Delete app-backup.py

app-backup.py

@@ -1,117 +0,0 @@
-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()