Update app.py

app.py

@@ -1,16 +1,13 @@
 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)
+from gtts import gTTS
+import tempfile
+import os
 
 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")
+    tts = gTTS(text=text, lang='en')
+    _, temp_path = tempfile.mkstemp(suffix=".mp3")
+    tts.save(temp_path)
+    return temp_path
 
 iface = gr.Interface(fn=text_to_speech, inputs="text", outputs="audio")
 iface.launch()