first

app.py

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+from diffusers import AudioLDMPipeline
+import torch
+import gradio as gr
+from googletrans import Translator
+
+if torch.cuda.is_available():
+    device = "cuda"
+    torch_dtype = torch.float16
+else:
+    device = "cpu"
+    torch_dtype = torch.float32
+repo_id = "cvssp/audioldm-m-full"
+pipe = AudioLDMPipeline.from_pretrained(repo_id, torch_dtype=torch.float16)
+#pipe = pipe.to("cuda")
+
+prompt = "Techno music with a strong, upbeat tempo and high melodic riffs"
+
+
+def generate_sound(text): 
+    print(text)
+    text=translate_text(text)
+    print(text)
+    audio = pipe(text, num_inference_steps=10, audio_length_in_s=5.0).audios[0]
+    rate =160000
+    return rate, audio
+def translate_text(text):
+    translator = Translator()
+    translated_text=translator.translate(text, src='es',dest="en")
+    return translated_text.text
+
+demo = gr.Blocks()
+with demo:
+    with gr.Row():
+        with gr.Column():
+
+            text = gr.Textbox(value="Ingrese el texto:")
+            button = gr.Button(value="Generar")
+
+        with gr.Column():
+            output = gr.Audio()
+    button.click(generate_sound,text,output)
+
+
+demo.launch()

requirements.txt

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+googletrans==3.1.0a0
+torch
+transformers
+diffusers
+gradio