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This Space is synced from the GitHub repo: https://github.com/SWivid/F5-TTS. Please submit contributions to the Space there

README_REPO.md

@@ -72,7 +72,7 @@ Currently supported features:
 - Basic TTS with Chunk Inference
 - Multi-Style / Multi-Speaker Generation
 - Voice Chat powered by Qwen2.5-3B-Instruct
-- [Custom model](src/f5_tts/infer/SHARED.md) inference (local only)
+- [Custom model inference with more language support](src/f5_tts/infer/SHARED.md) (local Gradio only)
 
 ```bash
 # Launch a Gradio app (web interface)

src/f5_tts/train/finetune_gradio.py

@@ -44,7 +44,7 @@ last_ema = None
 
 path_data = str(files("f5_tts").joinpath("../../data"))
 path_project_ckpts = str(files("f5_tts").joinpath("../../ckpts"))
-file_train = "src/f5_tts/train/finetune_cli.py"
+file_train = str(files("f5_tts").joinpath("train/finetune_cli.py"))
 
 device = "cuda" if torch.cuda.is_available() else "mps" if torch.backends.mps.is_available() else "cpu"
 
@@ -1179,7 +1179,7 @@ def get_random_sample_transcribe(project_name):
             continue
 
         # fixed audio when it is absolute
-        file_audio = get_correct_audio_path(sp[0], path_project)
+        file_audio = get_correct_audio_path(sp[0], os.path.join(path_project, "wavs"))
         list_data.append([file_audio, sp[1]])
 
     if list_data == []: