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Build error
vitorbborges
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2f1c2d1
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Parent(s):
7880721
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app.ipynb
ADDED
@@ -0,0 +1,225 @@
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 4,
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"metadata": {
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"ExecuteTime": {
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"end_time": "2022-12-07T02:48:57.993204Z",
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"start_time": "2022-12-07T02:48:57.959327Z"
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}
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},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Running on local URL: http://127.0.0.1:7860\n",
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"\n",
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"To create a public link, set `share=True` in `launch()`.\n"
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]
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},
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{
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"data": {
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"text/html": [
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"<div><iframe src=\"http://127.0.0.1:7860/\" width=\"100%\" height=\"500\" allow=\"autoplay; camera; microphone; clipboard-read; clipboard-write;\" frameborder=\"0\" allowfullscreen></iframe></div>"
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],
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"text/plain": [
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"<IPython.core.display.HTML object>"
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]
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},
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"metadata": {},
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"output_type": "display_data"
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},
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{
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"name": "stderr",
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"output_type": "stream",
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"text": [
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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"C:\\Users\\vitor\\AppData\\Local\\Temp\\ipykernel_5048\\977487457.py:41: FutureWarning: The frame.append method is deprecated and will be removed from pandas in a future version. Use pandas.concat instead.\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n"
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]
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}
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],
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"source": [
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"import gradio as gr\n",
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"import random\n",
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"import pandas as pd\n",
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"import numpy as np\n",
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"\n",
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"opo = pd.read_csv('oportunidades_results.csv', lineterminator='\\n')\n",
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"opo = opo.iloc[np.where(opo['opo_brazil']=='Y')]\n",
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"opo.index = range(len(opo))\n",
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"simulation = pd.read_csv('simulation2.csv')\n",
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"userID = max(simulation['userID']) + 1\n",
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"\n",
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"def build_display_text(opo_n):\n",
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" \n",
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" title = opo.loc[opo_n]['opo_titulo']\n",
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" link = opo.loc[opo_n]['link']\n",
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" summary = opo.loc[opo_n]['facebook-bart-large-cnn_results']\n",
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"\n",
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" display_text = f\"**{title}**\\n\\nURL:\\n{link}\\n\\nSUMMARY:\\n{summary}\"\n",
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"\n",
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" return display_text\n",
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"\n",
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"opo_n_one = random.randrange(len(opo))\n",
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"opo_n_two = random.randrange(len(opo))\n",
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"opo_n_three = random.randrange(len(opo))\n",
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"opo_n_four = random.randrange(len(opo))\n",
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"\n",
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"evaluated = []\n",
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"\n",
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"def predict_next(option, nota):\n",
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" global userID\n",
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" global opo_n_one\n",
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" global opo_n_two\n",
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" global opo_n_three\n",
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" global opo_n_four\n",
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" global evaluated\n",
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" global opo\n",
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" global simulation\n",
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"\n",
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" selected = [opo_n_one, opo_n_two, opo_n_three, opo_n_four][int(option)-1]\n",
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"\n",
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" simulation = simulation.append({'userID': userID, 'itemID': selected, 'rating': nota}, ignore_index=True)\n",
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" evaluated.append(selected)\n",
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" \n",
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" from surprise import Reader\n",
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" reader = Reader(rating_scale=(1, 5))\n",
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"\n",
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" from surprise import Dataset\n",
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" data = Dataset.load_from_df(simulation[['userID', 'itemID', 'rating']], reader)\n",
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" trainset = data.build_full_trainset()\n",
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"\n",
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" from surprise import SVDpp\n",
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" svdpp = SVDpp()\n",
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" svdpp.fit(trainset)\n",
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"\n",
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" items = list()\n",
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" est = list()\n",
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"\n",
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" for i in range(len(opo)):\n",
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" if i not in evaluated:\n",
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" items.append(i)\n",
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" est.append(svdpp.predict(userID, i).est)\n",
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"\n",
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" opo_n_one = items[est.index(sorted(est)[-1])]\n",
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" opo_n_two = items[est.index(sorted(est)[-2])]\n",
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" opo_n_three = items[est.index(sorted(est)[-3])]\n",
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" opo_n_four = items[est.index(sorted(est)[-4])]\n",
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"\n",
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" return build_display_text(opo_n_one), build_display_text(opo_n_two), build_display_text(opo_n_three), build_display_text(opo_n_four)\n",
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"\n",
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"\n",
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"with gr.Blocks() as demo:\n",
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" with gr.Row():\n",
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" one_opo = gr.Textbox(build_display_text(opo_n_one), label='Oportunidade 1')\n",
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" two_opo = gr.Textbox(build_display_text(opo_n_two), label='Oportunidade 2')\n",
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"\n",
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" with gr.Row():\n",
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" three_opo = gr.Textbox(build_display_text(opo_n_three), label='Oportunidade 3')\n",
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" four_opo = gr.Textbox(build_display_text(opo_n_four), label='Oportunidade 4')\n",
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"\n",
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" with gr.Row():\n",
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" option = gr.Radio(['1', '2', '3', '4'], label='Opção', value = '1')\n",
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"\n",
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" with gr.Row():\n",
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" nota = gr.Slider(1,5,step=1,label=\"Nota 1\")\n",
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"\n",
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" with gr.Row():\n",
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" confirm = gr.Button(\"Confirmar\")\n",
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"\n",
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" confirm.click(fn=predict_next,\n",
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" inputs=[option, nota],\n",
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" outputs=[one_opo, two_opo, three_opo, four_opo])\n",
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"\n",
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"if __name__ == \"__main__\":\n",
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" demo.launch() "
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]
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}
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],
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"metadata": {
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"hide_input": false,
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"kernelspec": {
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"display_name": "Python 3",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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},
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"varInspector": {
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"cols": {
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"lenName": 16,
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"lenType": 16,
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"lenVar": 40
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},
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"kernels_config": {
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"python": {
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"delete_cmd_postfix": "",
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"delete_cmd_prefix": "del ",
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"library": "var_list.py",
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"varRefreshCmd": "print(var_dic_list())"
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},
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"r": {
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"delete_cmd_postfix": ") ",
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"delete_cmd_prefix": "rm(",
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"library": "var_list.r",
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"varRefreshCmd": "cat(var_dic_list()) "
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}
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},
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"types_to_exclude": [
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"module",
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"function",
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"builtin_function_or_method",
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"instance",
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"_Feature"
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],
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"window_display": false
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},
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"vscode": {
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"interpreter": {
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"hash": "5fe3e6f0cdaab8afdc61c52912fda83f7c0a71baaea1897dd7498e2df01e69ec"
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}
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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app.py
CHANGED
@@ -3,6 +3,7 @@ import random
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import pandas as pd
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opo = pd.read_csv('oportunidades_results.csv', lineterminator='\n')
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simulation = pd.read_csv('simulation2.csv')
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userID = max(simulation['userID']) + 1
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import pandas as pd
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opo = pd.read_csv('oportunidades_results.csv', lineterminator='\n')
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# opo = opo.iloc[np.where(opo['opo_brazil']=='Y')]
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simulation = pd.read_csv('simulation2.csv')
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userID = max(simulation['userID']) + 1
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