Update app.py

app.py

@@ -180,9 +180,9 @@ def predict(
         torchaudio.save(buffer, torch.tensor(out["wav"]).unsqueeze(0), 24000, format='wav')
 
         buffer.seek(0)
-        wav_base64 = base64.b64encode(buffer.read()).decode('utf-8')
-        print(wav_base64)
-        wav_base64
+        base_gr = base64.b64encode(buffer.read()).decode('utf-8')
+        print(base_gr)
+        base_gr
 
     except RuntimeError as e:
         if "device-side assert" in str(e):
@@ -248,7 +248,7 @@ def predict(
                     "Something unexpected happened please retry again."
                 )
             return (None, metrics_text)
-    return ("output.wav", metrics_text)
+    return ("output.wav", metrics_text, base_gr)
 
 
 with gr.Blocks(analytics_enabled=False) as demo:
@@ -317,6 +317,7 @@ with gr.Blocks(analytics_enabled=False) as demo:
         with gr.Column():
             audio_gr = gr.Audio(label="Synthesised Audio", autoplay=True)
             out_text_gr = gr.Text(label="Metrics")
+            base_gr = gr.Text(label="Base64")
 
     tts_button.click(
         predict,
@@ -326,7 +327,7 @@ with gr.Blocks(analytics_enabled=False) as demo:
             ref_gr,
             normalize_text,
         ],
-        outputs=[audio_gr, out_text_gr],
+        outputs=[audio_gr, out_text_gr, base_gr],
         api_name="predict",
     )