Upload 2 files

app.py

@@ -43,7 +43,7 @@ try:
     
     if hf_token:
         client = InferenceClient(api_key=hf_token)
-        print(f"✅ Hugging Face client initialized with Qwen/Qwen2.5-72B-Instruct model")
+        print(f"✅ Hugging Face client initialized with Qwen/Qwen2.5-72B-Instruct:novita model")
         print(f"   Using authenticated access (HF_TOKEN detected)")
     else:
         # 如果没有 token，使用无认证模式（免费层，有速率限制）
@@ -682,7 +682,7 @@ You can handle any financial question - from simple data queries to complex mult
                 
                 response = client.chat_completion(
                     messages=messages,
-                    model="Qwen/Qwen2.5-72B-Instruct",  # 支持 tool calling
+                    model="Qwen/Qwen2.5-72B-Instruct:novita",  # 使用 novita provider，更稳定
                     tools=MCP_TOOLS,
                     max_tokens=3000,
                     temperature=0.7,
@@ -748,7 +748,7 @@ You can handle any financial question - from simple data queries to complex mult
                     try:
                         response = client.chat_completion(
                             messages=messages,
-                            model="Qwen/Qwen2.5-72B-Instruct",
+                            model="Qwen/Qwen2.5-72B-Instruct:novita",
                             max_tokens=3000,
                             temperature=0.7
                         )
@@ -763,7 +763,7 @@ You can handle any financial question - from simple data queries to complex mult
         final_response = ""
         
         # 显示调试信息：使用的模型
-        final_response += f"<div style='padding: 8px; background: #e3f2fd; border-left: 3px solid #2196f3; margin-bottom: 10px; font-size: 0.9em;'>🤖 <strong>Model:</strong> Qwen/Qwen2.5-72B-Instruct | <strong>Iterations:</strong> {iteration}</div>\n\n"
+        final_response += f"<div style='padding: 8px; background: #e3f2fd; border-left: 3px solid #2196f3; margin-bottom: 10px; font-size: 0.9em;'>🤖 <strong>Model:</strong> Qwen/Qwen2.5-72B-Instruct:novita | <strong>Iterations:</strong> {iteration}</div>\n\n"
         
         # 如果有工具调用，显示调用日志
         if tool_calls_log:
@@ -847,7 +847,7 @@ with gr.Blocks(title="SEC Financial Data Query Assistant") as demo:
     # 显示 AI 功能说明
     gr.Markdown("""
     <div style='padding: 15px; background: #d4edda; border-left: 4px solid #28a745; margin: 10px 0; border-radius: 4px;'>
-        <strong>✅ AI Assistant Enabled:</strong> Powered by Qwen/Qwen2.5-72B-Instruct model with automatic MCP tool calling.
+        <strong>✅ AI Assistant Enabled:</strong> Powered by Qwen/Qwen2.5-72B-Instruct:novita with automatic MCP tool calling.
         <br>
         <strong>💬 Ask me anything:</strong> I can understand natural language and automatically fetch financial data when needed!
     </div>