Create app.py

app.py

@@ -0,0 +1,40 @@
+import pandas as pd
+import gradio as gr
+
+csv_link = "https://huggingface.co/datasets/jerpint/vox-cloned-data/resolve/main/metadata.csv?download=true"
+models = ["commonvoice", "xttsv2", "stylettsv2", "elevenlabs", "playht"]
+
+
+def audio_markdown(x, model: str):
+
+    link = f"https://huggingface.co/datasets/jerpint/vox-cloned-data/resolve/main/{model}/{x.path}?download=true"
+
+    audio_md = f"""<audio controls>
+      <source src="{link}" type="audio/mpeg">
+      Your browser does not support the audio element.
+  </audio>"""
+
+    return audio_md
+
+
+df = pd.read_csv(csv_link)
+
+for model in models:
+    df[model] = df.apply(lambda x: audio_markdown(x, model), axis=1)
+
+
+with gr.Blocks() as demo:
+    gr.Dataframe(
+        value=df[
+            [
+                *models,
+                "path",
+                "gender",
+                "accents",
+            ]
+        ],
+        datatype="markdown",
+        row_count=10,
+    )
+
+demo.launch()