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| import gradio as gr | |
| import requests | |
| WEBHOOK_URL = "https://lorenzobalestra.app.n8n.cloud/webhook/ai-analyst" | |
| def ask_analyst(question): | |
| if not question.strip(): | |
| return "Please enter a question.", None | |
| try: | |
| response = requests.post(WEBHOOK_URL, json={"question": question}) | |
| data = response.json() | |
| answer = data.get("answer", "No answer received.") | |
| chart = data.get("chart", "none") | |
| chart_info = f"\n\nπ Suggested chart: **{chart}**" if chart != "none" else "" | |
| return answer + chart_info | |
| except Exception as e: | |
| return f"Error: {str(e)}" | |
| demo = gr.Interface( | |
| fn=ask_analyst, | |
| inputs=gr.Textbox(label="Ask a question about book sales", placeholder="e.g. What are the top selling books?"), | |
| outputs=gr.Markdown(label="Answer"), | |
| title="π Book Sales Analyst", | |
| description="Ask questions about the book sales dataset powered by AI.", | |
| ) | |
| demo.launch() |