Update app.py

app.py

@@ -1,7 +1,5 @@
 from transformers import pipeline
 
-tts = pipeline("text-to-speech", model="julien-c/ljspeech_tts_train_tacotron2_raw_phn_tacotron_g2p_en_no_space_train")
-
 # Initialize the translation pipeline for Russian to English
 translator = pipeline("translation_ru_to_en", model="Helsinki-NLP/opus-mt-ru-en")
 
@@ -18,11 +16,4 @@ print("Translated Text: ", translation)
 # Summarize the translated text
 summary = summarizer(translation, max_length=140, min_length=110, do_sample=False)[0]['summary_text']
 
-print("Summary: ", summary)
-
-speech = tts(summary)
-
-# The output is a list of PyTorch tensors containing the audio data
-# Let's save the first (and only) audio sample to a file
-with open("output1.wav", "wb") as f:
-    f.write(speech[0]["file"].read())
+print("Summary: ", summary)