Update app.py

app.py

@@ -120,7 +120,6 @@ def main(args):
         # favicon_path=LOGO,  # what icon should we display in the address bar?
     )
 
-
 def make_frontend(
     fn: Callable[[Image], str], flagging: bool = False, gantry: bool = False, app_name: str = "fashion-aggregator"
 ):
@@ -128,6 +127,14 @@ def make_frontend(
 
     allow_flagging = "never"
 
+    # HTML code to include the logo and the disclaimer
+    markdown = """
+    <div style='text-align: center;'>
+    <img src='{LOGO}' alt='Logo' style='position: absolute; top: 0; left: 0; width: 100px; height: 100px;' />
+    <p>This web app is for demonstration purposes only and not intended for commercial use.</p>
+    </div>
+    """
+
     # Build a customized browser interface to a Python function
     frontend = gr.Interface(
         fn=fn,
@@ -136,6 +143,7 @@ def make_frontend(
         title="Fashion Aggregator",  
         thumbnail=LOGO,
         description="Discover your perfect apparel effortlessly. Simply describe what you're looking for!",
+        markdown=markdown,
         cache_examples=False,
         allow_flagging=allow_flagging,
         flagging_options=["incorrect", "offensive", "other"],
@@ -143,6 +151,28 @@ def make_frontend(
 
     return frontend
 
+# def make_frontend(
+#     fn: Callable[[Image], str], flagging: bool = False, gantry: bool = False, app_name: str = "fashion-aggregator"
+# ):
+#     """Creates a gradio.Interface frontend for text to image search function."""
+
+#     allow_flagging = "never"
+
+#     # Build a customized browser interface to a Python function
+#     frontend = gr.Interface(
+#         fn=fn,
+#         outputs=gr.Gallery(label="Relevant Items", show_labels=True, label_position="below"),
+#         inputs=gr.inputs.Textbox(label="Item Description", placeholder="Enter item description here"),
+#         title="Fashion Aggregator",  
+#         thumbnail=LOGO,
+#         description="Discover your perfect apparel effortlessly. Simply describe what you're looking for!",
+#         cache_examples=False,
+#         allow_flagging=allow_flagging,
+#         flagging_options=["incorrect", "offensive", "other"],
+#     )
+
+#     return frontend
+
 
 class PredictorBackend:
     """Interface to a backend that serves predictions.