import gradio as gr from agno.utils.log import log_info from dotenv import load_dotenv from app.chat_manager import ChatManager ######################################## # MAIN APP & GRADIO CHAT INTERFACE ######################################## if __name__ == "__main__": # Carica variabili d’ambiente (.env) load_dotenv() # Inizializza ChatManager chat = ChatManager() ######################################## # Funzioni Gradio ######################################## def respond(message, history): response = chat.send_message(message) history.append({"role": "user", "content": message}) history.append({"role": "assistant", "content": response}) return history, history def save_current_chat(): chat.save_chat("chat.json") return "💾 Chat salvata in chat.json" def load_previous_chat(): chat.load_chat("chat.json") history = [] for m in chat.get_history(): history.append({"role": m["role"], "content": m["content"]}) return history, history def reset_chat(): chat.reset_chat() return [], [] ######################################## # Interfaccia Gradio ######################################## with gr.Blocks() as demo: gr.Markdown("# 🤖 Agente di Analisi e Consulenza Crypto (Chat)") # Dropdown provider e stile with gr.Row(): provider = gr.Dropdown( choices=chat.list_providers(), type="index", label="Modello da usare" ) provider.change(fn=chat.choose_provider, inputs=provider, outputs=None) style = gr.Dropdown( choices=chat.list_styles(), type="index", label="Stile di investimento" ) style.change(fn=chat.choose_style, inputs=style, outputs=None) chatbot = gr.Chatbot(label="Conversazione", height=500, type="messages") msg = gr.Textbox(label="Scrivi la tua richiesta", placeholder="Es: Quali sono le crypto interessanti oggi?") with gr.Row(): clear_btn = gr.Button("🗑️ Reset Chat") save_btn = gr.Button("💾 Salva Chat") load_btn = gr.Button("📂 Carica Chat") # Invio messaggio msg.submit(respond, inputs=[msg, chatbot], outputs=[chatbot, chatbot]) # Reset clear_btn.click(reset_chat, inputs=None, outputs=[chatbot, chatbot]) # Salvataggio save_btn.click(save_current_chat, inputs=None, outputs=None) # Caricamento load_btn.click(load_previous_chat, inputs=None, outputs=[chatbot, chatbot]) server, port = ("127.0.0.1", 8000) log_info(f"Starting UPO AppAI Chat on http://{server}:{port}") demo.launch(server_name=server, server_port=port, quiet=True)