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·
c279867
1
Parent(s):
5c2eabd
New style APP - Bloomberg
Browse files
app.py
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import gradio as gr
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from tomlkit import value
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from services.llm_client import llm_service
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from core.analyzer import PortfolioAnalyzer
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from core.comparer import PortfolioComparer
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comparer = PortfolioComparer(llm_service, MODEL_NAME)
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chatbot = ChatAssistant(llm_service, MODEL_NAME)
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# ===
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primary_hue="
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secondary_hue="gray",
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neutral_hue="zinc",
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).set(
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body_background_fill="#
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body_text_color="#
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block_background_fill="#
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button_primary_text_color="
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block_shadow="0 2px 6px rgba(0,0,0,0.
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)
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.gradio-container {
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max-width:
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margin: auto !important;
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font-family: 'Inter', sans-serif;
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}
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h2, h3, .gr-markdown {
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font-weight: 600;
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}
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.gr-button {
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border-radius: 6px !important;
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font-weight: 600 !important;
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letter-spacing: 0.
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}
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""") as demo:
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gr.Markdown("## Investment Portfolio Analyzer")
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gr.Markdown(
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"A
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elem_classes="subtitle",
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)
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label="Portfolio ID or Link",
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placeholder="Enter a portfolio ID (e.g. ea856c1b-...)",
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lines=1,
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value='b1ef37aa-5b9a-41b4-9394-8823f2de36bb'
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)
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analyze_button = gr.Button("Run Analysis", variant="primary")
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analyze_output = gr.Textbox(label="Analysis Result", lines=15)
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metrics_output = gr.Dataframe(label="Portfolio Metrics", wrap=True)
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metrics_button.click(fn=show_metrics_table, inputs=metrics_input, outputs=metrics_output)
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# --- AlphaBTC Chart Tab ---
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with gr.TabItem("AlphaBTC Chart"):
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chart_input = gr.Textbox(label="Portfolio ID", value="3852a354-e66e-4bc5-97e9-55124e31e687")
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chart_button = gr.Button("Generate Chart", variant="primary")
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chart_output = gr.Plot(
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chart_button.click(fn=build_alpha_chart, inputs=chart_input, outputs=chart_output)
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gr.Markdown("---")
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gr.Markdown(
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"<center><small>Developed with Featherless.ai • Powered by OpenAI-compatible API</small></center>",
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elem_classes="footer",
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)
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import gradio as gr
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from services.llm_client import llm_service
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from core.analyzer import PortfolioAnalyzer
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from core.comparer import PortfolioComparer
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comparer = PortfolioComparer(llm_service, MODEL_NAME)
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chatbot = ChatAssistant(llm_service, MODEL_NAME)
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# === Bloomberg-style dark theme ===
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dark_theme = gr.themes.Base(
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primary_hue="violet",
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secondary_hue="gray",
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neutral_hue="zinc",
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).set(
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body_background_fill="#0d1117", # main background (dark navy)
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body_text_color="#e6edf3", # main text
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block_background_fill="#161b22", # card background
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block_border_color="#30363d", # subtle border
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button_primary_background_fill="#4f46e5",# indigo-violet accent
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button_primary_background_fill_hover="#6366f1",
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button_primary_text_color="#ffffff",
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input_background_fill="#0d1117",
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block_shadow="0 2px 6px rgba(0,0,0,0.3)",
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block_label_text_color="#9da5b4",
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block_label_text_size="sm",
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)
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with gr.Blocks(theme=dark_theme, css="""
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/* === Bloomberg / Dark Finance Style === */
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.gradio-container {
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max-width: 1000px !important;
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margin: auto !important;
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font-family: 'Inter', sans-serif;
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background-color: #0d1117 !important;
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}
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h2, h3, .gr-markdown {
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font-weight: 600;
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color: #f0f6fc !important;
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}
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.gr-button {
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border-radius: 6px !important;
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font-weight: 600 !important;
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letter-spacing: 0.3px;
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box-shadow: 0 2px 4px rgba(0,0,0,0.25);
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}
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.gr-textbox, .gr-dataframe {
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border-radius: 6px !important;
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}
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.gr-button.primary {
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background: linear-gradient(90deg, #6366f1, #4f46e5);
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border: none !important;
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}
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.gr-tab {
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background-color: #161b22 !important;
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color: #c9d1d9 !important;
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}
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.gr-tabs {
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border-bottom: 1px solid #30363d !important;
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}
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.gr-plot {
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background: #0d1117 !important;
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}
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/* Fix Gradio plot overlay */
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#alpha_chart svg {
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display: none !important;
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}
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#alpha_chart .wrap {
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background: transparent !important;
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box-shadow: none !important;
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}
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""") as demo:
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gr.Markdown("## Investment Portfolio Analyzer")
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gr.Markdown(
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"A professional dashboard for analyzing and comparing investment portfolios using AI insights.",
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elem_classes="subtitle",
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)
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label="Portfolio ID or Link",
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placeholder="Enter a portfolio ID (e.g. ea856c1b-...)",
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lines=1,
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value='b1ef37aa-5b9a-41b4-9394-8823f2de36bb',
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)
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analyze_button = gr.Button("Run Analysis", variant="primary")
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analyze_output = gr.Textbox(label="Analysis Result", lines=15)
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metrics_output = gr.Dataframe(label="Portfolio Metrics", wrap=True)
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metrics_button.click(fn=show_metrics_table, inputs=metrics_input, outputs=metrics_output)
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# --- AlphaBTC Chart Tab (fixed overlay) ---
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with gr.TabItem("AlphaBTC Chart"):
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chart_input = gr.Textbox(label="Portfolio ID", value="3852a354-e66e-4bc5-97e9-55124e31e687")
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chart_button = gr.Button("Generate Chart", variant="primary")
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chart_output = gr.Plot(
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label="Alpha vs BTC",
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show_label=False,
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elem_id="alpha_chart",
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)
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chart_button.click(fn=build_alpha_chart, inputs=chart_input, outputs=chart_output)
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gr.Markdown("---")
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gr.Markdown(
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"<center><small style='color:#6e7681;'>Developed with Featherless.ai • Powered by OpenAI-compatible API</small></center>",
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elem_classes="footer",
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)
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