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Update app.py
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app.py
CHANGED
@@ -1,4 +1,76 @@
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user_query = """
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which stock in the market has the highest price movement today?
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Summarise the latest news to analyse the potential cause and add it to my airtable data.
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"""
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#user_query = """
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#which stock in the market has the highest price movement today?
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#Summarise the latest news to analyse the potential cause and add it to my airtable data.
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#"""
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import openai
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import os
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import json
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from dotenv import load_dotenv
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from pyairtable import Table
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import requests
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load_dotenv()
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openai.api_key = os.getenv("OPENAI_API_KEY")
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#rapid_api_key = os.getenv("X-RapidAPI-Key")
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#airtable_api_key = os.getenv("AIRTABLE_API_KEY")
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#table = Table(airtable_api_key, "appHojHIE4y8gVBgc", "tbldUUKZFngr78ogg")
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function_descriptions = [
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{
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"name": "get_stock_movers",
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"description": "Get the stocks that has biggest price/volume moves, e.g. actives, gainers, losers, etc.",
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"parameters": {
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"type": "object",
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"properties": {
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},
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}
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},
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{
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"name": "get_stock_news",
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"description": "Get the latest news for a stock",
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"parameters": {
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"type": "object",
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"properties": {
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"performanceId": {
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"type": "string",
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"description": "id of the stock, which is referred as performanceID in the API"
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},
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},
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"required": ["performanceId"]
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}
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},
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{
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"name": "add_stock_news_airtable",
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"description": "Add the stock, news summary & price move to Airtable",
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"parameters": {
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"type": "object",
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"properties": {
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"stock": {
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"type": "string",
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"description": "stock ticker"
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},
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"move": {
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"type": "string",
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"description": "price move in %"
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},
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"news_summary": {
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"type": "string",
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"description": "news summary of the stock"
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},
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}
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}
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},
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]
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query = "Give me a summary of what happend to the tesla stock today?"
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messages = [{"role":"user", "content":query}]
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=messages,
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functions = function_descriptions,
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function_call="auto"
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)
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print(response)
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