Create app.py

app.py

@@ -0,0 +1,36 @@
+import streamlit as st
+from transformers import pipeline
+import soundfile as sf
+import io
+
+# Initialize TTS pipeline
+@st.cache_resource
+def get_tts_pipeline():
+    return pipeline("text-to-speech", model="facebook/fastspeech2-en-ljspeech")
+
+tts = get_tts_pipeline()
+
+# Streamlit app
+st.title("Text-to-Speech (TTS) Application")
+st.write("Convert text to speech using Hugging Face models!")
+
+# Input text
+input_text = st.text_area("Enter text below:", "Hello! Welcome to our TTS application.")
+
+if st.button("Generate Speech"):
+    if input_text.strip():
+        # Generate speech
+        with st.spinner("Generating speech..."):
+            speech = tts(input_text)
+
+        # Convert numpy array to audio file
+        audio_data = io.BytesIO()
+        sf.write(audio_data, speech["audio"], samplerate=speech["sampling_rate"], format="wav")
+        audio_data.seek(0)
+
+        # Play audio
+        st.audio(audio_data, format="audio/wav")
+    else:
+        st.error("Please enter some text!")
+
+st.markdown("**Created by [Your Name]**")