Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+import time
+from transformers import pipeline
+
+def tts_inference(text, model_name):
+    model = {"reference": model_name}
+    pipe = pipeline("text-to-speech", model=model['reference'])
+    print('Processing...')
+    t = time.time()
+    output = pipe(text)
+    t = time.time() - t
+    print(f"Took {round(t)} seconds")
+    return (output["audio"], output["sampling_rate"])
+
+# List of available TTS models
+available_models = [
+    "microsoft/speecht5_tts",
+    "facebook/mms-tts-eng",
+    "suno/bark"
+]
+
+gr.Interface(
+    fn=tts_inference,
+    inputs=[
+        gr.Textbox(label="Enter text", placeholder="Type something to convert to speech..."),
+        gr.Dropdown(available_models, label="Select Model")
+    ],
+    outputs=gr.Audio(type="numpy", label="Generated Speech"),
+    title="Hugging Face TTS Space",
+    description="Enter text and generate speech using Hugging Face's text-to-speech models."
+).launch()