Create app.py

app.py

@@ -0,0 +1,16 @@
+import gradio as gr
+from transformers import Text2SpeechForConditionalGeneration, Text2SpeechTokenizer
+
+# Load TTS model and tokenizer
+model_name = "facebook/wav2vec2-base-960h"
+tts_model = Text2SpeechForConditionalGeneration.from_pretrained(model_name)
+tokenizer = Text2SpeechTokenizer.from_pretrained(model_name)
+
+def text_to_speech(text):
+    inputs = tokenizer(text, return_tensors="pt", clean_up_tokenization_spaces=True)
+    with gr.Output() as out:
+        speech = tts_model.generate(**inputs)
+        gr.Audio(speech[0].numpy(), type="audio/wav")
+
+iface = gr.Interface(fn=text_to_speech, inputs="text", outputs="audio")
+iface.launch()