Create app.py

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+import torch
+from fairseq.checkpoint_utils import load_model_ensemble_and_task_from_hf_hub
+
+# Cargar el modelo
+models, cfg, task = load_model_ensemble_and_task_from_hf_hub(
+    "gitgato/speecht5_tts_mabama_es"
+)
+model = models[0]
+
+# Función para generar la salida de texto a voz
+def text_to_speech(text):
+    # Preprocesamiento del texto
+    tokens = task.source_dictionary.encode_line(text, add_if_not_exist=False)
+    
+    # Generar salida de audio
+    with torch.no_grad():
+        sample = {"net_input": {"src_tokens": tokens.unsqueeze(0).long()}}
+        generator = task.build_generator([model], cfg.generation)
+        audio = task.inference_step(generator, [model], sample)
+    
+    return audio[0][0].numpy()
+
+# Crear interfaz de Gradio
+iface = gr.Interface(
+    fn=text_to_speech,
+    inputs=gr.inputs.Textbox(lines=2, placeholder="Ingrese el texto aquí..."),
+    outputs=gr.outputs.Audio(type="numpy", label="Output Audio")
+)
+
+if __name__ == "__main__":
+    iface.launch()