Create app.py

app.py

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+import streamlit as st
+from transformers import pipeline
+import sounddevice as sd
+import numpy as np
+
+# Set the title with a colorful header
+st.markdown("<h1 style='text-align: center; color: #FF6347;'>🎤 Text-to-Speech with Bark Model 🎶</h1>", unsafe_allow_html=True)
+
+# Add a description with a stylish subtitle
+st.markdown("<h3 style='text-align: center; color: #4682B4;'>Convert your text into lifelike speech instantly!</h3>", unsafe_allow_html=True)
+st.markdown("---")
+
+# Initialize the text-to-speech pipeline with the Bark model
+synthesizer = pipeline("text-to-speech", model="suno/bark")
+
+# Add an input text box with a vibrant background
+text = st.text_area(
+    "Enter the text you want to convert to speech:",
+    placeholder="Type something interesting...",
+    height=150,
+)
+
+# Button to generate and play speech with a custom style
+if st.button("🎙️ Convert to Speech"):
+    if text.strip() == "":
+        st.error("Please enter some text before converting!")
+    else:
+        with st.spinner("Generating speech... 🎶"):
+            # Generate speech
+            speech = synthesizer(text)
+
+            # Convert the audio data to 16-bit PCM format
+            audio_data = speech["audio"]
+            audio_data = np.int16(audio_data / np.max(np.abs(audio_data)) * 32767)  # Normalize and convert to int16
+
+            # Play the generated audio immediately
+            sampling_rate = speech["sampling_rate"]
+            sd.play(audio_data, sampling_rate)
+            sd.wait()  # Wait until the audio has finished playing
+
+            # Success message
+            st.success("🎉 Speech generation complete!")
+
+# Add a colorful footer
+st.markdown("<footer style='text-align: center; color: #708090; font-size: 12px;'>Created with ❤️ using Streamlit and Transformers</footer>", unsafe_allow_html=True)