update

app.py

@@ -64,12 +64,13 @@ def predict(prompt, style, audio_file_pth, speed, agree):
     # Before we get into inference, we will detect if it is from example table or default value
     # If so, we use a cached Audio. Noted that, it is just for demo efficiency.
     # hash code were generated by `hash_code_for_cached_output.py`
+    # this hash get from gradio console
     cached_outputs = {
-        "d0f5806f6e_60565a5c20_en_us" : "cached_outputs/0.wav",
-        "d0f5806f6e_420ab8211d_en_us" : "cached_outputs/1.wav",
-        "6e8a024342_0f96bf44f5_es_default" : "cached_outputs/2.wav",
-        "54ad3237d7_3fef5adc6f_zh_default" : "cached_outputs/3.wav",
-        "8190e911f8_9897b60a4e_jp_default" : "cached_outputs/4.wav"
+        "af39e1f1ff_60565a5c20_en_us" : "cached_outputs/0.wav",
+        "af39e1f1ff_420ab8211d_en_us" : "cached_outputs/1.wav",
+        "ced034cc22_0f96bf44f5_es_default" : "cached_outputs/2.wav",
+        "d3172b178d_3fef5adc6f_zh_default" : "cached_outputs/3.wav",
+        "cda6998e1a_9897b60a4e_jp_default" : "cached_outputs/4.wav"
     }
     unique_code = hash_code_for_cached_output.get_unique_code(audio_file_pth, prompt, style)
     print("audio_file_pth is", audio_file_pth)

hash_code_for_cached_output.py

@@ -26,27 +26,27 @@ if __name__ == '__main__':
         {
             "text": "The bustling city square bustled with street performers, tourists, and local vendors.",
             "language": 'en_us',
-            "reference_speaker": "examples/speaker0.mp3"
+            "reference_speaker": "/tmp/gradio/971e5614c2398ed64e7c476251ec42cdb699d033/speaker0-0-100.wav"
         },
         {
             "text": "Did you ever hear a folk tale about a giant turtle?",
             "language": 'en_us',
-            "reference_speaker": "examples/speaker0.mp3"
+            "reference_speaker": "/tmp/gradio/971e5614c2398ed64e7c476251ec42cdb699d033/speaker0-0-100.wav"
         },
         {
             "text": "El resplandor del sol acaricia las olas, pintando el cielo con una paleta deslumbrante.",
             "language": 'es_default',
-            "reference_speaker": "examples/speaker1.mp3",
+            "reference_speaker": "/tmp/gradio/aee184926eca7bb464419ac1e8052907928c68fa/speaker1-0-100.wav",
         },
         {
             "text": "我最近在学习machine learning，希望能够在未来的artificial intelligence领域有所建树。",
             "language": 'zh_default',
-            "reference_speaker": "examples/speaker2.mp3",
+            "reference_speaker": "/tmp/gradio/8373380c451c716ded54e6d1de959cc7c5fc4d72/speaker2-0-100.wav",
         },
         {
             "text": "彼は毎朝ジョギングをして体を健康に保っています。",
             "language": 'jp_default',
-            "reference_speaker": "examples/speaker3.mp3",
+            "reference_speaker": "/tmp/gradio/5faad1507b5d6bc61a39ca3184db5a7b554a7479/speaker3-0-100.wav",
         }
     ]