Create app.py

app.py

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+import streamlit as st
+from kokoro import KPipeline
+import soundfile as sf
+import io
+
+# Streamlit App UI Setup
+st.title("Text-to-Speech with Kokoro")
+st.sidebar.header("Configuration & Instructions")
+
+# Sidebar Instructions
+st.sidebar.markdown("""
+### How to Use the Text-to-Speech App:
+
+1. **Enter Text**: In the main text area, input any text that you want the model to convert to speech.
+   
+2. **Select Language**: 
+   - Choose the language of the text you are entering. Available options include:
+     - 🇺🇸 American English (`a`)
+     - 🇬🇧 British English (`b`)
+     - 🇪🇸 Spanish (`e`)
+     - 🇫🇷 French (`f`)
+     - 🇮🇳 Hindi (`h`)
+     - 🇮🇹 Italian (`i`)
+     - 🇧🇷 Brazilian Portuguese (`p`)
+     - 🇯🇵 Japanese (`j`)
+     - 🇨🇳 Mandarin Chinese (`z`)
+   
+3. **Select Voice**:
+   - Choose the voice style for the speech. You can pick different voices based on tone and gender, such as `af_heart`, `af_joy`, etc.
+   
+4. **Adjust Speed**:
+   - Use the speed slider to change how fast the speech is generated. You can set it between `0.5x` to `2.0x`, where `1.0x` is the normal speed.
+
+5. **Generate Speech**:
+   - After configuring the settings, click on the **"Generate Audio"** button. The app will process your text and produce speech audio accordingly.
+   
+6. **Download**:
+   - Once the audio is generated, you can play it directly in the app or download it as a `.wav` file by clicking on the **"Download Audio"** button.
+
+Enjoy experimenting with the text-to-speech conversion, and feel free to try different voices, speeds, and languages!
+""")
+
+# User input for text, language, and voice settings
+input_text = st.text_area("Enter your text here", "The sky above the port was the color of television...")
+lang_code = st.selectbox("Select Language", ['a', 'b', 'e', 'f', 'h', 'i', 'p', 'j', 'z'])
+voice = st.selectbox("Select Voice", ['af_heart', 'af_joy', 'af_female', 'af_male'])  # Change voice options as per model
+speed = st.slider("Speed", min_value=0.5, max_value=2.0, value=1.0, step=0.1)
+
+# Initialize the TTS pipeline with user-selected language
+pipeline = KPipeline(lang_code=lang_code)
+
+# Generate Audio function
+def generate_audio(text, lang_code, voice, speed):
+    generator = pipeline(text, voice=voice, speed=speed, split_pattern=r'\n+')
+    for i, (gs, ps, audio) in enumerate(generator):
+        audio_data = audio
+        # Save audio to in-memory buffer
+        buffer = io.BytesIO()
+        sf.write(buffer, audio_data, 24000)
+        buffer.seek(0)
+        return buffer
+
+# Generate and display the audio file
+if st.button('Generate Audio'):
+    st.write("Generating speech...")
+    audio_buffer = generate_audio(input_text, lang_code, voice, speed)
+    
+    # Display Audio player in the app
+    st.audio(audio_buffer, format='audio/wav')
+
+    # Optional: Save the generated audio file for download
+    st.download_button(
+        label="Download Audio",
+        data=audio_buffer,
+        file_name="generated_speech.wav",
+        mime="audio/wav"
+    )