Spaces:
Sleeping
Sleeping
Adding documentation
Browse files
app.py
CHANGED
|
@@ -144,7 +144,24 @@ def push_to_hub(hub_id, is_new_dataset, sampling_rate):
|
|
| 144 |
gr.Warning("The hub_id field is empty, please provide a relevant hub id.")
|
| 145 |
return update_display()
|
| 146 |
with gr.Blocks() as demo:
|
| 147 |
-
gr.Markdown("# 🗣️ TTS Dataset Recorder
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 148 |
|
| 149 |
with gr.Row():
|
| 150 |
json_file = gr.File(label="Upload Sentences JSON", file_types=[".json"])
|
|
|
|
| 144 |
gr.Warning("The hub_id field is empty, please provide a relevant hub id.")
|
| 145 |
return update_display()
|
| 146 |
with gr.Blocks() as demo:
|
| 147 |
+
gr.Markdown("""# 🗣️ TTS Dataset Recorder
|
| 148 |
+
|
| 149 |
+
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.
|
| 150 |
+
|
| 151 |
+
### **How to Use?**
|
| 152 |
+
1. **Upload a JSON File** containing the sentences you'd like to record (or manually input them through the app).
|
| 153 |
+
2. **Record Audio** for each sentence. The app will automatically associate your recordings with the correct text.
|
| 154 |
+
3. **Export the Dataset** as a JSON file or **Sync** to HuggingFace for easy sharing and use.
|
| 155 |
+
|
| 156 |
+
### **Data Input Format**
|
| 157 |
+
Your JSON file should follow this structure:
|
| 158 |
+
```json
|
| 159 |
+
[
|
| 160 |
+
{ "id": "001", "text": "Hello, how are you?" },
|
| 161 |
+
{ "id": "002", "text": "This is a sample sentence." }
|
| 162 |
+
]
|
| 163 |
+
|
| 164 |
+
""")
|
| 165 |
|
| 166 |
with gr.Row():
|
| 167 |
json_file = gr.File(label="Upload Sentences JSON", file_types=[".json"])
|