Magpietts decoderonly 2601 inference refactoring

docs/source/tts/magpietts-longform.rst

@@ -169,23 +169,23 @@ The ``do_tts`` method automatically detects whether longform inference is needed
     sf.write("output.wav", long_audio[0].cpu().numpy(), 22050)
 
 
-Method 2: Using CLI (``magpietts_inference.py``)
+Method 2: Using CLI (``tts_infer.py``)
 ------------------------------------------------
 
 For batch inference from manifests:
 
 .. code-block:: bash
 
     # Auto-detect longform based on text length (default)
-    python examples/tts/magpietts_inference.py \
+    python examples/tts/tts_infer.py \
         --nemo_files /path/to/magpietts.nemo \
         --datasets_json_path /path/to/evalset_config.json \
         --out_dir /path/to/output \
         --codecmodel_path /path/to/codec.nemo \
         --longform_mode auto
 
     # Force longform inference for all inputs
-    python examples/tts/magpietts_inference.py \
+    python examples/tts/tts_infer.py \
         --nemo_files /path/to/magpietts.nemo \
         --datasets_json_path /path/to/evalset_config.json \
         --out_dir /path/to/output \

docs/source/tts/magpietts.rst

@@ -130,7 +130,7 @@ Several parameters control the generation behavior. The temperature setting affe
 
 .. code-block:: bash
 
-    python examples/tts/magpietts_inference.py \
+    python examples/tts/tts_infer.py \
         --nemo_files /path/to/magpietts_model.nemo \
         --codecmodel_path /path/to/audio_codec.nemo \
         --datasets your_evaluation_set \

examples/tts/evalset_config.json

@@ -15,3 +15,4 @@
         "feature_dir": null
     }
 }
+