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Merge pull request #120 from dkbanik/community-contributions-branch
added notebook for week1-day1 in community-contributions
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week1/community-contributions/day1-debs_stock_summary_recommendation.ipynb
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{ | ||
"cells": [ | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "4e2a9393-7767-488e-a8bf-27c12dca35bd", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# imports\n", | ||
"\n", | ||
"import os\n", | ||
"import requests\n", | ||
"from dotenv import load_dotenv\n", | ||
"from bs4 import BeautifulSoup\n", | ||
"from IPython.display import Markdown, display\n", | ||
"from openai import OpenAI\n", | ||
"\n", | ||
"# If you get an error running this cell, then please head over to the troubleshooting notebook!" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "7b87cadb-d513-4303-baee-a37b6f938e4d", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Load environment variables in a file called .env\n", | ||
"\n", | ||
"load_dotenv(override=True)\n", | ||
"api_key = os.getenv('OPENAI_API_KEY')\n", | ||
"\n", | ||
"# Check the key\n", | ||
"\n", | ||
"if not api_key:\n", | ||
" print(\"No API key was found - please head over to the troubleshooting notebook in this folder to identify & fix!\")\n", | ||
"elif not api_key.startswith(\"sk-proj-\"):\n", | ||
" print(\"An API key was found, but it doesn't start sk-proj-; please check you're using the right key - see troubleshooting notebook\")\n", | ||
"elif api_key.strip() != api_key:\n", | ||
" print(\"An API key was found, but it looks like it might have space or tab characters at the start or end - please remove them - see troubleshooting notebook\")\n", | ||
"else:\n", | ||
" print(\"API key found and looks good so far!\")\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "0d2d5441-2afe-41b9-8039-c367acd715f9", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"openai = OpenAI()" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "c5e793b2-6775-426a-a139-4848291d0463", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# A class to represent a Webpage\n", | ||
"# If you're not familiar with Classes, check out the \"Intermediate Python\" notebook\n", | ||
"\n", | ||
"# Some websites need you to use proper headers when fetching them:\n", | ||
"headers = {\n", | ||
" \"User-Agent\": \"Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/117.0.0.0 Safari/537.36\"\n", | ||
"}\n", | ||
"\n", | ||
"class Website:\n", | ||
"\n", | ||
" def __init__(self, url):\n", | ||
" \"\"\"\n", | ||
" Create this Website object from the given url using the BeautifulSoup library\n", | ||
" \"\"\"\n", | ||
" self.url = url\n", | ||
" response = requests.get(url, headers=headers)\n", | ||
" soup = BeautifulSoup(response.content, 'html.parser')\n", | ||
" self.title = soup.title.string if soup.title else \"No title found\"\n", | ||
" for irrelevant in soup.body([\"script\", \"style\", \"img\", \"input\"]):\n", | ||
" irrelevant.decompose()\n", | ||
" self.text = soup.body.get_text(separator=\"\\n\", strip=True)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "7c7e0988-8f2d-4844-a847-eebec76b114a", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"website = \"https://www.screener.in/company/CMSINFO/\"\n", | ||
"biz = Website(website)\n", | ||
"user_prompt = \"Give short summary of the business \" + biz.text +\" and recommend pros and cons of the business in bullet points alongwith recommendation to buy or sell\"\n", | ||
"print(user_prompt)" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "00743dac-0e70-45b7-879a-d7293a6f68a6", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [ | ||
"# Step 1: Create your prompts\n", | ||
"website = \"https://www.screener.in/company/CMSINFO/\"\n", | ||
"biz = Website(website)\n", | ||
"\n", | ||
"system_prompt = \"You are an equity research analyst. Analyze the content of the website and give a summary of the business\"\n", | ||
"user_prompt = \"Give short summary of the business \" + biz.text +\" and recommend pros and cons of the business in bullet points alongwith recommendation to buy or sell\"\n", | ||
"\n", | ||
"# Step 2: Make the messages list\n", | ||
"\n", | ||
"messages = [\n", | ||
" {\"role\": \"system\", \"content\": system_prompt},\n", | ||
" {\"role\": \"user\", \"content\": user_prompt}\n", | ||
"]\n", | ||
"# Step 3: Call OpenAI\n", | ||
"\n", | ||
"# To give you a preview -- calling OpenAI with system and user messages:\n", | ||
"\n", | ||
"response = openai.chat.completions.create(model=\"gpt-4o-mini\", messages=messages)\n", | ||
"# Step 4: print the result\n", | ||
"\n", | ||
"print(response.choices[0].message.content)\n" | ||
] | ||
}, | ||
{ | ||
"cell_type": "code", | ||
"execution_count": null, | ||
"id": "d9edf96e-1190-44fe-9261-405709fb39cd", | ||
"metadata": {}, | ||
"outputs": [], | ||
"source": [] | ||
} | ||
], | ||
"metadata": { | ||
"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": "3.11.11" | ||
} | ||
}, | ||
"nbformat": 4, | ||
"nbformat_minor": 5 | ||
} |