Update README.md

README.md

@@ -63,7 +63,7 @@ Typical applications:
 
 ## Inference
 
-This repo includes a reference script for running the TFLite models on WAV files using streaming-style, frame-by-frame inference: `enhance.py`. 
+This repo includes a reference script for running the TFLite models on WAV files using streaming-style, frame-by-frame inference: `run_tflite.py`. 
 
 ### Setup
 
@@ -78,7 +78,7 @@ pip install tflite-runtime
 
 By default, the script loads models from:
 
-* `./model_zoo/tflite/<model_name>.tflite` 
+* `./<model_name>.tflite` 
 
 Create the folder and place the `.tflite` files there (or edit `TFLITE_DIR` in the script to match your layout).
 
@@ -87,7 +87,7 @@ Create the folder and place the `.tflite` files there (or edit `TFLITE_DIR` in t
 The script processes `*.wav` files non-recursively and writes enhanced outputs as 16-bit PCM WAVs:
 
 ```bash
-python enhance.py --noisy_dir /path/to/noisy_wavs --enhanced_dir /path/to/out --model_name dpdfnet8
+python run_tflite.py --noisy_dir /path/to/noisy_wavs --enhanced_dir /path/to/out --model_name dpdfnet8
 ```
 
 Available `--model_name` options: `baseline`, `dpdfnet2`, `dpdfnet4`, `dpdfnet8`.