Add application file

app.py

@@ -0,0 +1,43 @@
+import json
+import os
+import requests
+
+import gradio as gr
+import numpy as np
+
+
+base_url = "https://api.sandbox.deepgram.com/nlu"
+token_str = os.environ['DG_TOKEN']
+def tts_fn(text, speed, pitch_steps, variability):
+    texts = [text]
+    response = requests.post(
+        f'{base_url}', 
+        files=[('texts', ('texts', json.dumps(texts), 'application/json'))], 
+        params={'synthesize': 'true', 'speed': speed, 'pitch_steps': int(pitch_steps), 'variability': variability},
+        headers={
+            'Authorization': f'Token {token_str}'
+        },
+    ).json()
+    sample_rate = int(response['results'][0]['sample_rate'])
+    audio = np.array(response['results'][0]['audio'], dtype=np.float32)
+    return (sample_rate, audio)
+
+
+app = gr.Blocks()
+
+with app:
+    with gr.Tab("TTS MVP"):
+        with gr.Row():
+            with gr.Column():
+                pangram = "The beige hue on the waters of the loch impressed all, including the French queen, before she heard that symphony again, just as young Arthur wanted."
+                cherry = "Good evening. I'm a text to speech bot. Please allow me to assist you."
+                textbox = gr.TextArea(label="Text", placeholder="Type a sentence here", value=cherry)
+                speed = gr.Slider(minimum=0.0, maximum=2.0, value=1.1, step=0.1, label="Speed")
+                pitch_steps = gr.Slider(minimum=-24, maximum=24, value=0, step=1, label="Pitch Steps: 12 to an octave")
+                variability = gr.Slider(minimum=0.0, maximum=1.0, value=0.7, step=0.1, label="Variability")
+
+            with gr.Column():
+                audio_output = gr.Audio(label="Output Audio", elem_id='tts-audio')
+                btn = gr.Button("Generate")
+                btn.click(tts_fn, inputs=[textbox, speed, pitch_steps, variability], outputs=[audio_output])
+app.launch(share=True)