eaglelandsonce commited on
Commit
02144c3
1 Parent(s): 9b457a9

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +6 -3
app.py CHANGED
@@ -173,6 +173,8 @@ These tailored portfolios offer a range of investment strategies to suit differe
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  # LangChain function for company analysis
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  def company_analysis(api_key: str, company_name: str) -> dict:
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  os.environ['OPENAI_API_KEY'] = api_key # Set the OpenAI API key as an environment variable
@@ -698,9 +700,8 @@ with gr.Blocks() as demo:
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  outputs=[fig_cum_returns_optimized, weights_df, fig_efficient_frontier, fig_corr, \
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  expected_annual_return, annual_volatility, sharpe_ratio, fig_indiv_prices, fig_cum_returns])
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-
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- with gr.Tab("Step 3: Financial Outlook"):
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  gr.HTML(STEP2_TITLE)
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  run_button_crewai = gr.Button(value="Run", variant="primary", scale=1)
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  run_button_crewai.click(
@@ -709,7 +710,9 @@ with gr.Blocks() as demo:
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  outputs=gr.Textbox(label="Portfolio Analysis")
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  )
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  with gr.Tab("Company Analysis"):
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  gr.HTML(TITLE1)
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  run_button_analysis.click(
@@ -780,7 +783,7 @@ with gr.Blocks() as demo:
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  gr.Image(value = "resources/holder.png")
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  with gr.Column(scale=1):
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  gr.Image(value = "resources/holder.png")
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-
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  demo.queue(max_size=99).launch(debug=False, show_error=True)
 
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  # LangChain function for company analysis
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+ # For furture upgrade
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+
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  def company_analysis(api_key: str, company_name: str) -> dict:
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  os.environ['OPENAI_API_KEY'] = api_key # Set the OpenAI API key as an environment variable
 
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  outputs=[fig_cum_returns_optimized, weights_df, fig_efficient_frontier, fig_corr, \
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  expected_annual_return, annual_volatility, sharpe_ratio, fig_indiv_prices, fig_cum_returns])
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+ with gr.Tab("Step 3: Portfolio Analysis"):
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  gr.HTML(STEP2_TITLE)
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  run_button_crewai = gr.Button(value="Run", variant="primary", scale=1)
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  run_button_crewai.click(
 
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  outputs=gr.Textbox(label="Portfolio Analysis")
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  )
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+ # For future upgrade
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+ '''
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  with gr.Tab("Company Analysis"):
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  gr.HTML(TITLE1)
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  run_button_analysis.click(
 
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  gr.Image(value = "resources/holder.png")
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  with gr.Column(scale=1):
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  gr.Image(value = "resources/holder.png")
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+ '''
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  demo.queue(max_size=99).launch(debug=False, show_error=True)