Update app.py

app.py

@@ -1,6 +1,6 @@
 from transformers import pipeline
-from TTS.api import TTS
-tts = TTS("tts_models/multilingual/multi-dataset/xtts_v2", gpu=True)
+from transformers import DiffusionTextToSpeechPipeline
+
 
 # Initialize the translation pipeline for Russian to English
 translator = pipeline("translation_ru_to_en", model="Helsinki-NLP/opus-mt-ru-en")
@@ -20,7 +20,11 @@ summary = summarizer(translation, max_length=140, min_length=110, do_sample=Fals
 
 print("Summary: ", summary)
 
-tts.tts_to_file(text=summary,
-                file_path="output.wav",
-                speaker_wav="/speaker.wav",
-                language="en")
+pipeline = DiffusionTextToSpeechPipeline.from_pretrained("microsoft/tts-diffusion-xlarge-en")
+
+# Generate speech
+speech = pipeline(summary)
+
+# Save the output
+with open("output.wav", "wb") as f:
+    f.write(speech["sampling_rate"].get_wav_data())