Create app.py

app.py

@@ -0,0 +1,33 @@
+import os
+from modelscope.models.audio.tts import SambertHifigan
+from modelscope.pipelines import pipeline
+from modelscope.utils.constant import Tasks
+
+model_dir = os.path.abspath("./pretrain_work_dir")
+
+custom_infer_abs = {
+    'voice_name':
+    'F7',
+    'am_ckpt':
+    os.path.join(model_dir, 'tmp_am', 'ckpt'),
+    'am_config':
+    os.path.join(model_dir, 'tmp_am', 'config.yaml'),
+    'voc_ckpt':
+    os.path.join(model_dir, 'orig_model', 'basemodel_16k', 'hifigan', 'ckpt'),
+    'voc_config':
+    os.path.join(model_dir, 'orig_model', 'basemodel_16k', 'hifigan',
+             'config.yaml'),
+    'audio_config':
+    os.path.join(model_dir, 'data', 'audio_config.yaml'),
+    'se_file':
+    os.path.join(model_dir, 'data', 'se', 'se.npy')
+}
+kwargs = {'custom_ckpt': custom_infer_abs}
+
+model_id = SambertHifigan(os.path.join(model_dir, "orig_model"), **kwargs)
+
+inference = pipeline(task=Tasks.text_to_speech, model=model_id)
+output = inference(input="今天的天气真不错")
+
+import IPython.display as ipd
+ipd.Audio(output["output_wav"], rate=16000)