Add file

app.py

@@ -40,7 +40,7 @@ def audio_search(audio_tuple):
     return pd.DataFrame(rows)[["path", "audio", "sentence", "distance"]].sort_values(by="distance", ascending=True)
 
 
-demo = gr.Interface(
+iface = gr.Interface(
     fn=audio_search,
     inputs=gr.Audio(
         label="Record or upload a clip of your voice", sources=["microphone", "upload"]
@@ -50,4 +50,28 @@ demo = gr.Interface(
         datatype=["str", "html", "str", "number"],
     ),
 )
-demo.launch()
+with gr.Blocks() as demo:
+    gr.HTML(
+        f"""
+                <h1 style='text-align: center'>
+                <img src="/gradio_api/file=logo.svg" alt="Voice Match" style="width: 95px; height: 30px;"> <br> Voice Match
+                </h1>
+                """
+                )
+    gr.HTML(
+        f"""
+                <h2 style='text-align: center'>
+                Powered by <a href="https://huggingface.co/rimelabs/rimecaster">RimeCaster</a>
+                </h2>
+                """
+                )           
+    gr.Markdown(
+        f"""
+        <div style='text-align: center'>
+        Record or upload an English clip of your voice and we'll find the most similar voices in the <a href="https://huggingface.co/datasets/mozilla-foundation/common_voice_17_0">Common Voice dataset</a>.
+        </div>
+        """
+    )
+    iface.render()
+
+demo.launch(allowed_paths=["logo.svg"])