d2fbc0ceea
* fix dependencies uv.lock * refactor test markers for clarity * refactor: clean up imports and remove unused files * refactor: remove unused agent files and clean up market API instructions * refactor: enhance wrapper initialization with keyword arguments and clean up tests * refactor: remove PublicBinanceAgent * refactor: aggregator - simplified MarketDataAggregator and related models to functions * refactor: update README and .env.example to reflect the latest changes to the project * refactor: simplify product info and price creation in YFinanceWrapper * refactor: remove get_all_products method from market API wrappers and update documentation * fix: environment variable assertions * refactor: remove status attribute from ProductInfo and update related methods to use timestamp_ms * feat: implement aggregate_history_prices function to calculate hourly price averages * refactor: update docker-compose and app.py for improved environment variable handling and compatibility * feat: add detailed market instructions and improve error handling in price aggregation methods * feat: add aggregated news retrieval methods for top headlines and latest news * refactor: improve error messages in WrapperHandler for better clarity * fix: correct quote currency extraction in create_product_info and remove debug prints from tests
49 lines
1.7 KiB
Python
49 lines
1.7 KiB
Python
import gradio as gr
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from dotenv import load_dotenv
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from app.pipeline import Pipeline
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from agno.utils.log import log_info
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########################################
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# MAIN APP & GRADIO INTERFACE
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########################################
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if __name__ == "__main__":
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######################################
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# DA FARE PRIMA DI ESEGUIRE L'APP
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# qui carichiamo le variabili d'ambiente dal file .env
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# una volta fatto, possiamo usare le API keys senza problemi
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# quindi non è necessario richiamare load_dotenv() altrove
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load_dotenv()
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######################################
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pipeline = Pipeline()
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with gr.Blocks() as demo:
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gr.Markdown("# 🤖 Agente di Analisi e Consulenza Crypto")
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with gr.Row():
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provider = gr.Dropdown(
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choices=pipeline.list_providers(),
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type="index",
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label="Modello da usare"
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)
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provider.change(fn=pipeline.choose_provider, inputs=provider, outputs=None)
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style = gr.Dropdown(
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choices=pipeline.list_styles(),
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type="index",
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label="Stile di investimento"
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)
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style.change(fn=pipeline.choose_style, inputs=style, outputs=None)
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user_input = gr.Textbox(label="Richiesta utente")
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output = gr.Textbox(label="Risultato analisi", lines=12)
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analyze_btn = gr.Button("🔎 Analizza")
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analyze_btn.click(fn=pipeline.interact, inputs=[user_input], outputs=output)
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server, port = ("0.0.0.0", 8000) # 0.0.0.0 per docker compatibility
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server_log = "localhost" if server == "0.0.0.0" else server
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log_info(f"Starting UPO AppAI on http://{server_log}:{port}")
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demo.launch(server_name=server, server_port=port, quiet=True)
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