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Running
update app.py
Browse files
app.py
CHANGED
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@@ -214,75 +214,40 @@ crypto_analysis_crew = Crew(
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# ----------------------
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def generate_report(crypto_name, currency, days):
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crypto_inputs = {
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"cryptocurrency_selection": crypto_name.lower(),
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"currency_selection": currency.lower(),
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"days_selection": int(days),
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}
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result = crypto_analysis_crew.kickoff(inputs=crypto_inputs)
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#
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if isinstance(result, dict) and "final_output" in result:
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# ----------------------
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# GRADIO APP
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# ----------------------
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with gr.Blocks(theme=gr.themes.Monochrome()) as app:
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gr.HTML("""
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<style>
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#run-btn .rocket{
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display: inline-block;
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transition: transform 0.2s ease;
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}
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#run-btn.loading .rocket {
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animation: spin 1s linear infinite;
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}
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@keyframes spin {
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from { transform: rotate(0deg); }
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to { transform: rotate(360deg); }
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}
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</style>
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""")
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# ---- Spinning Rocket JS ----
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gr.HTML("""
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<script>
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function setLoadingState(isLoading) {
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const btn = document.getElementById("run-btn");
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if (!btn) return;
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if (isLoading) {
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btn.classList.add("loading");
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btn.disabled = true;
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} else {
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btn.classList.remove("loading");
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btn.disabled = false;
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}
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}
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window.addEventListener("DOMContentLoaded", () => {
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const btn = document.getElementById("run-btn");
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if (!btn) return;
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btn.addEventListener("click", () => {
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setLoadingState(true);
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});
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// Detect when output changes β stop spinning
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const observer = new MutationObserver(() => {
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setLoadingState(false);
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});
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observer.observe(document.body, { childList: true, subtree: true });
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});
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</script>
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""")
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gr.Markdown("# πͺ Crypto Intelligence Dashboard")
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gr.Markdown("Run a full multi-agent crypto analysis using structured JSON tools.")
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@@ -293,30 +258,16 @@ with gr.Blocks(theme=gr.themes.Monochrome()) as app:
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placeholder="Type cryptocurrency name...",
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value="bitcoin"
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)
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currency = gr.Dropdown(
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label="Currency",
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value="usd"
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)
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days = gr.Slider(
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minimum=30, maximum=730, value=365, step=15,
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label="Historical Lookback (days)"
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)
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run_button = gr.Button(
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value='<span class="rocket">π</span> Run Full Analysis',
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variant="primary",
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elem_id="run-btn",
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)
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report_output = gr.Markdown(label="π Intelligence Report")
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run_button.click(
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generate_report,
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inputs=[crypto, currency, days],
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outputs=report_output
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show_progress=True
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)
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if __name__ == "__main__":
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app.launch(server_name="0.0.0.0", server_port=7860)
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# ----------------------
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def generate_report(crypto_name, currency, days):
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# Yield 0% progress
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yield "β³ Starting analysis...", None
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crypto_inputs = {
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"cryptocurrency_selection": crypto_name.lower(),
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"currency_selection": currency.lower(),
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"days_selection": int(days),
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}
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# Gradio will animate the progress bar automatically
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for step, update_text in enumerate([
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"Fetching market data...",
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"Fetching historical data...",
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"Fetching sentiment...",
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"Running analytics...",
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"Generating trading strategy...",
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"Producing final market report..."
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], start=1):
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yield f"π {update_text}", None
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# Run CrewAI (blocking)
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result = crypto_analysis_crew.kickoff(inputs=crypto_inputs)
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# Final message
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if isinstance(result, dict) and "final_output" in result:
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yield "β
Analysis complete!", result["final_output"]
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else:
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yield "β οΈ Finished with raw output", str(result)
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# ----------------------
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# GRADIO APP
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# ----------------------
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with gr.Blocks(theme=gr.themes.Monochrome()) as app:
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gr.Markdown("# πͺ Crypto Intelligence Dashboard")
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gr.Markdown("Run a full multi-agent crypto analysis using structured JSON tools.")
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placeholder="Type cryptocurrency name...",
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value="bitcoin"
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)
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currency = gr.Dropdown(["usd", "eur", "gbp"], label="Currency", value="usd")
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days = gr.Slider(30, 730, value=365, step=15, label="Historical Lookback (days)")
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run_button = gr.Button("π Run Full Analysis", variant="primary")
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progress_message = gr.Markdown()
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report_output = gr.Markdown(label="π Intelligence Report")
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run_button.click(
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generate_report,
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inputs=[crypto, currency, days],
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outputs=[progress_message, report_output]
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)
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