switch

Chatbot_pdf.ipynb

@@ -1,636 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "04815d1b-44ee-4bd3-878e-fa0c3bf9fa7f",
-   "metadata": {
-    "id": "04815d1b-44ee-4bd3-878e-fa0c3bf9fa7f",
-    "tags": []
-   },
-   "source": [
-    "# LangChain QA Panel App\n",
-    "#Dan"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "VY41CG0Nzrv8",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "VY41CG0Nzrv8",
-    "outputId": "15f50e07-c724-4074-c3a3-5087a386e1cb"
-   },
-   "outputs": [],
-   "source": [
-    "#pip install langchain openai chromadb tiktoken pypdf panel langchain_community"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 23,
-   "id": "9a464409-d064-4766-a9cb-5119f6c4b8f5",
-   "metadata": {
-    "id": "9a464409-d064-4766-a9cb-5119f6c4b8f5",
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "import os\n",
-    "from langchain.chains import RetrievalQA\n",
-    "from langchain_openai import OpenAI, OpenAIEmbeddings\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.vectorstores import Chroma\n",
-    "import panel as pn\n",
-    "import tempfile\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 24,
-   "id": "b2d07ea5-9ff2-4c96-a8dc-92895d870b73",
-   "metadata": {
-    "id": "b2d07ea5-9ff2-4c96-a8dc-92895d870b73",
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<script type=\"esms-options\">{\"shimMode\": true}</script><style>*[data-root-id],\n",
-       "*[data-root-id] > * {\n",
-       "  box-sizing: border-box;\n",
-       "  font-family: var(--jp-ui-font-family);\n",
-       "  font-size: var(--jp-ui-font-size1);\n",
-       "  color: var(--vscode-editor-foreground, var(--jp-ui-font-color1));\n",
-       "}\n",
-       "\n",
-       "/* Override VSCode background color */\n",
-       ".cell-output-ipywidget-background:has(\n",
-       "    > .cell-output-ipywidget-background > .lm-Widget > *[data-root-id]\n",
-       "  ),\n",
-       ".cell-output-ipywidget-background:has(> .lm-Widget > *[data-root-id]) {\n",
-       "  background-color: transparent !important;\n",
-       "}\n",
-       "</style>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
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-       "  var docs_json = {\"c12a0b84-d09f-49d6-9a65-a55b87f9b880\":{\"version\":\"3.6.2\",\"title\":\"Bokeh Application\",\"roots\":[{\"type\":\"object\",\"name\":\"panel.models.browser.BrowserInfo\",\"id\":\"bf537540-951b-4913-a81d-dceaed1c2b15\"},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"f4566710-3a4c-43d3-8736-ed2a40fa8226\",\"attributes\":{\"plot_id\":\"bf537540-951b-4913-a81d-dceaed1c2b15\",\"comm_id\":\"2e9389a2a0264bb7955f94b13b9d1a52\",\"client_comm_id\":\"88d85376d3ea41bcb796b5668a35f378\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
-       "  var render_items = [{\"docid\":\"c12a0b84-d09f-49d6-9a65-a55b87f9b880\",\"roots\":{\"bf537540-951b-4913-a81d-dceaed1c2b15\":\"cd494ea2-9730-4b89-9bc3-9d460553970b\"},\"root_ids\":[\"bf537540-951b-4913-a81d-dceaed1c2b15\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  async function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t  for (const child of root_el.children) {\n",
-       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
-       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
-       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
-       "    }\n",
-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    var attempts = 0;\n",
-       "    var timer = setInterval(function(root) {\n",
-       "      if (is_loaded(root)) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else if (document.readyState == \"complete\") {\n",
-       "        attempts++;\n",
-       "        if (attempts > 200) {\n",
-       "          clearInterval(timer);\n",
-       "\t  var Bokeh = get_bokeh(root)\n",
-       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
-       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
-       "\t  } else {\n",
-       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
-       "\t    embed_document(root)\n",
-       "\t  }\n",
-       "        }\n",
-       "      }\n",
-       "    }, 25, root)\n",
-       "  }\n",
-       "})(window);</script>"
-      ]
-     },
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {
-       "id": "bf537540-951b-4913-a81d-dceaed1c2b15"
-      }
-     },
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/plain": [
-       "<param.parameterized._ParametersRestorer at 0x26d5c6dbef0>"
-      ]
-     },
-     "execution_count": 24,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "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": null,
-   "id": "763db4d0-3436-41d3-8b0f-e66ce16468cd",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 248
-    },
-    "id": "763db4d0-3436-41d3-8b0f-e66ce16468cd",
-    "outputId": "d121cb2e-563b-4a4d-c498-68641282a4be",
-    "tags": []
-   },
-   "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",
-    "    value='map_reduce'\n",
-    ")\n",
-    "\n",
-    "# Organizare pe două coloane\n",
-    "left_column = pn.Column(\n",
-    "    prompt, run_button,  sizing_mode=\"stretch_width\"\n",
-    ")\n",
-    "right_column = pn.Column(\n",
-    "    pn.Card(\n",
-    "        \"Chain type:\",\n",
-    "        pn.Column(select_chain_type, select_k),\n",
-    "        title=\"Advanced settings\",\n",
-    "    ),\n",
-    "    margin=10,  sizing_mode=\"stretch_width\"\n",
-    ")\n",
-    "\n",
-    "widgets = pn.Row(\n",
-    "    left_column,\n",
-    "    right_column,\n",
-    "    sizing_mode=\"stretch_width\",  # Se aplică rândului principal\n",
-    "    max_width=800\n",
-    "    \n",
-    ")\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 26,
-   "id": "S_kpVLPKr794",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 248
-    },
-    "id": "S_kpVLPKr794",
-    "outputId": "f07f750a-ea7a-4151-a29f-5bdd6b9411a4"
-   },
-   "outputs": [],
-   "source": [
-    "# widgets"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 27,
-   "id": "b4029c79-808a-47d7-8011-4b498c39c556",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# file_input"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 28,
-   "id": "db7b7e1c-8704-4a86-897e-b4a690008d27",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "#file_input.value"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 29,
-   "id": "9b83cc06-3401-498f-8f84-8a98370f3121",
-   "metadata": {
-    "id": "9b83cc06-3401-498f-8f84-8a98370f3121",
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "\n",
-    "\n",
-    "# Functia pentru a procesa fișierul și a răspunde la întrebări\n",
-    "def qa(file, query, chain_type, k):\n",
-    "    # Încarcă documentul\n",
-    "    loader = PyPDFLoader(file)  # Folosește calea fișierului local\n",
-    "    documents = loader.load()\n",
-    "\n",
-    "    # Împarte documentele în fragmente\n",
-    "    text_splitter = CharacterTextSplitter(chunk_size=1000, chunk_overlap=0)\n",
-    "    texts = text_splitter.split_documents(documents)\n",
-    "\n",
-    "    # Selectează care embedding-uri vor fi folosite\n",
-    "    embeddings = OpenAIEmbeddings(model=\"text-embedding-ada-002\")\n",
-    "\n",
-    "    # Creează vectorul de stocare a datelor (indexul)\n",
-    "    db = Chroma.from_documents(texts, embeddings)\n",
-    "\n",
-    "    # Expune acest index într-o interfață de căutare\n",
-    "    retriever = db.as_retriever(search_type=\"similarity\", search_kwargs={\"k\": k})\n",
-    "\n",
-    "    # Creează o „chain” pentru a răspunde la întrebări\n",
-    "    qa_chain = RetrievalQA.from_chain_type(\n",
-    "        llm=OpenAI(), chain_type=chain_type, retriever=retriever, return_source_documents=True\n",
-    "    )\n",
-    "\n",
-    "    # Răspunde la întrebarea dată\n",
-    "    result = qa_chain.invoke({\"query\": query})\n",
-    "\n",
-    "    # Filtrarea documentelor sursă pentru a elimina duplicatele\n",
-    "    unique_documents = []\n",
-    "    seen_content = set()\n",
-    "    for doc in result[\"source_documents\"]:\n",
-    "        if doc.page_content not in seen_content:\n",
-    "            unique_documents.append(doc)\n",
-    "            seen_content.add(doc.page_content)\n",
-    "\n",
-    "    # Actualizează sursele cu documentele unice\n",
-    "    result[\"source_documents\"] = unique_documents\n",
-    "    \n",
-    "    # Afișează rezultatul\n",
-    "    print(result[\"result\"])\n",
-    "    return result\n",
-    "\n",
-    "\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 30,
-   "id": "9d7ef1f2-959e-4e29-b377-655f85db7203",
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# import os\n",
-    "\n",
-    "# # Setează cheia API pentru OpenAI\n",
-    "# os.environ[\"OPENAI_API_KEY\"] = \"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\"\n",
-    "# # Calea către fișierul PDF local\n",
-    "# file = r\"C:\\Users\\Harry\\Documents\\AI\\AI_projects\\example.pdf\"  # Modifică cu calea reală a fișierului tău\n",
-    "\n",
-    "# # Exemplu de apelare a funcției\n",
-    "# qa(file, query=\"What is the total number of AI publications?\", chain_type=\"map_reduce\", k=2)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 31,
-   "id": "60e1b3d3-c0d2-4260-ae0c-26b03f1b8824",
-   "metadata": {
-    "id": "60e1b3d3-c0d2-4260-ae0c-26b03f1b8824"
-   },
-   "outputs": [],
-   "source": [
-    "convos = []  # store all panel objects in a list\n",
-    "\n",
-    "def qa_result(_):\n",
-    " try:\n",
-    "    # Afișează cheia API OpenAI și mesajul de inițializare\n",
-    "   # os.environ[\"OPENAI_API_KEY\"] = \"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\"\n",
-    "    os.environ[\"OPENAI_API_KEY\"] = openaikey.value\n",
-    "    # save pdf file to a temp file\n",
-    "    if file_input.value is not None:\n",
-    "        file_input.save(\"temp.pdf\")\n",
-    "\n",
-    "        prompt_text = prompt.value\n",
-    "        if prompt_text:\n",
-    "            result = qa(file=\"temp.pdf\", query=prompt_text, chain_type=select_chain_type.value, k=select_k.value)\n",
-    "            # Curăță convo-urile anterioare înainte de a adăuga noi rezultate\n",
-    "            convos.clear()  # Curăță lista de conversații\n",
-    "            convos.append(\n",
-    "                    pn.Row(pn.panel(\"\\U0001F60A\", width=10), prompt_text, width=600)\n",
-    "                )\n",
-    "                # Construiește un singur bloc Markdown pentru textele relevante\n",
-    "            relevant_text = '\\n'.join([\n",
-    "                    f\"### Document {i + 1}:\\n\" + doc.page_content \n",
-    "                    for i, doc in enumerate(result[\"source_documents\"])\n",
-    "                ])\n",
-    "                \n",
-    "                # Adăugăm blocul de text relevant\n",
-    "            convos.append(\n",
-    "                    pn.Row(pn.panel(\"\\U0001F916\", width=10), pn.Column(\n",
-    "                        result[\"result\"], \"Relevant source text:\", pn.pane.Markdown(relevant_text)\n",
-    "                    ))\n",
-    "                )\n",
-    "          \n",
-    "    return pn.Column(*convos, margin=15, width=575, min_height=400)\n",
-    " except Exception as e:\n",
-    "        # În caz de eroare, afișează mesajul de eroare\n",
-    "        print(f\"Error: {str(e)}\")\n",
-    "        return pn.Column(pn.panel(f\"An error occurred: {str(e)}\"))\n"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 32,
-   "id": "c3a70857-0b98-4f62-a9c0-b62ca42b474c",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/"
-    },
-    "id": "c3a70857-0b98-4f62-a9c0-b62ca42b474c",
-    "outputId": "13bf88d7-17c6-440b-eb26-d59020e4b10b",
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "qa_interactive = pn.panel(\n",
-    "    pn.bind(qa_result, run_button),\n",
-    "    loading_indicator=True,\n",
-    ")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 33,
-   "id": "228e2b42-b1ed-43af-b923-031a70241ab0",
-   "metadata": {
-    "id": "228e2b42-b1ed-43af-b923-031a70241ab0",
-    "tags": []
-   },
-   "outputs": [],
-   "source": [
-    "output = pn.WidgetBox('*Output will show up here:*', qa_interactive, margin=10, width=800,  height=300, align='start', scroll=True)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 34,
-   "id": "1b0ec253-2bcd-4f91-96d8-d8456e900a58",
-   "metadata": {
-    "colab": {
-     "base_uri": "https://localhost:8080/",
-     "height": 1000
-    },
-    "id": "1b0ec253-2bcd-4f91-96d8-d8456e900a58",
-    "outputId": "4a802a73-77b5-4eb8-86da-9c0490ea7136",
-    "tags": []
-   },
-   "outputs": [
-    {
-     "data": {},
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.holoviews_exec.v0+json": "",
-      "text/html": [
-       "<div id='2020c7e1-2eb6-4d04-9556-9f1dcc3922e8'>\n",
-       "  <div id=\"e17b016e-176d-40f9-a704-88f1d749f956\" data-root-id=\"2020c7e1-2eb6-4d04-9556-9f1dcc3922e8\" style=\"display: contents;\"></div>\n",
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400px));\\n}\",{\"id\":\"bbf7f501-00c4-43f6-87a0-debddfc0712a\"},{\"id\":\"d75912f0-9132-43e5-adb9-51efbd7932b4\"},{\"id\":\"f75971ef-42e4-4eee-ab00-de882056c0a7\"},{\"id\":\"866e9859-0f60-4001-b36c-494773ca9355\"},{\"id\":\"e0a8107e-ab13-4f9b-ad66-231a6455972f\"}],\"margin\":[5,10],\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"title\":\"Number of relevant chunks\",\"start\":1,\"end\":5,\"value\":2}}]}}],\"active_header_background\":\"\",\"button_css_classes\":[\"card-button\"],\"collapsed\":false,\"header_background\":\"\",\"header_color\":\"\",\"header_css_classes\":[\"card-header\"]}}]}}]}},{\"type\":\"object\",\"name\":\"panel.models.layout.Column\",\"id\":\"1b5df0c8-56dd-4772-afae-22e03a07d15a\",\"attributes\":{\"name\":\"WidgetBox00224\",\"css_classes\":[\"panel-widget-box\",\"scrollable-vertical\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"bbf7f501-00c4-43f6-87a0-debddfc0712a\"},{\"type\":\"object\",\"name\":\"ImportedStyleSheet\",\"id\":\"c7c75a96-acdf-45ea-bb50-88aa7c07abd3\",\"attributes\":{\"url\":\"https://cdn.holoviz.org/panel/1.5.4/dist/css/widgetbox.css\"}},{\"id\":\"49842c38-3000-4cf3-a9bf-3e3ab2bb4c07\"},{\"id\":\"d75912f0-9132-43e5-adb9-51efbd7932b4\"},{\"id\":\"f75971ef-42e4-4eee-ab00-de882056c0a7\"},{\"id\":\"866e9859-0f60-4001-b36c-494773ca9355\"},{\"id\":\"e0a8107e-ab13-4f9b-ad66-231a6455972f\"}],\"width\":800,\"height\":300,\"margin\":10,\"sizing_mode\":\"fixed\",\"align\":\"start\",\"children\":[{\"type\":\"object\",\"name\":\"panel.models.markup.HTML\",\"id\":\"a5f10ab3-ff22-4604-9b8c-d165279cea76\",\"attributes\":{\"css_classes\":[\"markdown\"],\"stylesheets\":[\"\\n:host(.pn-loading):before, .pn-loading:before {\\n  background-color: #c3c3c3;\\n  mask-size: auto calc(min(50%, 400px));\\n  -webkit-mask-size: auto calc(min(50%, 400px));\\n}\",{\"id\":\"bbf7f501-00c4-43f6-87a0-debddfc0712a\"},{\"id\":\"e5c44e93-a883-478b-aa46-28355dcc4db9\"},{\"id\":\"d75912f0-9132-43e5-adb9-51efbd7932b4\"},{\"id\":\"f75971ef-42e4-4eee-ab00-de882056c0a7\"},{\"id\":\"866e9859-0f60-4001-b36c-494773ca9355\"},{\"id\":\"e0a8107e-ab13-4f9b-ad66-231a6455972f\"}],\"margin\":[5,10],\"sizing_mode\":\"stretch_width\",\"align\":\"start\",\"text\":\"&lt;p&gt;&lt;em&gt;Output will show up here:&lt;/em&gt;&lt;/p&gt;\\n\"}},{\"id\":\"7538bffb-58df-48df-b71d-3d5bc56b717a\"}]}}]}},{\"type\":\"object\",\"name\":\"panel.models.comm_manager.CommManager\",\"id\":\"e453d807-6660-435c-8c55-488cefe063ad\",\"attributes\":{\"plot_id\":\"2020c7e1-2eb6-4d04-9556-9f1dcc3922e8\",\"comm_id\":\"8e3f48adfd9a41f98e0c2f9af1aadb38\",\"client_comm_id\":\"d4e32a60717f44cabe12aca184c300f9\"}}],\"defs\":[{\"type\":\"model\",\"name\":\"ReactiveHTML1\"},{\"type\":\"model\",\"name\":\"FlexBox1\",\"properties\":[{\"name\":\"align_content\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"align_items\",\"kind\":\"Any\",\"default\":\"flex-start\"},{\"name\":\"flex_direction\",\"kind\":\"Any\",\"default\":\"row\"},{\"name\":\"flex_wrap\",\"kind\":\"Any\",\"default\":\"wrap\"},{\"name\":\"gap\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"justify_content\",\"kind\":\"Any\",\"default\":\"flex-start\"}]},{\"type\":\"model\",\"name\":\"FloatPanel1\",\"properties\":[{\"name\":\"config\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"contained\",\"kind\":\"Any\",\"default\":true},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"right-top\"},{\"name\":\"offsetx\",\"kind\":\"Any\",\"default\":null},{\"name\":\"offsety\",\"kind\":\"Any\",\"default\":null},{\"name\":\"theme\",\"kind\":\"Any\",\"default\":\"primary\"},{\"name\":\"status\",\"kind\":\"Any\",\"default\":\"normalized\"}]},{\"type\":\"model\",\"name\":\"GridStack1\",\"properties\":[{\"name\":\"mode\",\"kind\":\"Any\",\"default\":\"warn\"},{\"name\":\"ncols\",\"kind\":\"Any\",\"default\":null},{\"name\":\"nrows\",\"kind\":\"Any\",\"default\":null},{\"name\":\"allow_resize\",\"kind\":\"Any\",\"default\":true},{\"name\":\"allow_drag\",\"kind\":\"Any\",\"default\":true},{\"name\":\"state\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"drag1\",\"properties\":[{\"name\":\"slider_width\",\"kind\":\"Any\",\"default\":5},{\"name\":\"slider_color\",\"kind\":\"Any\",\"default\":\"black\"},{\"name\":\"value\",\"kind\":\"Any\",\"default\":50}]},{\"type\":\"model\",\"name\":\"click1\",\"properties\":[{\"name\":\"terminal_output\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"debug_name\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"clears\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"FastWrapper1\",\"properties\":[{\"name\":\"object\",\"kind\":\"Any\",\"default\":null},{\"name\":\"style\",\"kind\":\"Any\",\"default\":null}]},{\"type\":\"model\",\"name\":\"NotificationAreaBase1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"NotificationArea1\",\"properties\":[{\"name\":\"js_events\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}},{\"name\":\"notifications\",\"kind\":\"Any\",\"default\":[]},{\"name\":\"position\",\"kind\":\"Any\",\"default\":\"bottom-right\"},{\"name\":\"_clear\",\"kind\":\"Any\",\"default\":0},{\"name\":\"types\",\"kind\":\"Any\",\"default\":[{\"type\":\"map\",\"entries\":[[\"type\",\"warning\"],[\"background\",\"#ffc107\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-exclamation-triangle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]},{\"type\":\"map\",\"entries\":[[\"type\",\"info\"],[\"background\",\"#007bff\"],[\"icon\",{\"type\":\"map\",\"entries\":[[\"className\",\"fas fa-info-circle\"],[\"tagName\",\"i\"],[\"color\",\"white\"]]}]]}]}]},{\"type\":\"model\",\"name\":\"Notification\",\"properties\":[{\"name\":\"background\",\"kind\":\"Any\",\"default\":null},{\"name\":\"duration\",\"kind\":\"Any\",\"default\":3000},{\"name\":\"icon\",\"kind\":\"Any\",\"default\":null},{\"name\":\"message\",\"kind\":\"Any\",\"default\":\"\"},{\"name\":\"notification_type\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_destroyed\",\"kind\":\"Any\",\"default\":false}]},{\"type\":\"model\",\"name\":\"TemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"BootstrapTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"TemplateEditor1\",\"properties\":[{\"name\":\"layout\",\"kind\":\"Any\",\"default\":[]}]},{\"type\":\"model\",\"name\":\"MaterialTemplateActions1\",\"properties\":[{\"name\":\"open_modal\",\"kind\":\"Any\",\"default\":0},{\"name\":\"close_modal\",\"kind\":\"Any\",\"default\":0}]},{\"type\":\"model\",\"name\":\"ReactiveESM1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"JSComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"ReactComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"AnyWidgetComponent1\",\"properties\":[{\"name\":\"esm_constants\",\"kind\":\"Any\",\"default\":{\"type\":\"map\"}}]},{\"type\":\"model\",\"name\":\"request_value1\",\"properties\":[{\"name\":\"fill\",\"kind\":\"Any\",\"default\":\"none\"},{\"name\":\"_synced\",\"kind\":\"Any\",\"default\":null},{\"name\":\"_request_sync\",\"kind\":\"Any\",\"default\":0}]}]}};\n",
-       "  var render_items = [{\"docid\":\"40866006-4e00-49f6-a4f0-7a9dbd367ff7\",\"roots\":{\"2020c7e1-2eb6-4d04-9556-9f1dcc3922e8\":\"e17b016e-176d-40f9-a704-88f1d749f956\"},\"root_ids\":[\"2020c7e1-2eb6-4d04-9556-9f1dcc3922e8\"]}];\n",
-       "  var docs = Object.values(docs_json)\n",
-       "  if (!docs) {\n",
-       "    return\n",
-       "  }\n",
-       "  const py_version = docs[0].version.replace('rc', '-rc.').replace('.dev', '-dev.')\n",
-       "  async function embed_document(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    await Bokeh.embed.embed_items_notebook(docs_json, render_items);\n",
-       "    for (const render_item of render_items) {\n",
-       "      for (const root_id of render_item.root_ids) {\n",
-       "\tconst id_el = document.getElementById(root_id)\n",
-       "\tif (id_el.children.length && id_el.children[0].hasAttribute('data-root-id')) {\n",
-       "\t  const root_el = id_el.children[0]\n",
-       "\t  root_el.id = root_el.id + '-rendered'\n",
-       "\t  for (const child of root_el.children) {\n",
-       "            // Ensure JupyterLab does not capture keyboard shortcuts\n",
-       "            // see: https://jupyterlab.readthedocs.io/en/4.1.x/extension/notebook.html#keyboard-interaction-model\n",
-       "\t    child.setAttribute('data-lm-suppress-shortcuts', 'true')\n",
-       "\t  }\n",
-       "\t}\n",
-       "      }\n",
-       "    }\n",
-       "  }\n",
-       "  function get_bokeh(root) {\n",
-       "    if (root.Bokeh === undefined) {\n",
-       "      return null\n",
-       "    } else if (root.Bokeh.version !== py_version) {\n",
-       "      if (root.Bokeh.versions === undefined || !root.Bokeh.versions.has(py_version)) {\n",
-       "\treturn null\n",
-       "      }\n",
-       "      return root.Bokeh.versions.get(py_version);\n",
-       "    } else if (root.Bokeh.version === py_version) {\n",
-       "      return root.Bokeh\n",
-       "    }\n",
-       "    return null\n",
-       "  }\n",
-       "  function is_loaded(root) {\n",
-       "    var Bokeh = get_bokeh(root)\n",
-       "    return (Bokeh != null && Bokeh.Panel !== undefined)\n",
-       "  }\n",
-       "  if (is_loaded(root)) {\n",
-       "    embed_document(root);\n",
-       "  } else {\n",
-       "    var attempts = 0;\n",
-       "    var timer = setInterval(function(root) {\n",
-       "      if (is_loaded(root)) {\n",
-       "        clearInterval(timer);\n",
-       "        embed_document(root);\n",
-       "      } else if (document.readyState == \"complete\") {\n",
-       "        attempts++;\n",
-       "        if (attempts > 200) {\n",
-       "          clearInterval(timer);\n",
-       "\t  var Bokeh = get_bokeh(root)\n",
-       "\t  if (Bokeh == null || Bokeh.Panel == null) {\n",
-       "            console.warn(\"Panel: ERROR: Unable to run Panel code because Bokeh or Panel library is missing\");\n",
-       "\t  } else {\n",
-       "\t    console.warn(\"Panel: WARNING: Attempting to render but not all required libraries could be resolved.\")\n",
-       "\t    embed_document(root)\n",
-       "\t  }\n",
-       "        }\n",
-       "      }\n",
-       "    }, 25, root)\n",
-       "  }\n",
-       "})(window);</script>"
-      ],
-      "text/plain": [
-       "Column(design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "    [0] Markdown(str, design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "    [1] Row(design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "        [0] FileInput(design=<class 'panel.theme.bootst..., width=300)\n",
-       "        [1] PasswordInput(design=<class 'panel.theme.bootst..., placeholder='Enter your OpenAI A...)\n",
-       "    [2] Row(design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "        [0] Column(design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "            [0] TextEditor(design=<class 'panel.theme.bootst..., height=160, placeholder='Enter your questions h..., sizing_mode='stretch_width', toolbar=False)\n",
-       "            [1] Button(design=<class 'panel.theme.bootst..., name='Run!', sizing_mode='stretch_width')\n",
-       "        [1] Column(design=<class 'panel.theme.bootst..., margin=10, sizing_mode='stretch_width')\n",
-       "            [0] Card(design=<class 'panel.theme.bootst..., sizing_mode='stretch_width', title='Advanced settings')\n",
-       "                [0] Markdown(str, design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "                [1] Column(design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "                    [0] RadioButtonGroup(design=<class 'panel.theme.bootst..., name='Chain type', options=['stuff', 'map_reduce', ...], sizing_mode='stretch_width', value='map_reduce')\n",
-       "                    [1] IntSlider(design=<class 'panel.theme.bootst..., end=5, name='Number of relevant c..., sizing_mode='stretch_width', start=1, value=2)\n",
-       "    [3] WidgetBox(design=<class 'panel.theme.bootst..., height=300, margin=10, scroll=True, sizing_mode='fixed', width=800)\n",
-       "        [0] Markdown(str, design=<class 'panel.theme.bootst..., sizing_mode='stretch_width')\n",
-       "        [1] ParamFunction(function, _pane=Column, defer_load=False, design=<class 'panel.theme.bootst..., loading_indicator=True, sizing_mode='stretch_width')"
-      ]
-     },
-     "execution_count": 34,
-     "metadata": {
-      "application/vnd.holoviews_exec.v0+json": {
-       "id": "2020c7e1-2eb6-4d04-9556-9f1dcc3922e8"
-      }
-     },
-     "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",
-    "    widgets,\n",
-    "    output,\n",
-    "\n",
-    ").servable()"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "90840684-f179-419d-a411-8e0b3406596f",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "id": "46ba9292-a7c7-4021-a70f-3dfae1fc909e",
-   "metadata": {},
-   "outputs": [],
-   "source": []
-  }
- ],
- "metadata": {
-  "colab": {
-   "provenance": []
-  },
-  "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
-   "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": "3.12.8"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}

app.py

@@ -0,0 +1,4 @@
+import streamlit as st
+
+x = st.slider('Select a value')
+st.write(x, 'squared is', x * x)