gradio-lite-text-to-speech

Running

whitphx HF staff commited on Oct 29, 2023

Commit

87b7198

1 Parent(s): 4223dc1

Update index.html

Files changed (1) hide show

index.html CHANGED Viewed

@@ -1,19 +1,33 @@
-<!DOCTYPE html>
 <html>
-	<head>
-		<meta charset="utf-8" />
-		<meta name="viewport" content="width=device-width" />
-		<title>My static Space</title>
-		<link rel="stylesheet" href="style.css" />
-	</head>
-	<body>
-		<div class="card">
-			<h1>Welcome to your static Space!</h1>
-			<p>You can modify this app directly by editing <i>index.html</i> in the Files and versions tab.</p>
-			<p>
-				Also don't forget to check the
-				<a href="https://huggingface.co/docs/hub/spaces" target="_blank">Spaces documentation</a>.
-			</p>
-		</div>
-	</body>
 </html>

 <html>
+    <head>
+        <script type="module" crossorigin src="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.js"></script>
+        <link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/@gradio/lite/dist/lite.css" />
+    </head>
+    <body>
+<gradio-lite>
+<gradio-requirements>
+transformers_js_py
+</gradio-requirements>
+<gradio-file name="app.py" entrypoint>
+from transformers_js import import_transformers_js
+import gradio as gr
+speaker_embeddings = 'https://huggingface.co/datasets/Xenova/transformers.js-docs/resolve/main/speaker_embeddings.bin';
+transformers = await import_transformers_js()
+pipeline = transformers.pipeline
+synthesizer = await pipeline('text-to-speech', 'Xenova/speecht5_tts', { "quantized": False })
+async def classify(text):
+    return await synthesizer(text, { "speaker_embeddings": speaker_embeddings });
+demo = gr.Interface(classify, "textbox", "audio")
+demo.launch()
+</gradio-file>
+</gradio-lite>
+    </body>
 </html>