Upload 2 files

app.py

@@ -1,4 +1,5 @@
 # -*- coding: utf-8 -*-
+from __future__ import annotations
 """
 OpenResearcher DeepSearch Agent - Hugging Face Space
 Uses ZeroGPU for efficient inference with the Nemotron model
@@ -2351,6 +2352,8 @@ def create_interface():
 
         logo_base64 = image_to_base64(logo_path)
         title_base64 = image_to_base64(title_path)
+        lambda_path = os.path.join(script_dir, "lambda.png")
+        lambda_base64 = image_to_base64(lambda_path)
 
         # Build header HTML with base64 images
         header_html = f"""
@@ -2512,6 +2515,27 @@ def create_interface():
                     stop_btn = gr.Button("⏹ Stop", variant="stop", scale=1)
                     clear_btn = gr.Button("🗑 Clear", scale=1)
 
+                # Lambda sponsor banner
+                _lambda_img_tag = f'<img src="{lambda_base64}" alt="Lambda" style="height:22px; vertical-align:middle; margin-right:4px;">' if lambda_base64 else '<span style="font-weight:bold;">λ</span>'
+                gr.HTML(f"""
+                <div style="
+                    display: flex;
+                    align-items: center;
+                    justify-content: center;
+                    gap: 6px;
+                    margin-top: 8px;
+                    font-size: 13px;
+                    color: #6b7280;
+                ">
+                    <span>LLM Service Deployed on</span>
+                    <a href="https://lambda.ai/" target="_blank" rel="noopener noreferrer"
+                       style="display:inline-flex; align-items:center; gap:4px; color:inherit; text-decoration:none;">
+                        <span style="font-weight:600; color:#111827;">Lambda .Inc</span>
+                        {_lambda_img_tag}
+                    </a>
+                </div>
+                """)
+
         # Function to hide welcome and show output
         async def start_research(question, serper_key, max_rounds):
             # Generator that first hides welcome, then streams results