Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+import librosa
+import numpy as np
+from scipy.io.wavfile import write
+
+def narrate_text(text):
+    narrator = pipeline("text-to-speech", model="kakao-enterprise/vits-ljs")
+    narrated_text = narrator(text)
+    audio_data = narrated_text["audio"][0]
+    sampling_rate = narrated_text["sampling_rate"]
+    audio_data = librosa.resample(audio_data, orig_sr=sampling_rate, target_sr=22050)
+    audio_data = (audio_data * 32767).astype(np.int16)
+    with open("output.wav", "wb") as f:
+        write(f, 22050, audio_data)
+    return "output.wav"
+
+gr.Interface(
+    fn=narrate_text, 
+    inputs=gr.Textbox(label="Enter Text Here",
+                       lines=7), 
+    outputs="audio", 
+    title="Speak Out Loud - Text to Speech Assistant", 
+    description="Upload the text that you want to hear out loud!!!", 
+    article = 
+                        '''<div>
+                            <p style="text-align: center"> All you need to do is to upload your text and hit submit, then wait for compiling. After that click on Play/Pause for listing to the audio. The audio is saved in a wav format.</p>
+                        </div>''',
+).launch()