Create app.py

app.py

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+import streamlit as st
+import librosa
+import soundfile as sf
+from TTS.api import TTS
+
+# Load the pre-trained TTS model
+MODEL_NAME = "tts_models/en/vctk/vits"  # Change this to other models if desired
+tts = TTS(model_name=MODEL_NAME, progress_bar=True, gpu=False)
+
+# Title and description
+st.title("Voice Cloning Tool")
+st.markdown("""
+Upload a sample of your voice and type text to generate a cloned output. 
+This tool uses a pre-trained voice synthesis model.
+""")
+
+# Step 1: Upload an audio file
+uploaded_file = st.file_uploader("Upload your voice sample (WAV format preferred):", type=["wav", "mp3"])
+if uploaded_file:
+    st.audio(uploaded_file, format="audio/wav", start_time=0)
+
+# Step 2: Enter text for synthesis
+text_input = st.text_area("Enter text to synthesize with the cloned voice:")
+if not text_input:
+    st.warning("Please enter text to generate cloned voice output.")
+
+# Process the audio input (convert to mono WAV)
+def preprocess_audio(file):
+    """Converts audio to mono WAV with a sampling rate of 16kHz."""
+    y, sr = librosa.load(file, sr=16000, mono=True)
+    return y, sr
+
+# Save processed audio for the model
+if uploaded_file:
+    with open("input_audio.wav", "wb") as f:
+        f.write(uploaded_file.read())
+    input_audio_path = "input_audio.wav"
+
+# Step 3: Clone voice and synthesize speech
+if st.button("Clone Voice"):
+    if uploaded_file and text_input:
+        # Process the input audio
+        audio, sr = preprocess_audio(input_audio_path)
+        sf.write("processed_audio.wav", audio, sr)
+
+        # Clone the voice and synthesize speech
+        try:
+            output_audio = tts.tts(text=text_input, speaker_wav="processed_audio.wav")
+            output_path = "cloned_output.wav"
+            sf.write(output_path, output_audio, samplerate=16000)
+            st.success("Voice cloning complete! Listen to the output below:")
+            st.audio(output_path, format="audio/wav")
+            st.download_button("Download Cloned Voice", data=open(output_path, "rb"), file_name="cloned_output.wav")
+        except Exception as e:
+            st.error(f"Error during voice cloning: {e}")
+    else:
+        st.error("Please upload a voice sample and enter text for synthesis.")