div = document.createElement(\"div\");\n bk_div.innerHTML = output.data[HTML_MIME_TYPE];\n var script_attrs = bk_div.children[0].attributes;\n for (var i = 0; i < script_attrs.length; i++) {\n toinsert[toinsert.length - 1].childNodes[1].setAttribute(script_attrs[i].name, script_attrs[i].value);\n }\n // store reference to server id on output_area\n output_area._bokeh_server_id = output.metadata[EXEC_MIME_TYPE][\"server_id\"];\n }\n}\n\n/**\n * Handle when an output is cleared or removed\n */\nfunction handle_clear_output(event, handle) {\n var id = handle.cell.output_area._hv_plot_id;\n var server_id = handle.cell.output_area._bokeh_server_id;\n if (((id === undefined) || !(id in PyViz.plot_index)) && (server_id !== undefined)) { return; }\n var comm = window.PyViz.comm_manager.get_client_comm(\"hv-extension-comm\", \"hv-extension-comm\", function () {});\n if (server_id !== null) {\n comm.send({event_type: 'server_delete', 'id': server_id});\n return;\n } else if (comm !== null) {\n comm.send({event_type: 'delete', 'id': id});\n }\n delete PyViz.plot_index[id];\n if ((window.Bokeh !== undefined) & (id in window.Bokeh.index)) {\n var doc = window.Bokeh.index[id].model.document\n doc.clear();\n const i = window.Bokeh.documents.indexOf(doc);\n if (i > -1) {\n window.Bokeh.documents.splice(i, 1);\n }\n }\n}\n\n/**\n * Handle kernel restart event\n */\nfunction handle_kernel_cleanup(event, handle) {\n delete PyViz.comms[\"hv-extension-comm\"];\n window.PyViz.plot_index = {}\n}\n\n/**\n * Handle update_display_data messages\n */\nfunction handle_update_output(event, handle) {\n handle_clear_output(event, {cell: {output_area: handle.output_area}})\n handle_add_output(event, handle)\n}\n\nfunction register_renderer(events, OutputArea) {\n function append_mime(data, metadata, element) {\n // create a DOM node to render to\n var toinsert = this.create_output_subarea(\n metadata,\n CLASS_NAME,\n EXEC_MIME_TYPE\n );\n this.keyboard_manager.register_events(toinsert);\n // Render to node\n var props = {data: data, metadata: metadata[EXEC_MIME_TYPE]};\n render(props, toinsert[0]);\n element.append(toinsert);\n return toinsert\n }\n\n events.on('output_added.OutputArea', handle_add_output);\n events.on('output_updated.OutputArea', handle_update_output);\n events.on('clear_output.CodeCell', handle_clear_output);\n events.on('delete.Cell', handle_clear_output);\n events.on('kernel_ready.Kernel', handle_kernel_cleanup);\n\n OutputArea.prototype.register_mime_type(EXEC_MIME_TYPE, append_mime, {\n safe: true,\n index: 0\n });\n}\n\nif (window.Jupyter !== undefined) {\n try {\n var events = require('base/js/events');\n var OutputArea = require('notebook/js/outputarea').OutputArea;\n if (OutputArea.prototype.mime_types().indexOf(EXEC_MIME_TYPE) == -1) {\n register_renderer(events, OutputArea);\n }\n } catch(err) {\n }\n}\n", "application/vnd.holoviews_load.v0+json": "" }, "metadata": {}, "output_type": "display_data" }, { "data": { "text/html": [ "" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "pn.extension('texteditor', template=\"bootstrap\", sizing_mode='stretch_width')\n", "pn.state.template.param.update(\n", " main_max_width=\"690px\",\n", " header_background=\"#F08080\",\n", ")" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [], "source": [ "file_input = pn.widgets.FileInput(width=300)\n", "\n", "openaikey = pn.widgets.PasswordInput(\n", " value=\"\", placeholder=\"Enter your OpenAI API Key here...\", width=300\n", ")\n", "prompt = pn.widgets.TextEditor(\n", " value=\"\", placeholder=\"Enter your questions here...\", height=160, toolbar=False\n", ")\n", "run_button = pn.widgets.Button(name=\"Run!\")\n", "\n", "select_k = pn.widgets.IntSlider(\n", " name=\"Number of relevant chunks\", start=1, end=5, step=1, value=2\n", ")\n", "select_chain_type = pn.widgets.RadioButtonGroup(\n", " name='Chain type', \n", " options=['stuff', 'map_reduce', \"refine\", \"map_rerank\"]\n", ")\n", "\n", "widgets = pn.Row(\n", " pn.Column(prompt, run_button, margin=5),\n", " pn.Card(\n", " \"Chain type:\",\n", " pn.Column(select_chain_type, select_k),\n", " title=\"Advanced settings\", margin=10\n", " ), width=600\n", ")" ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [], "source": [ "def qa(file, query, chain_type, k):\n", " # load document\n", " loader = PyPDFLoader(file)\n", " documents = loader.load()\n", " # split the documents into chunks\n", " text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n", " texts = text_splitter.split_documents(documents)\n", " # select which embeddings we want to use\n", " embeddings = OpenAIEmbeddings()\n", " # create the vectorestore to use as the index\n", " db = Chroma.from_documents(texts, embeddings)\n", " # expose this index in a retriever interface\n", " retriever = db.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": k})\n", " # create a chain to answer questions \n", " qa = RetrievalQA.from_chain_type(\n", " llm=OpenAI(), chain_type=chain_type, retriever=retriever, return_source_documents=True)\n", " result = qa({\"query\": query})\n", " print(result['result'])\n", " return result" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [], "source": [ "convos = [] # store all panel objects in a list\n", "\n", "def qa_result(_):\n", " os.environ[\"OPENAI_API_KEY\"] = openaikey.value\n", " \n", " # save pdf file to a temp file \n", " if file_input.value is not None:\n", " file_input.save(\"/.cache/temp.pdf\")\n", " \n", " prompt_text = prompt.value\n", " if prompt_text:\n", " result = qa(file=\"/.cache/temp.pdf\", query=prompt_text, chain_type=select_chain_type.value, k=select_k.value)\n", " convos.extend([\n", " pn.Row(\n", " pn.panel(\"\\U0001F60A\", width=10),\n", " prompt_text,\n", " width=600\n", " ),\n", " pn.Row(\n", " pn.panel(\"\\U0001F916\", width=10),\n", " pn.Column(\n", " result[\"result\"],\n", " \"Relevant source text:\",\n", " pn.pane.Markdown('\\n--------------------------------------------------------------------\\n'.join(doc.page_content for doc in result[\"source_documents\"]))\n", " )\n", " )\n", " ])\n", " #return convos\n", " return pn.Column(*convos, margin=15, width=575, min_height=400)" ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [], "source": [ "qa_interactive = pn.panel(\n", " pn.bind(qa_result, run_button),\n", " loading_indicator=True,\n", ")" ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [], "source": [ "output = pn.WidgetBox('*Output will show up here:*', qa_interactive, width=630, scroll=True)" ] }, { "cell_type": "code", "execution_count": 9, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d572f1a081e741cbaca0638d4d0a860e", "version_major": 2, "version_minor": 0 }, "text/plain": [ "BokehModel(combine_events=True, render_bundle={'docs_json': {'c482f79e-56ca-4f46-b90f-25b4af3de8df': {'defs': …" ] }, "execution_count": 9, "metadata": {}, "output_type": "execute_result" } ], "source": [ "# layout\n", "pn.Column(\n", " pn.pane.Markdown(\"\"\"\n", " ## \\U0001F60A! Question Answering with your PDF file\n", " \n", " 1) Upload a PDF. 2) Enter OpenAI API key. This costs $. Set up billing at [OpenAI](https://platform.openai.com/account). 3) Type a question and click \"Run\".\n", " \n", " \"\"\"),\n", " pn.Row(file_input,openaikey),\n", " output,\n", " widgets\n", "\n", ").servable()" ] } ], "metadata": { "kernelspec": { "display_name": "env1", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.9.13" }, "orig_nbformat": 4 }, "nbformat": 4, "nbformat_minor": 2 }