Create app.py

app.py

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+import torch
+import scipy
+import gradio as gr
+from diffusers import AudioLDMPipeline
+
+repo_id = "cvssp/audioldm-s-full-v2"
+pipe = AudioLDMPipeline.from_pretrained(repo_id, torch_dtype=torch.float16)
+pipe = pipe.to("cpu")
+
+def create_wav(prompt:str, name_file: str):
+  prompt = prompt
+  audio = pipe(prompt, num_inference_steps=10, audio_length_in_s=5.0).audios[0]
+
+  # save the audio sample as a .wav file
+  scipy.io.wavfile.write(f'{name_file}.wav', rate=16000, data=audio)
+
+  # Assuming your file is named 'audio_file.mp3'
+  audio_file = f'{name_file}.wav'
+
+  # Play the audio file
+  return audio_file
+
+
+gui = gr.Interface(
+    fn=create_wav,
+    inputs=["textbox", "textbox"],
+    outputs="audio"
+    )
+
+gui.launch(debug=True)