initial commit

app.py

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+import gradio as gr
+from transformers import AutoProcessor, BarkModel
+import scipy
+
+# Load the Bark model and processor
+processor = AutoProcessor.from_pretrained("suno/bark-small")
+model = BarkModel.from_pretrained("suno/bark-small")
+
+# Function to generate speech
+def generate_speech(text, voice_preset):
+    # Process the input text with the selected voice preset
+    inputs = processor(text, voice_preset=voice_preset)
+    # Generate audio
+    audio_array = model.generate(**inputs)
+    audio_array = audio_array.cpu().numpy().squeeze()
+    # Return the audio as a tuple with the sample rate for Gradio's audio component
+    return (model.generation_config.sample_rate, audio_array)
+
+# Gradio app setup
+with gr.Blocks() as app:
+    gr.Markdown("# Turkish Text-to-Speech with Bark")
+    gr.Markdown("Enter text, select a Turkish voice preset, and click 'Generate Voice' to play the generated audio.")
+
+    # Input text box for user to type text
+    text_input = gr.Textbox(label="Enter Text in Turkish", placeholder="Merhaba, bugün bir yerlere gidelim mi?")
+    
+    # Dropdown for selecting voice preset
+    voice_preset_input = gr.Dropdown(
+        ["v2/tr_speaker_0", "v2/tr_speaker_1", "v2/tr_speaker_2", "v2/tr_speaker_3", 
+         "v2/tr_speaker_4", "v2/tr_speaker_5", "v2/tr_speaker_6", 
+         "v2/tr_speaker_7", "v2/tr_speaker_8", "v2/tr_speaker_9"],
+        label="Select Turkish Voice Preset"
+    )
+    
+    # Audio output component for playing generated audio
+    audio_output = gr.Audio(label="Generated Voice", type="numpy")
+    
+    # Button to trigger the generation
+    generate_button = gr.Button("Generate Voice")
+    
+    # When the button is clicked, call the generate_speech function
+    generate_button.click(generate_speech, inputs=[text_input, voice_preset_input], outputs=audio_output)
+
+# Launch the Gradio app
+app.launch()

requirements.txt

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+transformers
+scipy
+torch
+gradio