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add educational purposes only legend
Browse files
app.py
CHANGED
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@@ -41,15 +41,38 @@ def build_demo() -> gr.Blocks:
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font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, sans-serif !important;
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box-sizing: border-box !important;
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}
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"""
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with gr.Blocks(theme=gr.themes.Base(), title="Financial Agent", css=custom_css) as demo:
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gr.Markdown(
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"""
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# Financial Agent
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Uses **LLaMA 3.3 70B** via NVIDIA NIM (OpenAI-compatible API).
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Ask for stock prices, company profiles, and more! The agent can use tools to fetch real-time data and provide accurate responses.
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"""
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)
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with gr.Row():
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@@ -98,6 +121,7 @@ def build_demo() -> gr.Blocks:
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| Build a low-risk portfolio | "Create a minimum variance portfolio with Microsoft, Google, and Amazon" |
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| Maximize return for the risk taken | "Give me the best risk-return portfolio using Apple, Nvidia, and Meta" |
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| Reduce downside risk compared to the S&P500 | "Build a portfolio that minimizes losses relative to the S&P500 using these 5 stocks" |
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| Check Mexican CETES rates | "What's the 28-day CETES rate today?" |
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| Know monthly inflation in Mexico | "What was Mexico's monthly inflation last month?" |
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| Know annual inflation in Mexico | "What's the current annual inflation rate in Mexico?" |
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@@ -111,6 +135,22 @@ def build_demo() -> gr.Blocks:
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"""
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return demo
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font-family: 'Inter', -apple-system, BlinkMacSystemFont, 'Segoe UI', Helvetica, sans-serif !important;
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box-sizing: border-box !important;
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}
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/* ========== TITLE ========== */
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#app-title {
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background: transparent !important;
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border: none !important;
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padding: 8px 0 !important;
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}
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/* ========== DISCLAIMER BANNER ========== */
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#disclaimer-banner {
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background-color: #3F3F46 !important;
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border: 2px solid #FF2717 !important;
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border-left: 6px solid #FEA12D !important;
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border-radius: 8px !important;
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padding: 16px 20px !important;
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margin-bottom: 12px !important;
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}
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#disclaimer-banner p {
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margin: 2px 0 !important;
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color: #E4E4E7 !important;
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}
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"""
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with gr.Blocks(theme=gr.themes.Base(), title="Financial Agent", css=custom_css) as demo:
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gr.Markdown(
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"""
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# Financial Agent
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Uses **LLaMA 3.3 70B** via NVIDIA NIM (OpenAI-compatible API).
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Ask for stock prices, company profiles, and more! The agent can use tools to fetch real-time data and provide accurate responses.
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""",
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elem_id="app-title",
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)
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with gr.Row():
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| Build a low-risk portfolio | "Create a minimum variance portfolio with Microsoft, Google, and Amazon" |
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| Maximize return for the risk taken | "Give me the best risk-return portfolio using Apple, Nvidia, and Meta" |
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| Reduce downside risk compared to the S&P500 | "Build a portfolio that minimizes losses relative to the S&P500 using these 5 stocks" |
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| Find economic data from the US (FRED) | "What was the unemployment rate in December 2024?" |
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| Check Mexican CETES rates | "What's the 28-day CETES rate today?" |
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| Know monthly inflation in Mexico | "What was Mexico's monthly inflation last month?" |
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| Know annual inflation in Mexico | "What's the current annual inflation rate in Mexico?" |
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"""
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)
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gr.Markdown(
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"""
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⚠️ **EDUCATIONAL PURPOSES ONLY — NOT FINANCIAL ADVICE**
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This agent is a student project built for a Deep Learning course. It is **not** a licensed financial advisor,
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broker, or investment service. All outputs — including stock prices, portfolio suggestions, economic indicators,
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and any other financial data — are provided **strictly for educational and demonstration purposes**.
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**Do not use this tool to make real investment, trading, or financial decisions.**
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The information may be inaccurate, delayed, or incomplete. Always consult a qualified financial professional
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before making any investment decision. The authors assume no liability for any actions taken based on
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the outputs of this agent.
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""",
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elem_id="disclaimer-banner",
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)
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return demo
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