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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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"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",
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"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 = ['Ψ§ΩΩ
Ψ―ΩΩΩ', 'Ψ¨ΨΊΨ―Ψ§Ψ―', 'ΩΩΩΨ©', 'Ψ¨Ψ΅Ψ±Ψ©']\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 = ['Ψ§ΩΩ
Ψ―ΩΩΩ', 'Ψ¨ΨΊΨ―Ψ§Ψ―', 'ΩΩΩΨ©', 'Ψ¨Ψ΅Ψ±Ψ©'], 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 = ['Ψ§ΩΩ
Ψ―ΩΩΩ', 'Ψ¨ΨΊΨ―Ψ§Ψ―', 'ΩΩΩΨ©', 'Ψ¨Ψ΅Ψ±Ψ©'], 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": {}
}
]
}
]
} |