Update app.py

app.py

@@ -1,30 +1,24 @@
-# Install the necessary libraries
-# !pip install gtts gradio
+# Install transformers if not installed
+# !pip install transformers gradio
 
-from gtts import gTTS
+from transformers import pipeline
 import gradio as gr
 
-# Function to convert text to audio
-def text_to_audio(mytext):
-    # Create a gTTS object with Bulgarian language
-    tts = gTTS(text=mytext, lang='bg')
-    # Save the audio file
-    filename = "output.mp3"
-    tts.save(filename)
-    return filename
+# Load a pre-trained TTS pipeline
+tts_pipeline = pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
 
-# Gradio interface
-def gradio_interface(text):
-    audio_file = text_to_audio(text)
-    return audio_file
+# Function to convert text to audio using the Hugging Face TTS model
+def text_to_audio(mytext):
+    audio = tts_pipeline(mytext)  # Generate audio
+    return audio["filename"]  # Return the filename of the generated audio
 
 # Create a Gradio interface
 iface = gr.Interface(
-    fn=gradio_interface,
+    fn=text_to_audio,
     inputs=gr.Textbox(lines=2, placeholder="Enter text here..."),
-    outputs=gr.Audio(type="file"),  # Changed to 'file'
-    title="Text to Speech Application (Bulgarian audio)",
-    description="Type your text and to generate the corresponding audio in Bulgarian."
+    outputs=gr.Audio(type="file"),  # Gradio expects a file for audio output
+    title="Text to Speech Application",
+    description="Type your text and generate the corresponding audio."
 )
 
 # Launch the interface