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Adding documentation
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app.py
CHANGED
@@ -144,7 +144,24 @@ def push_to_hub(hub_id, is_new_dataset, sampling_rate):
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gr.Warning("The hub_id field is empty, please provide a relevant hub id.")
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return update_display()
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with gr.Blocks() as demo:
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gr.Markdown("# 🗣️ TTS Dataset Recorder
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with gr.Row():
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json_file = gr.File(label="Upload Sentences JSON", file_types=[".json"])
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gr.Warning("The hub_id field is empty, please provide a relevant hub id.")
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return update_display()
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with gr.Blocks() as demo:
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gr.Markdown("""# 🗣️ TTS Dataset Recorder
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Welcome to the **TTS Dataset Recorder**! This tool helps you quickly create a high-quality dataset for Text-to-Speech (TTS) models. Whether you're starting from scratch or have a pre-existing set of text data, this app lets you record audio samples and export them with the corresponding metadata.
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### **How to Use?**
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1. **Upload a JSON File** containing the sentences you'd like to record (or manually input them through the app).
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2. **Record Audio** for each sentence. The app will automatically associate your recordings with the correct text.
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3. **Export the Dataset** as a JSON file or **Sync** to HuggingFace for easy sharing and use.
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### **Data Input Format**
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Your JSON file should follow this structure:
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```json
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[
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{ "id": "001", "text": "Hello, how are you?" },
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{ "id": "002", "text": "This is a sample sentence." }
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]
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""")
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with gr.Row():
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json_file = gr.File(label="Upload Sentences JSON", file_types=[".json"])
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