Update app.py

app.py

@@ -1,35 +1,20 @@
 import gradio as gr
 from transformers import pipeline
 
-# Load the text-to-speech pipeline from Hugging Face Spaces
-nlp = pipeline("tts", model="facebook/tts", device=0)
+# Load the text-to-speech pipeline from Hugging Face
+pipe = pipeline("text2speech", model="suno/bark-small")
 
 # Define the Gradio interface
-def text_to_speech(text, voice):
-    # Select the appropriate voice model based on the user's choice
-    if voice == 'English (US)':
-        voice_model = "facebook/tts-yinipar"
-    elif voice == 'English (UK)':
-        voice_model = "facebook/tts-russell"
-    elif voice == 'French':
-        voice_model = "facebook/wav2vec2-large-xlsr-53-french"
-    elif voice == 'German':
-        voice_model = "facebook/wav2vec2-large-xlsr-53-german"
-    else:
-        voice_model = "facebook/tts-hifigan"
-
-    # Generate speech from the input text using the selected voice model
-    speech = nlp(text, model=voice_model)[0]['audio']
+def text_to_speech(text):
+    # Generate speech from the input text using the loaded pipeline
+    speech = pipe(text)[0]["speech"]
 
     return speech
 
 # Create the Gradio interface
-iface = gr.Interface(fn=text_to_speech, inputs=["text", "dropdown"], 
-                     outputs="audio", title="Text-to-Speech App",
-                     description="Select a text and a voice to hear the speech")
-
-# Add voice options to the dropdown input
-iface.inputs[1].choices = ["English (US)", "English (UK)", "French", "German"]
+iface = gr.Interface(fn=text_to_speech, inputs="text", outputs="audio", 
+                     title="Text-to-Speech App", 
+                     description="Enter text to hear the speech")
 
 # Launch the Gradio interface
 iface.launch()