Upload 3 files

app.py

@@ -101,11 +101,11 @@ def query_financial_data(company_name, query_type):
             
             for m in all_data:
                 period = m.get('period', 'N/A')
-                rev = m.get('total_revenue', 0) / 1e9
-                inc = m.get('net_income', 0) / 1e9
-                eps = m.get('earnings_per_share', 0)
-                opex = m.get('operating_expenses', 0) / 1e9
-                ocf = m.get('operating_cash_flow', 0) / 1e9
+                rev = (m.get('total_revenue') or 0) / 1e9
+                inc = (m.get('net_income') or 0) / 1e9
+                eps = m.get('earnings_per_share') or 0
+                opex = (m.get('operating_expenses') or 0) / 1e9
+                ocf = (m.get('operating_cash_flow') or 0) / 1e9
                 source = m.get('source_form', 'N/A')
                 # 区分年度和季度
                 period_prefix = "FY" if 'Q' not in period else ""
@@ -139,11 +139,11 @@ def query_financial_data(company_name, query_type):
             
             for m in all_data:
                 period = m.get('period', 'N/A')
-                rev = m.get('total_revenue', 0) / 1e9
-                inc = m.get('net_income', 0) / 1e9
-                eps = m.get('earnings_per_share', 0)
-                opex = m.get('operating_expenses', 0) / 1e9
-                ocf = m.get('operating_cash_flow', 0) / 1e9
+                rev = (m.get('total_revenue') or 0) / 1e9
+                inc = (m.get('net_income') or 0) / 1e9
+                eps = m.get('earnings_per_share') or 0
+                opex = (m.get('operating_expenses') or 0) / 1e9
+                ocf = (m.get('operating_cash_flow') or 0) / 1e9
                 source = m.get('source_form', 'N/A')
                 # 区分年度和季度
                 period_prefix = "FY" if 'Q' not in period else ""
@@ -165,7 +165,7 @@ with gr.Blocks(title="SEC Financial Data Query Assistant") as demo:
     with gr.Row():
         company_input = gr.Textbox(
             label="公司名称或股票代码",
-            placeholder="例如: NVIDIA, Apple, TSMC, AAPL",
+            placeholder="例如: NVIDIA, Apple, Alibaba, AAPL",
             scale=2
         )
         query_type = gr.Radio(
@@ -184,7 +184,7 @@ with gr.Blocks(title="SEC Financial Data Query Assistant") as demo:
             ["NVIDIA", "最新财务数据"],
             ["Apple", "3年趋势"],
             ["Microsoft", "5年趋势"],
-            ["TSMC", "最新财务数据"],
+            ["Alibaba", "最新财务数据"],
             ["Tesla", "3年趋势"]
         ],
         inputs=[company_input, query_type],