Create app-backup.py

app-backup.py

@@ -0,0 +1,117 @@
+import os
+import gradio as gr
+import outetts
+from outetts.version.v2.interface import _DEFAULT_SPEAKERS
+import torch
+import spaces
+
+def get_available_speakers():
+    speakers = list(_DEFAULT_SPEAKERS.keys())
+    return speakers
+
+@spaces.GPU
+def generate_tts(text, temperature, repetition_penalty, speaker_selection, reference_audio):
+    model_config = outetts.HFModelConfig_v2(
+        model_path="OuteAI/OuteTTS-0.3-1B",
+        tokenizer_path="OuteAI/OuteTTS-0.3-1B",
+        dtype=torch.bfloat16,
+        device="cuda"
+    )
+    interface = outetts.InterfaceHF(model_version="0.3", cfg=model_config)
+
+    try:
+        if reference_audio:
+            speaker = interface.create_speaker(reference_audio)
+        elif speaker_selection and speaker_selection != "None":
+            speaker = interface.load_default_speaker(speaker_selection)
+        else:
+            speaker = None
+
+        gen_cfg = outetts.GenerationConfig(
+            text=text,
+            temperature=temperature,
+            repetition_penalty=repetition_penalty,
+            max_length=4096,
+            speaker=speaker,
+        )
+        output = interface.generate(config=gen_cfg)
+
+        if output.audio is None:
+            raise ValueError("Model failed to generate audio. This may be due to input length constraints or early EOS token.")
+
+        output_path = "output.wav"
+        output.save(output_path)
+        return output_path, None
+    except Exception as e:
+        return None, str(e)
+
+with gr.Blocks(theme="Yntec/HaleyCH_Theme_Orange") as demo:
+    gr.Markdown("# Voice Clone Multilingual TTS")
+    
+    error_box = gr.Textbox(label="Error Messages", visible=False)
+    
+    with gr.Row():
+        with gr.Column(scale=1):
+            text_input = gr.Textbox(
+                label="Text to Synthesize",
+                placeholder="Enter text here...",
+                lines=8
+            )
+            
+            submit_button = gr.Button("Generate Speech")
+
+        with gr.Column(scale=1):
+            audio_output = gr.Audio(
+                label="Generated Audio",
+                type="filepath"
+            )
+            
+            with gr.Group():
+                speaker_dropdown = gr.Dropdown(
+                    choices=get_available_speakers(),
+                    value="en_male_1",
+                    label="Speaker Selection"
+                )
+                
+                temperature = gr.Slider(
+                    0.1, 1.0,
+                    value=0.1,
+                    label="Temperature (lower = more stable tone, higher = more expressive)"
+                )
+                
+                repetition_penalty = gr.Slider(
+                    0.5, 2.0,
+                    value=1.1,
+                    label="Repetition Penalty"
+                )
+                
+                reference_audio = gr.Audio(
+                    label="Reference Audio (for voice cloning)",
+                    type="filepath"
+                )
+                
+                gr.Markdown("""
+                ### Voice Cloning Guidelines:
+                - Use around 7-10 seconds of clear, noise-free audio
+                - For transcription interface will use Whisper turbo to transcribe the audio file
+                - Longer audio clips will reduce maximum output length
+                - Custom speaker overrides speaker selection
+                """)
+    
+    submit_button.click(
+        fn=generate_tts,
+        inputs=[
+            text_input,
+            temperature,
+            repetition_penalty,
+            speaker_dropdown,
+            reference_audio,
+        ],
+        outputs=[audio_output, error_box]
+    ).then(
+        fn=lambda x: gr.update(visible=bool(x)),
+        inputs=[error_box],
+        outputs=[error_box]
+    )
+
+demo.launch()