Create app.py

app.py

@@ -0,0 +1,27 @@
+import gradio as gr
+from transformers import AutoProcessor, AutoModel
+import scipy
+
+
+processor = AutoProcessor.from_pretrained("suno/bark-small")
+model = AutoModel.from_pretrained("suno/bark-small")
+
+def run_bark():
+    inputs = processor(
+        text=["Hello, my name is Suno. And, uh — and I like pizza. [laughs] But I also have other interests such as playing tic tac toe."],
+        return_tensors="pt",
+    )
+    
+    speech_values = model.generate(**inputs, do_sample=True)
+
+    sampling_rate = model.config.sample_rate
+    scipy.io.wavfile.write("bark_out.wav", rate=sampling_rate, data=speech_values.cpu().numpy().squeeze())
+    return ("bark_out.wav")
+
+with gr.Blocks() as app:
+    out_audio = gr.Audio()
+    go_btn = gr.Button()
+
+    go_btn.click(run_bark,None,out_audio)
+
+app.launch()