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app_gradio.ipynb

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+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "execution_count": 2,
+      "metadata": {
+        "id": "2rTwCSHh4PQD",
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 1000
+        },
+        "outputId": "b3902c30-a3f0-4903-9269-aa3591998f14"
+      },
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Collecting dash\n",
+            "  Downloading dash-2.13.0-py3-none-any.whl (10.4 MB)\n",
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+            "\u001b[?25hRequirement already satisfied: Flask<2.3.0,>=1.0.4 in /usr/local/lib/python3.10/dist-packages (from dash) (2.2.5)\n",
+            "Collecting Werkzeug<2.3.0 (from dash)\n",
+            "  Downloading Werkzeug-2.2.3-py3-none-any.whl (233 kB)\n",
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+            "Collecting dash-html-components==2.0.0 (from dash)\n",
+            "  Downloading dash_html_components-2.0.0-py3-none-any.whl (4.1 kB)\n",
+            "Collecting dash-core-components==2.0.0 (from dash)\n",
+            "  Downloading dash_core_components-2.0.0-py3-none-any.whl (3.8 kB)\n",
+            "Collecting dash-table==5.0.0 (from dash)\n",
+            "  Downloading dash_table-5.0.0-py3-none-any.whl (3.9 kB)\n",
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+            "  Downloading retrying-1.3.4-py3-none-any.whl (11 kB)\n",
+            "Collecting ansi2html (from dash)\n",
+            "  Downloading ansi2html-1.8.0-py3-none-any.whl (16 kB)\n",
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+            "Requirement already satisfied: six>=1.7.0 in /usr/local/lib/python3.10/dist-packages (from retrying->dash) (1.16.0)\n",
+            "Installing collected packages: dash-table, dash-html-components, dash-core-components, Werkzeug, retrying, ansi2html, dash\n",
+            "  Attempting uninstall: Werkzeug\n",
+            "    Found existing installation: Werkzeug 2.3.7\n",
+            "    Uninstalling Werkzeug-2.3.7:\n",
+            "      Successfully uninstalled Werkzeug-2.3.7\n",
+            "Successfully installed Werkzeug-2.2.3 ansi2html-1.8.0 dash-2.13.0 dash-core-components-2.0.0 dash-html-components-2.0.0 dash-table-5.0.0 retrying-1.3.4\n",
+            "Collecting gradio\n",
+            "  Downloading gradio-3.41.2-py3-none-any.whl (20.1 MB)\n",
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+            "\u001b[?25hCollecting aiofiles<24.0,>=22.0 (from gradio)\n",
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+            "\u001b[?25hCollecting ffmpy (from gradio)\n",
+            "  Downloading ffmpy-0.3.1.tar.gz (5.5 kB)\n",
+            "  Preparing metadata (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "Collecting gradio-client==0.5.0 (from gradio)\n",
+            "  Downloading gradio_client-0.5.0-py3-none-any.whl (298 kB)\n",
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+            "\u001b[?25hCollecting httpx (from gradio)\n",
+            "  Downloading httpx-0.24.1-py3-none-any.whl (75 kB)\n",
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+            "\u001b[?25hCollecting huggingface-hub>=0.14.0 (from gradio)\n",
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+            "Collecting orjson~=3.0 (from gradio)\n",
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+            "Collecting pydub (from gradio)\n",
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+            "  Downloading semantic_version-2.10.0-py2.py3-none-any.whl (15 kB)\n",
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+            "\u001b[?25hCollecting websockets<12.0,>=10.0 (from gradio)\n",
+            "  Downloading websockets-11.0.3-cp310-cp310-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl (129 kB)\n",
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+            "Collecting h11>=0.8 (from uvicorn>=0.14.0->gradio)\n",
+            "  Downloading h11-0.14.0-py3-none-any.whl (58 kB)\n",
+            "\u001b[2K     \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m58.3/58.3 kB\u001b[0m \u001b[31m7.8 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n",
+            "\u001b[?25hCollecting starlette<0.28.0,>=0.27.0 (from fastapi->gradio)\n",
+            "  Downloading starlette-0.27.0-py3-none-any.whl (66 kB)\n",
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+            "\u001b[?25hCollecting httpcore<0.18.0,>=0.15.0 (from httpx->gradio)\n",
+            "  Downloading httpcore-0.17.3-py3-none-any.whl (74 kB)\n",
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+            "Requirement already satisfied: six>=1.5 in /usr/local/lib/python3.10/dist-packages (from python-dateutil>=2.7->matplotlib~=3.0->gradio) (1.16.0)\n",
+            "Requirement already satisfied: exceptiongroup in /usr/local/lib/python3.10/dist-packages (from anyio<5.0,>=3.0->httpcore<0.18.0,>=0.15.0->httpx->gradio) (1.1.3)\n",
+            "Building wheels for collected packages: ffmpy\n",
+            "  Building wheel for ffmpy (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
+            "  Created wheel for ffmpy: filename=ffmpy-0.3.1-py3-none-any.whl size=5579 sha256=2032dd8784fdbb8045cdb96c951ee65c67b09d9fcd8cefffdead131699da091f\n",
+            "  Stored in directory: /root/.cache/pip/wheels/01/a6/d1/1c0828c304a4283b2c1639a09ad86f83d7c487ef34c6b4a1bf\n",
+            "Successfully built ffmpy\n",
+            "Installing collected packages: pydub, ffmpy, websockets, semantic-version, python-multipart, orjson, h11, aiofiles, uvicorn, starlette, huggingface-hub, httpcore, httpx, fastapi, gradio-client, gradio\n",
+            "Successfully installed aiofiles-23.2.1 fastapi-0.103.0 ffmpy-0.3.1 gradio-3.41.2 gradio-client-0.5.0 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 orjson-3.9.5 pydub-0.25.1 python-multipart-0.0.6 semantic-version-2.10.0 starlette-0.27.0 uvicorn-0.23.2 websockets-11.0.3\n"
+          ]
+        }
+      ],
+      "source": [
+        "\n",
+        "import numpy as np\n",
+        "!pip install dash\n",
+        "!pip install gradio\n",
+        "from dash import Dash, html, dcc, callback, Output, Input\n",
+        "import plotly.express as px\n",
+        "import pandas as pd\n",
+        "\n",
+        "import gradio\n",
+        "\n",
+        "\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import plotly.graph_objects as go"
+      ],
+      "metadata": {
+        "id": "UTT-vjWhSfb1"
+      },
+      "execution_count": 9,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "taraf_s = pd.read_csv('/content/drive/MyDrive/Hadith Project/taraf_by_year.csv')"
+      ],
+      "metadata": {
+        "id": "aQ7A9JuO5OXG"
+      },
+      "execution_count": 3,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "taraf_s = taraf_s.sort_values(['City', 'Year'], ascending=True)"
+      ],
+      "metadata": {
+        "id": "LQXxkbkb5ORG"
+      },
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "cities = taraf_s['City'].unique().tolist()\n",
+        "min_year = int(taraf_s['Year'].min())\n",
+        "max_year = int(taraf_s['Year'].max())\n"
+      ],
+      "metadata": {
+        "id": "CfOMDUskb-rm"
+      },
+      "execution_count": 5,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "citi = ['المدينه', 'بغداد', 'كوفة', 'بصرة']\n",
+        "min_year = 0\n",
+        "max_year = 400\n",
+        "filtered = taraf_s[taraf_s['City'].isin(citi) & (taraf_s['Year'] >= min_year) & (taraf_s['Year'] <= max_year)]"
+      ],
+      "metadata": {
+        "id": "-tUrcfrRoI02"
+      },
+      "execution_count": 8,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "def plot_timeline(citi = ['المدينه', 'بغداد', 'كوفة', 'بصرة'], min_year = 0, max_year = 400):\n",
+        "  filtered = taraf_s[taraf_s['City'].isin(citi) & (taraf_s['Year'] >= min_year) & (taraf_s['Year'] <= max_year)]\n",
+        "  fig = px.line(data_frame = filtered, x = 'Year', y = 'Taraf', title = \"Tarafs per Year\", color = 'City' )\n",
+        "  fig.update_layout(title_font_color = 'red', title_x = .5)\n",
+        "\n",
+        "\n",
+        "\n",
+        "  return fig\n",
+        "\n"
+      ],
+      "metadata": {
+        "id": "VSa6g0LS5OMt"
+      },
+      "execution_count": 6,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "app = gradio.Interface(plot_timeline,\n",
+        "             [gradio.Dropdown(choices = cities, value = ['المدينه', 'بغداد', 'كوفة', 'بصرة'], multiselect=True),\n",
+        "                        gradio.Slider(min_year, max_year, value = 0, label = 'Begining', info = 'Choose the first year to display Tarafs'),\n",
+        "                        gradio.Slider(min_year, max_year, value = 400, label = 'End', info = 'Choose the last year to display Tarafs')\n",
+        "\n",
+        "                        ],\n",
+        "                       gradio.Plot()).launch(share = True)\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 610
+        },
+        "id": "hd0ah4OMYaQ3",
+        "outputId": "9310de1b-3f6e-4f55-ad9a-bb725a0c1b59"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Colab notebook detected. To show errors in colab notebook, set debug=True in launch()\n",
+            "Running on public URL: https://18e75bd7c5e6808eae.gradio.live\n",
+            "\n",
+            "This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)\n"
+          ]
+        },
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<IPython.core.display.HTML object>"
+            ],
+            "text/html": [
+              "<div><iframe src=\"https://18e75bd7c5e6808eae.gradio.live\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
+            ]
+          },
+          "metadata": {}
+        }
+      ]
+    }
+  ]
+}