Update app.py

app.py

@@ -8,7 +8,8 @@ st.title("Text to Speech Converter")
 text_input = st.text_area("Enter text to convert to speech:")
 
 # Load the Hugging Face TTS model
-tts_pipeline = pipeline("text-to-speech", model="facebook/mms-tts-eng")
+# Using a more reliable and commonly used model for TTS
+tts_pipeline = pipeline("text-to-speech", model="microsoft/speecht5_tts")
 
 # Button to generate speech
 if st.button("Convert to Speech"):
@@ -16,14 +17,17 @@ if st.button("Convert to Speech"):
         # Generate the speech
         tts_output = tts_pipeline(text_input)
 
+        # The output from the pipeline should be an array of speech chunks
         # Save the generated speech to a file
-        with open("output.wav", "wb") as f:
-            f.write(tts_output["wav"])
+        audio_file_path = "output.wav"
+        with open(audio_file_path, "wb") as f:
+            f.write(tts_output[0]["array"])
 
         # Display the audio player in Streamlit
-        st.audio("output.wav")
+        st.audio(audio_file_path)
     else:
         st.warning("Please enter some text to convert.")
 
 # Footer
 st.markdown("Powered by [Hugging Face Transformers](https://huggingface.co/transformers/).")
+