Create app.py

app.py

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+import os
+os.system("pip install speechbrain torchaudio gradio")
+
+import torchaudio
+from speechbrain.pretrained import Tacotron2, HIFIGAN
+import gradio as gr
+
+# Load SpeechBrain models
+print("Loading SpeechBrain models...")
+tacotron2 = Tacotron2.from_hparams(source="speechbrain/tts-tacotron2-ljspeech", savedir="models/tacotron2")
+hifi_gan = HIFIGAN.from_hparams(source="speechbrain/tts-hifigan-ljspeech", savedir="models/hifigan")
+print("Models loaded! Ready to generate speech.")
+
+# Generate speech from text
+def text_to_speech(text):
+    mel_output, _, _ = tacotron2.encode_text(text)
+    waveforms = hifi_gan.decode_batch(mel_output)
+    output_file = "output_speech.wav"
+    torchaudio.save(output_file, waveforms.squeeze(1), 22050)
+    return output_file  # Return the audio file
+
+# Create Gradio UI
+iface = gr.Interface(
+    fn=text_to_speech,
+    inputs=gr.Textbox(label="Text to speak"),
+    outputs=gr.Audio(type="file", label="Generated Speech"),
+    title="SpeechBrain TTS Demo",
+    description="Enter text and get an AI-generated voice output!"
+)
+
+# Launch the app
+iface.launch()