Create app.py

app.py

@@ -0,0 +1,35 @@
+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)
+
+# 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']
+
+    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"]
+
+# Launch the Gradio interface
+iface.launch()