edited notebook

notebook.ipynb

@@ -69,7 +69,7 @@
       "outputs": [],
       "source": [
         "# @title #### Student Identity\n",
-        "student_id = \"REAM84P0\" # @param {type:\"string\"}\n",
+        "student_id = \"\" # @param {type:\"string\"}\n",
         "name = \"Gavin Bagus Kenzie Narain\" # @param {type:\"string\"}\n",
         "drive_link = \"https://drive.google.com/drive/folders/1smdyFGocnCQq7Iex6ozGwW-BGq5K9Ffw?usp=sharing\"  # @param {type:\"string\"}\n",
         "assignment_id = \"00_text_portfolio_project\""
@@ -90,16 +90,16 @@
       "execution_count": 5,
       "id": "36c07e23-0280-467f-b0d2-44d966253bb4",
       "metadata": {
-        "id": "36c07e23-0280-467f-b0d2-44d966253bb4",
         "colab": {
           "base_uri": "https://localhost:8080/"
         },
+        "id": "36c07e23-0280-467f-b0d2-44d966253bb4",
         "outputId": "117ef0a6-fc2f-40be-c661-3807fc5192ca"
       },
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Collecting rggrader\n",
             "  Downloading rggrader-0.1.6-py3-none-any.whl (2.5 kB)\n",
@@ -152,11 +152,8 @@
     },
     {
       "cell_type": "code",
-      "source": [
-        "from langchain.llms import CTransformers\n",
-        "config = {'max_new_tokens': 100, 'temperature': 0}\n",
-        "llm = CTransformers(model='TheBloke/Mistral-7B-Instruct-v0.1-GGUF', model_file=\"mistral-7b-instruct-v0.1.Q4_K_M.gguf\", config=config)"
-      ],
+      "execution_count": 1,
+      "id": "vKiTNfz7z8Yv",
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -189,41 +186,50 @@
         "id": "vKiTNfz7z8Yv",
         "outputId": "8b1c80a7-2aeb-4ce1-aab2-f235c001c78c"
       },
-      "id": "vKiTNfz7z8Yv",
-      "execution_count": 1,
       "outputs": [
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Fetching 1 files:   0%|          | 0/1 [00:00<?, ?it/s]"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "54c0e2e43d27482f9dcb67ce9d60c85c",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "54c0e2e43d27482f9dcb67ce9d60c85c"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Fetching 1 files:   0%|          | 0/1 [00:00<?, ?it/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "Fetching 1 files:   0%|          | 0/1 [00:00<?, ?it/s]"
-            ],
             "application/vnd.jupyter.widget-view+json": {
+              "model_id": "0b7b4570dc944e818348db1ce6954e3a",
               "version_major": 2,
-              "version_minor": 0,
-              "model_id": "0b7b4570dc944e818348db1ce6954e3a"
-            }
+              "version_minor": 0
+            },
+            "text/plain": [
+              "Fetching 1 files:   0%|          | 0/1 [00:00<?, ?it/s]"
+            ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         }
+      ],
+      "source": [
+        "from langchain.llms import CTransformers\n",
+        "config = {'max_new_tokens': 100, 'temperature': 0}\n",
+        "llm = CTransformers(model='TheBloke/Mistral-7B-Instruct-v0.1-GGUF', model_file=\"mistral-7b-instruct-v0.1.Q4_K_M.gguf\", config=config)"
       ]
     },
     {
       "cell_type": "code",
+      "execution_count": 2,
+      "id": "MNm_7_Z50LFu",
+      "metadata": {
+        "id": "MNm_7_Z50LFu"
+      },
+      "outputs": [],
       "source": [
         "from langchain import PromptTemplate, LLMChain\n",
         "\n",
@@ -235,59 +241,52 @@
         "\n",
         "prompt = PromptTemplate(template=template, input_variables=[\"question\",\"context\"])\n",
         "llm_chain = LLMChain(prompt=prompt, llm=llm)"
-      ],
-      "metadata": {
-        "id": "MNm_7_Z50LFu"
-      },
-      "id": "MNm_7_Z50LFu",
-      "execution_count": 2,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "context_p = \"\"\" On August 10 said that its arm JSW Neo Energy has agreed to buy a portfolio of 1753 mega watt renewable energy generation capacity from Mytrah Energy India Pvt Ltd for Rs 10,530 crore.\"\"\"\n"
-      ],
+      "execution_count": 4,
+      "id": "KzW-JFVVCe4U",
       "metadata": {
         "id": "KzW-JFVVCe4U"
       },
-      "id": "KzW-JFVVCe4U",
-      "execution_count": 4,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "context_p = \"\"\" On August 10 said that its arm JSW Neo Energy has agreed to buy a portfolio of 1753 mega watt renewable energy generation capacity from Mytrah Energy India Pvt Ltd for Rs 10,530 crore.\"\"\"\n"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "id": "83udgnzuCoIQ",
+      "metadata": {
+        "id": "83udgnzuCoIQ"
+      },
+      "outputs": [],
       "source": [
         "question_p = \"\"\"What is the date for announcement\"\"\"\n",
         "response = llm_chain.run({\"question\":question_p,\"context\":context_p})\n",
         "\n",
         "response"
-      ],
-      "metadata": {
-        "id": "83udgnzuCoIQ"
-      },
-      "id": "83udgnzuCoIQ",
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "question_p = \"\"\"What company is buyer and seller here\"\"\"\n",
-        "response = llm_chain.run({\"question\":question_p,\"context\":context_p})"
-      ],
+      "execution_count": 5,
+      "id": "w6Y9ZHVp89wa",
       "metadata": {
         "id": "w6Y9ZHVp89wa"
       },
-      "id": "w6Y9ZHVp89wa",
-      "execution_count": 5,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "question_p = \"\"\"What company is buyer and seller here\"\"\"\n",
+        "response = llm_chain.run({\"question\":question_p,\"context\":context_p})"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "response"
-      ],
+      "execution_count": 6,
+      "id": "s0PHieG69YhZ",
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -296,72 +295,51 @@
         "id": "s0PHieG69YhZ",
         "outputId": "45a8543d-4eed-430e-c50d-f0015b8ba50a"
       },
-      "id": "s0PHieG69YhZ",
-      "execution_count": 6,
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
-            "text/plain": [
-              "'The buyer is JSW Neo Energy and the seller is Mytrah Energy India Pvt Ltd.'"
-            ],
             "application/vnd.google.colaboratory.intrinsic+json": {
               "type": "string"
-            }
+            },
+            "text/plain": [
+              "'The buyer is JSW Neo Energy and the seller is Mytrah Energy India Pvt Ltd.'"
+            ]
           },
+          "execution_count": 6,
           "metadata": {},
-          "execution_count": 6
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "response"
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "## Gradio"
-      ],
+      "id": "ibzXKDR--BR1",
       "metadata": {
         "id": "ibzXKDR--BR1"
       },
-      "id": "ibzXKDR--BR1"
+      "source": [
+        "## Gradio"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "!pip -q install gradio"
-      ],
+      "execution_count": null,
+      "id": "NFnnoSyr97s-",
       "metadata": {
         "id": "NFnnoSyr97s-"
       },
-      "id": "NFnnoSyr97s-",
-      "execution_count": null,
-      "outputs": []
+      "outputs": [],
+      "source": [
+        "!pip -q install gradio"
+      ]
     },
     {
       "cell_type": "code",
-      "source": [
-        "import gradio as gr\n",
-        "\n",
-        "def question_answer(context: str, question: str):\n",
-        "  print(context, question)\n",
-        "  response = llm_chain.run({\"question\":question, \"context\":context})\n",
-        "  print(response)\n",
-        "  return response\n",
-        "\n",
-        "theme = gr.themes.Default(\n",
-        "    primary_hue=\"indigo\",\n",
-        "    secondary_hue=\"pink\",\n",
-        "    neutral_hue=\"slate\",\n",
-        ")\n",
-        "\n",
-        "with gr.Blocks(theme=theme) as interface:\n",
-        "  context = gr.Textbox(lines=5, placeholder=\"On August 10 said that its arm JSW Neo Energy has agreed to buy a portfolio of 1753 mega watt renewable energy generation capacity from Mytrah Energy India Pvt Ltd for Rs 10,530 crore.\", label=\"Context\")\n",
-        "  question = gr.Textbox(placeholder=\"What company is buyer and seller here\", label=\"Question\")\n",
-        "  answer = gr.Textbox(placeholder=\"Answer will be here\", label=\"Answer\")\n",
-        "  ask_button = gr.Button(\"Ask (this might take a minute since it's using CPU)\")\n",
-        "  ask_button.click(fn=question_answer, inputs=[context, question], outputs=answer)\n",
-        "\n",
-        "interface.launch(debug=True)"
-      ],
+      "execution_count": 4,
+      "id": "8JuL87Cj-Mkc",
       "metadata": {
         "colab": {
           "base_uri": "https://localhost:8080/",
@@ -370,12 +348,10 @@
         "id": "8JuL87Cj-Mkc",
         "outputId": "1e6a264b-c783-4bf5-be8f-98a36ef1dd90"
       },
-      "id": "8JuL87Cj-Mkc",
-      "execution_count": 4,
       "outputs": [
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "Setting queue=True in a Colab notebook requires sharing enabled. Setting `share=True` (you can turn this off by setting `share=False` in `launch()` explicitly).\n",
             "\n",
@@ -386,20 +362,20 @@
           ]
         },
         {
-          "output_type": "display_data",
           "data": {
-            "text/plain": [
-              "<IPython.core.display.HTML object>"
-            ],
             "text/html": [
               "<div><iframe src=\"https://92baaf0e9ff8456b6a.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+            ],
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
             ]
           },
-          "metadata": {}
+          "metadata": {},
+          "output_type": "display_data"
         },
         {
-          "output_type": "stream",
           "name": "stdout",
+          "output_type": "stream",
           "text": [
             "James Webb Space Telescope detects quartz crystals in the atmosphere of exoplanet WASP-17b.  What are found on the WASP-17b?\n",
             "Quartz crystals in the atmosphere of WASP-17b.\n",
@@ -408,37 +384,67 @@
           ]
         },
         {
-          "output_type": "execute_result",
           "data": {
             "text/plain": []
           },
+          "execution_count": 4,
           "metadata": {},
-          "execution_count": 4
+          "output_type": "execute_result"
         }
+      ],
+      "source": [
+        "import gradio as gr\n",
+        "\n",
+        "def question_answer(context: str, question: str):\n",
+        "  print(context, question)\n",
+        "  response = llm_chain.run({\"question\":question, \"context\":context})\n",
+        "  print(response)\n",
+        "  return response\n",
+        "\n",
+        "theme = gr.themes.Default(\n",
+        "    primary_hue=\"indigo\",\n",
+        "    secondary_hue=\"pink\",\n",
+        "    neutral_hue=\"slate\",\n",
+        ")\n",
+        "\n",
+        "with gr.Blocks(theme=theme) as interface:\n",
+        "  context = gr.Textbox(lines=5, placeholder=\"On August 10 said that its arm JSW Neo Energy has agreed to buy a portfolio of 1753 mega watt renewable energy generation capacity from Mytrah Energy India Pvt Ltd for Rs 10,530 crore.\", label=\"Context\")\n",
+        "  question = gr.Textbox(placeholder=\"What company is buyer and seller here\", label=\"Question\")\n",
+        "  answer = gr.Textbox(placeholder=\"Answer will be here\", label=\"Answer\")\n",
+        "  ask_button = gr.Button(\"Ask (this might take a minute since it's using CPU)\")\n",
+        "  ask_button.click(fn=question_answer, inputs=[context, question], outputs=answer)\n",
+        "\n",
+        "interface.launch(debug=True)"
       ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "![pin](https://media.discordapp.net/attachments/201349824300318721/1163850900838813746/image.png?ex=6541139e&is=652e9e9e&hm=a2213e8ae5b94786bb0661c94435a46885812c9eb532f56fc0270e789787b333&=&width=903&height=486)"
-      ],
+      "id": "1kOOTJkRGyxX",
       "metadata": {
         "id": "1kOOTJkRGyxX"
       },
-      "id": "1kOOTJkRGyxX"
+      "source": [
+        "![pin](https://media.discordapp.net/attachments/201349824300318721/1163850900838813746/image.png?ex=6541139e&is=652e9e9e&hm=a2213e8ae5b94786bb0661c94435a46885812c9eb532f56fc0270e789787b333&=&width=903&height=486)"
+      ]
     },
     {
       "cell_type": "markdown",
-      "source": [
-        "## To deploy on spaces"
-      ],
+      "id": "xMHp65tnEcm7",
       "metadata": {
         "id": "xMHp65tnEcm7"
       },
-      "id": "xMHp65tnEcm7"
+      "source": [
+        "## To deploy on spaces"
+      ]
     },
     {
       "cell_type": "code",
+      "execution_count": null,
+      "id": "DGWZwlgVEegn",
+      "metadata": {
+        "id": "DGWZwlgVEegn"
+      },
+      "outputs": [],
       "source": [
         "import gradio as gr\n",
         "from langchain.llms import CTransformers\n",
@@ -475,13 +481,7 @@
         "  ask_button.click(fn=question_answer, inputs=[context, question], outputs=answer)\n",
         "\n",
         "interface.launch(debug=True)"
-      ],
-      "metadata": {
-        "id": "DGWZwlgVEegn"
-      },
-      "id": "DGWZwlgVEegn",
-      "execution_count": null,
-      "outputs": []
+      ]
     },
     {
       "cell_type": "markdown",
@@ -498,26 +498,26 @@
       "execution_count": 7,
       "id": "ced6b581-708f-4758-86ff-3cd51bf14f99",
       "metadata": {
-        "id": "ced6b581-708f-4758-86ff-3cd51bf14f99",
         "colab": {
           "base_uri": "https://localhost:8080/",
           "height": 35
         },
+        "id": "ced6b581-708f-4758-86ff-3cd51bf14f99",
         "outputId": "72d04fb3-cffc-4647-d045-ee3d24e117cc"
       },
       "outputs": [
         {
-          "output_type": "execute_result",
           "data": {
-            "text/plain": [
-              "'Assignment successfully submitted'"
-            ],
             "application/vnd.google.colaboratory.intrinsic+json": {
               "type": "string"
-            }
+            },
+            "text/plain": [
+              "'Assignment successfully submitted'"
+            ]
           },
+          "execution_count": 7,
           "metadata": {},
-          "execution_count": 7
+          "output_type": "execute_result"
         }
       ],
       "source": [
@@ -538,6 +538,10 @@
     }
   ],
   "metadata": {
+    "colab": {
+      "provenance": [],
+      "toc_visible": true
+    },
     "kernelspec": {
       "display_name": "Python 3 (ipykernel)",
       "language": "python",
@@ -555,108 +559,16 @@
       "pygments_lexer": "ipython3",
       "version": "3.11.3"
     },
-    "colab": {
-      "provenance": [],
-      "toc_visible": true
-    },
     "widgets": {
       "application/vnd.jupyter.widget-state+json": {
-        "54c0e2e43d27482f9dcb67ce9d60c85c": {
-          "model_module": "@jupyter-widgets/controls",
-          "model_name": "HBoxModel",
-          "model_module_version": "1.5.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/controls",
-            "_model_module_version": "1.5.0",
-            "_model_name": "HBoxModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "HBoxView",
-            "box_style": "",
-            "children": [
-              "IPY_MODEL_a1595618ab5f48e08a7c9a6a0879ad26",
-              "IPY_MODEL_4912fec232b44537a80c52b04291fe7b",
-              "IPY_MODEL_ca88cec6e0834e27990b8350b752c827"
-            ],
-            "layout": "IPY_MODEL_5ba1c94eddd24e2aae5b25d9d6884dc0"
-          }
-        },
-        "a1595618ab5f48e08a7c9a6a0879ad26": {
-          "model_module": "@jupyter-widgets/controls",
-          "model_name": "HTMLModel",
-          "model_module_version": "1.5.0",
+        "095fd8b26865435589b2e79e12ecef24": {
+          "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/controls",
-            "_model_module_version": "1.5.0",
-            "_model_name": "HTMLModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "HTMLView",
-            "description": "",
-            "description_tooltip": null,
-            "layout": "IPY_MODEL_1708f929db494251b19de5d0322ff26d",
-            "placeholder": "​",
-            "style": "IPY_MODEL_2751b58cfcc84215aabfc45de27b77b3",
-            "value": "Fetching 1 files: 100%"
-          }
-        },
-        "4912fec232b44537a80c52b04291fe7b": {
-          "model_module": "@jupyter-widgets/controls",
-          "model_name": "FloatProgressModel",
-          "model_module_version": "1.5.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/controls",
-            "_model_module_version": "1.5.0",
-            "_model_name": "FloatProgressModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "ProgressView",
-            "bar_style": "success",
-            "description": "",
-            "description_tooltip": null,
-            "layout": "IPY_MODEL_38895ca8e4f749838b071b724cc39b46",
-            "max": 1,
-            "min": 0,
-            "orientation": "horizontal",
-            "style": "IPY_MODEL_55b8641523d84c15bea6b35f04c554fc",
-            "value": 1
-          }
-        },
-        "ca88cec6e0834e27990b8350b752c827": {
-          "model_module": "@jupyter-widgets/controls",
-          "model_name": "HTMLModel",
-          "model_module_version": "1.5.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/controls",
-            "_model_module_version": "1.5.0",
-            "_model_name": "HTMLModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "HTMLView",
-            "description": "",
-            "description_tooltip": null,
-            "layout": "IPY_MODEL_866da5a8e421477c8089dbfa1bdcc812",
-            "placeholder": "​",
-            "style": "IPY_MODEL_66bbfff8db6146b2a7b922b1b590f1f9",
-            "value": " 1/1 [00:00&lt;00:00, 36.62it/s]"
-          }
-        },
-        "5ba1c94eddd24e2aae5b25d9d6884dc0": {
-          "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
-          "model_module_version": "1.2.0",
-          "state": {
-            "_model_module": "@jupyter-widgets/base",
-            "_model_module_version": "1.2.0",
-            "_model_name": "LayoutModel",
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
             "_view_count": null,
             "_view_module": "@jupyter-widgets/base",
             "_view_module_version": "1.2.0",
@@ -701,10 +613,32 @@
             "width": null
           }
         },
+        "0b7b4570dc944e818348db1ce6954e3a": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HBoxModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HBoxView",
+            "box_style": "",
+            "children": [
+              "IPY_MODEL_580648891bde443786cf1b06070f846f",
+              "IPY_MODEL_24e964fbe9044395a3bce8b1a83a05de",
+              "IPY_MODEL_a5e99e6026f24c408cca741c6fc2509c"
+            ],
+            "layout": "IPY_MODEL_095fd8b26865435589b2e79e12ecef24"
+          }
+        },
         "1708f929db494251b19de5d0322ff26d": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -753,93 +687,49 @@
             "width": null
           }
         },
-        "2751b58cfcc84215aabfc45de27b77b3": {
+        "24e964fbe9044395a3bce8b1a83a05de": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "DescriptionStyleModel",
           "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
           "state": {
+            "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
-            "_model_name": "DescriptionStyleModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/base",
-            "_view_module_version": "1.2.0",
-            "_view_name": "StyleView",
-            "description_width": ""
-          }
-        },
-        "38895ca8e4f749838b071b724cc39b46": {
-          "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
-          "model_module_version": "1.2.0",
-          "state": {
-            "_model_module": "@jupyter-widgets/base",
-            "_model_module_version": "1.2.0",
-            "_model_name": "LayoutModel",
+            "_model_name": "FloatProgressModel",
             "_view_count": null,
-            "_view_module": "@jupyter-widgets/base",
-            "_view_module_version": "1.2.0",
-            "_view_name": "LayoutView",
-            "align_content": null,
-            "align_items": null,
-            "align_self": null,
-            "border": null,
-            "bottom": null,
-            "display": null,
-            "flex": null,
-            "flex_flow": null,
-            "grid_area": null,
-            "grid_auto_columns": null,
-            "grid_auto_flow": null,
-            "grid_auto_rows": null,
-            "grid_column": null,
-            "grid_gap": null,
-            "grid_row": null,
-            "grid_template_areas": null,
-            "grid_template_columns": null,
-            "grid_template_rows": null,
-            "height": null,
-            "justify_content": null,
-            "justify_items": null,
-            "left": null,
-            "margin": null,
-            "max_height": null,
-            "max_width": null,
-            "min_height": null,
-            "min_width": null,
-            "object_fit": null,
-            "object_position": null,
-            "order": null,
-            "overflow": null,
-            "overflow_x": null,
-            "overflow_y": null,
-            "padding": null,
-            "right": null,
-            "top": null,
-            "visibility": null,
-            "width": null
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_5adcafc9d6f84ca9ae372ee9295cd944",
+            "max": 1,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_ccd9de576ca9430d9a8064a3a8e1347b",
+            "value": 1
           }
         },
-        "55b8641523d84c15bea6b35f04c554fc": {
+        "2751b58cfcc84215aabfc45de27b77b3": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "ProgressStyleModel",
           "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
           "state": {
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
-            "_model_name": "ProgressStyleModel",
+            "_model_name": "DescriptionStyleModel",
             "_view_count": null,
             "_view_module": "@jupyter-widgets/base",
             "_view_module_version": "1.2.0",
             "_view_name": "StyleView",
-            "bar_color": null,
             "description_width": ""
           }
         },
-        "866da5a8e421477c8089dbfa1bdcc812": {
+        "38895ca8e4f749838b071b724cc39b46": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -888,25 +778,34 @@
             "width": null
           }
         },
-        "66bbfff8db6146b2a7b922b1b590f1f9": {
+        "4912fec232b44537a80c52b04291fe7b": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "DescriptionStyleModel",
           "model_module_version": "1.5.0",
+          "model_name": "FloatProgressModel",
           "state": {
+            "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
-            "_model_name": "DescriptionStyleModel",
+            "_model_name": "FloatProgressModel",
             "_view_count": null,
-            "_view_module": "@jupyter-widgets/base",
-            "_view_module_version": "1.2.0",
-            "_view_name": "StyleView",
-            "description_width": ""
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "ProgressView",
+            "bar_style": "success",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_38895ca8e4f749838b071b724cc39b46",
+            "max": 1,
+            "min": 0,
+            "orientation": "horizontal",
+            "style": "IPY_MODEL_55b8641523d84c15bea6b35f04c554fc",
+            "value": 1
           }
         },
-        "0b7b4570dc944e818348db1ce6954e3a": {
+        "54c0e2e43d27482f9dcb67ce9d60c85c": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "HBoxModel",
           "model_module_version": "1.5.0",
+          "model_name": "HBoxModel",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
@@ -918,62 +817,33 @@
             "_view_name": "HBoxView",
             "box_style": "",
             "children": [
-              "IPY_MODEL_580648891bde443786cf1b06070f846f",
-              "IPY_MODEL_24e964fbe9044395a3bce8b1a83a05de",
-              "IPY_MODEL_a5e99e6026f24c408cca741c6fc2509c"
+              "IPY_MODEL_a1595618ab5f48e08a7c9a6a0879ad26",
+              "IPY_MODEL_4912fec232b44537a80c52b04291fe7b",
+              "IPY_MODEL_ca88cec6e0834e27990b8350b752c827"
             ],
-            "layout": "IPY_MODEL_095fd8b26865435589b2e79e12ecef24"
+            "layout": "IPY_MODEL_5ba1c94eddd24e2aae5b25d9d6884dc0"
           }
         },
-        "580648891bde443786cf1b06070f846f": {
+        "55b8641523d84c15bea6b35f04c554fc": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "HTMLModel",
           "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
           "state": {
-            "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
-            "_model_name": "HTMLModel",
+            "_model_name": "ProgressStyleModel",
             "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "HTMLView",
-            "description": "",
-            "description_tooltip": null,
-            "layout": "IPY_MODEL_a9cb9e343b93467895741fff5f0db25d",
-            "placeholder": "​",
-            "style": "IPY_MODEL_d9bf82bf03984146aadfa5441f89ea98",
-            "value": "Fetching 1 files: 100%"
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
           }
         },
-        "24e964fbe9044395a3bce8b1a83a05de": {
+        "580648891bde443786cf1b06070f846f": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "FloatProgressModel",
           "model_module_version": "1.5.0",
-          "state": {
-            "_dom_classes": [],
-            "_model_module": "@jupyter-widgets/controls",
-            "_model_module_version": "1.5.0",
-            "_model_name": "FloatProgressModel",
-            "_view_count": null,
-            "_view_module": "@jupyter-widgets/controls",
-            "_view_module_version": "1.5.0",
-            "_view_name": "ProgressView",
-            "bar_style": "success",
-            "description": "",
-            "description_tooltip": null,
-            "layout": "IPY_MODEL_5adcafc9d6f84ca9ae372ee9295cd944",
-            "max": 1,
-            "min": 0,
-            "orientation": "horizontal",
-            "style": "IPY_MODEL_ccd9de576ca9430d9a8064a3a8e1347b",
-            "value": 1
-          }
-        },
-        "a5e99e6026f24c408cca741c6fc2509c": {
-          "model_module": "@jupyter-widgets/controls",
           "model_name": "HTMLModel",
-          "model_module_version": "1.5.0",
           "state": {
             "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
@@ -985,16 +855,16 @@
             "_view_name": "HTMLView",
             "description": "",
             "description_tooltip": null,
-            "layout": "IPY_MODEL_9d20bac626ef472f848d727d56afc98c",
+            "layout": "IPY_MODEL_a9cb9e343b93467895741fff5f0db25d",
             "placeholder": "​",
-            "style": "IPY_MODEL_75490fa060524ef3bd675bb41a0c5eb3",
-            "value": " 1/1 [00:00&lt;00:00, 35.90it/s]"
+            "style": "IPY_MODEL_d9bf82bf03984146aadfa5441f89ea98",
+            "value": "Fetching 1 files: 100%"
           }
         },
-        "095fd8b26865435589b2e79e12ecef24": {
+        "5adcafc9d6f84ca9ae372ee9295cd944": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -1043,10 +913,10 @@
             "width": null
           }
         },
-        "a9cb9e343b93467895741fff5f0db25d": {
+        "5ba1c94eddd24e2aae5b25d9d6884dc0": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -1095,10 +965,25 @@
             "width": null
           }
         },
-        "d9bf82bf03984146aadfa5441f89ea98": {
+        "66bbfff8db6146b2a7b922b1b590f1f9": {
           "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
           "model_name": "DescriptionStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "DescriptionStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "description_width": ""
+          }
+        },
+        "75490fa060524ef3bd675bb41a0c5eb3": {
+          "model_module": "@jupyter-widgets/controls",
           "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
           "state": {
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
@@ -1110,10 +995,62 @@
             "description_width": ""
           }
         },
-        "5adcafc9d6f84ca9ae372ee9295cd944": {
+        "866da5a8e421477c8089dbfa1bdcc812": {
           "model_module": "@jupyter-widgets/base",
+          "model_module_version": "1.2.0",
           "model_name": "LayoutModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/base",
+            "_model_module_version": "1.2.0",
+            "_model_name": "LayoutModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "LayoutView",
+            "align_content": null,
+            "align_items": null,
+            "align_self": null,
+            "border": null,
+            "bottom": null,
+            "display": null,
+            "flex": null,
+            "flex_flow": null,
+            "grid_area": null,
+            "grid_auto_columns": null,
+            "grid_auto_flow": null,
+            "grid_auto_rows": null,
+            "grid_column": null,
+            "grid_gap": null,
+            "grid_row": null,
+            "grid_template_areas": null,
+            "grid_template_columns": null,
+            "grid_template_rows": null,
+            "height": null,
+            "justify_content": null,
+            "justify_items": null,
+            "left": null,
+            "margin": null,
+            "max_height": null,
+            "max_width": null,
+            "min_height": null,
+            "min_width": null,
+            "object_fit": null,
+            "object_position": null,
+            "order": null,
+            "overflow": null,
+            "overflow_x": null,
+            "overflow_y": null,
+            "padding": null,
+            "right": null,
+            "top": null,
+            "visibility": null,
+            "width": null
+          }
+        },
+        "9d20bac626ef472f848d727d56afc98c": {
+          "model_module": "@jupyter-widgets/base",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -1162,26 +1099,52 @@
             "width": null
           }
         },
-        "ccd9de576ca9430d9a8064a3a8e1347b": {
+        "a1595618ab5f48e08a7c9a6a0879ad26": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "ProgressStyleModel",
           "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
           "state": {
+            "_dom_classes": [],
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
-            "_model_name": "ProgressStyleModel",
+            "_model_name": "HTMLModel",
             "_view_count": null,
-            "_view_module": "@jupyter-widgets/base",
-            "_view_module_version": "1.2.0",
-            "_view_name": "StyleView",
-            "bar_color": null,
-            "description_width": ""
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_1708f929db494251b19de5d0322ff26d",
+            "placeholder": "​",
+            "style": "IPY_MODEL_2751b58cfcc84215aabfc45de27b77b3",
+            "value": "Fetching 1 files: 100%"
           }
         },
-        "9d20bac626ef472f848d727d56afc98c": {
+        "a5e99e6026f24c408cca741c6fc2509c": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_9d20bac626ef472f848d727d56afc98c",
+            "placeholder": "​",
+            "style": "IPY_MODEL_75490fa060524ef3bd675bb41a0c5eb3",
+            "value": " 1/1 [00:00&lt;00:00, 35.90it/s]"
+          }
+        },
+        "a9cb9e343b93467895741fff5f0db25d": {
           "model_module": "@jupyter-widgets/base",
-          "model_name": "LayoutModel",
           "model_module_version": "1.2.0",
+          "model_name": "LayoutModel",
           "state": {
             "_model_module": "@jupyter-widgets/base",
             "_model_module_version": "1.2.0",
@@ -1230,10 +1193,47 @@
             "width": null
           }
         },
-        "75490fa060524ef3bd675bb41a0c5eb3": {
+        "ca88cec6e0834e27990b8350b752c827": {
           "model_module": "@jupyter-widgets/controls",
-          "model_name": "DescriptionStyleModel",
           "model_module_version": "1.5.0",
+          "model_name": "HTMLModel",
+          "state": {
+            "_dom_classes": [],
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "HTMLModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/controls",
+            "_view_module_version": "1.5.0",
+            "_view_name": "HTMLView",
+            "description": "",
+            "description_tooltip": null,
+            "layout": "IPY_MODEL_866da5a8e421477c8089dbfa1bdcc812",
+            "placeholder": "​",
+            "style": "IPY_MODEL_66bbfff8db6146b2a7b922b1b590f1f9",
+            "value": " 1/1 [00:00&lt;00:00, 36.62it/s]"
+          }
+        },
+        "ccd9de576ca9430d9a8064a3a8e1347b": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "ProgressStyleModel",
+          "state": {
+            "_model_module": "@jupyter-widgets/controls",
+            "_model_module_version": "1.5.0",
+            "_model_name": "ProgressStyleModel",
+            "_view_count": null,
+            "_view_module": "@jupyter-widgets/base",
+            "_view_module_version": "1.2.0",
+            "_view_name": "StyleView",
+            "bar_color": null,
+            "description_width": ""
+          }
+        },
+        "d9bf82bf03984146aadfa5441f89ea98": {
+          "model_module": "@jupyter-widgets/controls",
+          "model_module_version": "1.5.0",
+          "model_name": "DescriptionStyleModel",
           "state": {
             "_model_module": "@jupyter-widgets/controls",
             "_model_module_version": "1.5.0",
@@ -1250,4 +1250,4 @@
   },
   "nbformat": 4,
   "nbformat_minor": 5
-}
+}