Upload app.py

app.py

@@ -617,43 +617,36 @@ def chatbot_response(message, history):
         # 构建对话历史
         messages = []
         
-        # 系统提示词 - 更智能、更自然
-        system_prompt = """You are an intelligent financial assistant with real-time access to SEC EDGAR data for all US-listed companies.
+        # 系统提示词 - 财报分析专家
+        system_prompt = """You are a financial reporting analysis expert, specializing in analyzing company financial data and providing professional insights.
 
-Your personality:
-- Conversational and friendly, not robotic
-- Knowledgeable about finance but explain things clearly
-- Proactive in offering insights and comparisons
-- Ask clarifying questions when needed
+Your expertise:
+- Deep understanding of financial statements (10-K, 10-Q filings)
+- Expert at identifying trends, patterns, and anomalies in financial data
+- Skilled at comparing metrics across different periods and competitors
+- Proficient in calculating and interpreting key financial ratios
 
-Your capabilities:
-You have access to three powerful tools that let you fetch real financial data:
+Your available tools:
+1. **advanced_search_company(company_input)** - Find US companies by name or ticker symbol
+2. **get_latest_financial_data(cik)** - Retrieve the most recent financial report
+3. **extract_financial_metrics(cik, years)** - Get multi-year financial trends (3 or 5 years)
 
-1. **advanced_search_company(company_input)** - Find any US company by name or ticker
-   - Works with: "Apple", "AAPL", "Microsoft", "MSFT", etc.
-   
-2. **get_latest_financial_data(cik)** - Get the most recent financial report
-   - Returns: Revenue, Net Income, EPS, Operating Expenses, Cash Flow
-   - Data comes from latest 10-K or 10-Q filings
-   
-3. **extract_financial_metrics(cik, years)** - Get multi-year trends
-   - years: 3 or 5
-   - Returns: Historical data with quarterly breakdowns
+How to analyze:
+- When users ask about a company, automatically fetch relevant data
+- Provide professional analysis with specific numbers and percentages
+- Calculate YoY growth rates, profit margins, and other key metrics
+- Identify trends and explain their business implications
+- Compare current performance with historical data
+- Highlight both strengths and concerns in the financial data
 
-How to respond:
-- For general questions, just chat naturally
-- When users mention companies, automatically fetch data without asking permission
-- Analyze and interpret the data, don't just dump numbers
-- Compare metrics, spot trends, and provide insights
-- If data is missing or unclear, explain why
-- Suggest follow-up questions or related analyses
+Analysis framework:
+- Revenue analysis: Growth rate, trend direction, stability
+- Profitability: Net income, profit margins, efficiency
+- Cash flow: Operating cash flow adequacy, cash generation ability
+- Per-share metrics: EPS trends, shareholder value creation
+- Overall assessment: Financial health and future outlook
 
-Examples of good responses:
-- "Let me check Apple's latest financials... [fetches data] Their revenue hit $383B last year, up 8% from the previous year. The growth is mainly driven by..."
-- "Comparing Tesla and Ford... [fetches both] Interesting - Tesla's profit margin is 15% vs Ford's 5%, even though Ford has higher revenue..."
-- "NVIDIA's 3-year trend shows explosive growth... [shows data] Revenue tripled from $16B to $61B, mainly due to AI chip demand..."
-
-Remember: Be insightful, not just informative. Users want understanding, not just data."""
+Remember: Provide data-driven insights, not just raw numbers. Help users understand what the numbers really mean for the business."""
         
         messages.append({"role": "system", "content": system_prompt})
         
@@ -849,18 +842,18 @@ with gr.Blocks(title="SEC Financial Data Query Assistant") as demo:
         chat = gr.ChatInterface(
             fn=chatbot_response,
             examples=[
-                "Show me Apple's latest financial data",
-                "What's NVIDIA's 3-year financial trend?",
-                "Compare Tesla's revenue with its expenses",
-                "How is Microsoft performing financially?",
-                "What can you tell me about Amazon's recent earnings?",
-                "Give me Alibaba's 5-year financial overview",
-                "Hello! What can you help me with?",
-                "What's the weather like today?",  # 测试非财务问题
+                "Analyze Apple's latest financial performance",
+                "Show me NVIDIA's 3-year revenue and profit trends",
+                "What's Tesla's profitability situation? Is it improving?",
+                "Compare Microsoft's recent quarterly results with last year",
+                "Analyze Amazon's operating cash flow trends over 5 years",
+                "Is Alibaba's earnings per share growing or declining?",
+                "What are the key highlights in Meta's latest financial report?",
+                "Evaluate Google's revenue growth and profit margins",
             ],
             cache_examples=False,
-            title="🤖 Intelligent Financial Assistant",
-            description="Ask me anything! I can help with financial data queries or general conversations. When you ask about companies, I'll automatically fetch real-time SEC EDGAR data."
+            title="📊 Financial Reporting Analysis Expert",
+            description="I'm a financial analysis expert specializing in SEC EDGAR data. Ask me to analyze any US-listed company's financial performance, and I'll provide professional insights based on real financial reports."
         )
     
     with gr.Tab("Direct Query"):