Create app.py

app.py

@@ -0,0 +1,31 @@
+import gradio as gr
+from transformers import pipeline
+from TTS.api import TTS
+
+translator = pipeline(
+    "translation_en_to_es",
+    model="Helsinki-NLP/opus-mt-en-es"
+)
+
+# Load YOUR trained model
+tts = TTS(model_path="./my_voice_model")
+
+def translate_and_speak(text):
+    translated = translator(text)[0]['translation_text']
+    
+    output = "output.wav"
+    tts.tts_to_file(
+        text=translated,
+        language="es",
+        file_path=output
+    )
+    
+    return translated, output
+
+demo = gr.Interface(
+    fn=translate_and_speak,
+    inputs="text",
+    outputs=["text", "audio"]
+)
+
+demo.launch()