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import os | |
from crews import get_financial_trading_crew | |
def invoke(openai_api_key, serper_api_key, stock_selection, initial_capital, risk_tolerance, trading_strategy_preference, news_impact_consideration): | |
if (openai_api_key == ""): | |
raise gr.Error("OpenAI API Key is required.") | |
if (serp_api_key == ""): | |
raise gr.Error("SERPER API Key is required.") | |
if (stock_selection == ""): | |
raise gr.Error("Stock Ticker is required.") | |
if (initial_capital == ""): | |
raise gr.Error("Initial Capital is required.") | |
if (risk_tolerance == ""): | |
raise gr.Error("Risk Tolerance is required.") | |
if (trading_strategy_preference == ""): | |
raise gr.Error("Trading Strategy Preference is required.") | |
if (news_impact_consideration == ""): | |
raise gr.Error("News Impact Consideration is required.") | |
os.environ["OPENAI_API_KEY"] = openai_api_key | |
os.environ["SERPER_API_KEY"] = serper_api_key | |
financial_trading_inputs = { | |
'stock_selection': stock_selection, | |
'initial_capital': initial_capital, | |
'risk_tolerance': risk_tolerance, | |
'trading_strategy_preference': trading_strategy_preference, | |
'news_impact_consideration': news_impact_consideration | |
} | |
return financial_trading_crew.kickoff(inputs=financial_trading_inputs) | |
description = """<a href='https://www.gradio.app/'>Gradio</a> UI using the <a href='https://openai.com/'>OpenAI</a> SDK | |
with <a href='https://openai.com/research/gpt-4'>gpt-4</a> model.""" | |
gr.close_all() | |
demo = gr.Interface(fn = invoke, | |
inputs = [gr.Textbox(label = "OpenAI API Key", type = "password", lines = 1), | |
gr.Textbox(label = "SERPER API Key", type = "password", lines = 1), | |
gr.Textbox(label = "Stock Ticker", value="SAN", lines = 1), | |
gr.Textbox(label = "Initial Capital", value=1000, lines = 1), | |
gr.Textbox(label = "Risk Tolerance", value="Medium", lines = 1), | |
gr.Textbox(label = "Trading Strategy Preference", value="Day Trading", lines = 1), | |
gr.Textbox(label = "News Impact Consideration", value=True, lines = 1)], | |
outputs = [gr.Textbox(label = "Output", lines = 1)], | |
title = "Agentic RAG: Financial Analysis", | |
description = description) | |
demo.launch() |