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src/f5_tts/train/finetune_gradio.py

@@ -1161,7 +1161,7 @@ def get_random_sample_infer(project_name):
     )
 
 
-def infer(file_checkpoint, exp_name, ref_text, ref_audio, gen_text, nfe_step, use_ema):
+def infer(project, file_checkpoint, exp_name, ref_text, ref_audio, gen_text, nfe_step, use_ema):
     global last_checkpoint, last_device, tts_api, last_ema
 
     if not os.path.isfile(file_checkpoint):
@@ -1182,7 +1182,11 @@ def infer(file_checkpoint, exp_name, ref_text, ref_audio, gen_text, nfe_step, us
         if last_ema != use_ema:
             last_ema = use_ema
 
-        tts_api = F5TTS(model_type=exp_name, ckpt_file=file_checkpoint, device=device_test, use_ema=use_ema)
+        vocab_file = os.path.join(path_data, project, "vocab.txt")
+
+        tts_api = F5TTS(
+            model_type=exp_name, ckpt_file=file_checkpoint, vocab_file=vocab_file, device=device_test, use_ema=use_ema
+        )
 
         print("update >> ", device_test, file_checkpoint, use_ema)
 
@@ -1630,7 +1634,7 @@ SOS : check the use_ema setting (True or False) for your model to see what works
 
             check_button_infer.click(
                 fn=infer,
-                inputs=[cm_checkpoint, exp_name, ref_text, ref_audio, gen_text, nfe_step, ch_use_ema],
+                inputs=[cm_project, cm_checkpoint, exp_name, ref_text, ref_audio, gen_text, nfe_step, ch_use_ema],
                 outputs=[gen_audio, txt_info_gpu],
             )