Send raw bytes for us in sa.play_buffer

README.md

@@ -0,0 +1,40 @@
+# Learning Nemo Toolkit
+
+## Examples
+
+I made a streaming example with `tts_stream.py`.
+
+```
+python tts_steam.py
+```
+
+Will take some time to load but eventually you will see
+```
+[NeMo I 2022-03-05 14:32:25 common:654] Instantiating model from pre-trained checkpoint
+[NeMo I 2022-03-05 14:32:27 features:240] PADDING: 1
+[NeMo I 2022-03-05 14:32:27 features:249] STFT using conv
+[NeMo I 2022-03-05 14:32:27 features:251] STFT using exact pad
+[NeMo I 2022-03-05 14:33:13 modelPT:376] Model SqueezeWaveModel was successfully restored from /home/toor/.cache/torch/NeMo/NeMo_1.0.0rc1/tts_squeezewave/d48f5835ac007ddb0c183bdbbbdace28/tts_squeezewave.nemo.
+File tts_fifo_file already exists
+Pipe text to tts_fifo_file
+```
+
+You can echo text steams to this file and the program will process them and play them on local speaker:
+
+```
+echo "I can't let you do that Dave." > tts_fifo_file
+```
+
+The first time it processes a text stream it will take a lot longer. It should get slightly faster after that first steam.
+
+## Dependencies
+
+I had
+
+```
+llvmlite-0.36.0-cp38-cp38-linux_aarch64.whl
+onnxruntime_gpu-1.7.0-cp38-cp38-linux_aarch64.whl
+torch-1.7.0-cp38-cp38-linux_aarch64.whl
+```
+
+In a dependencies folder. So I assume I hade these installed in then virtualenv manually

tts_tcp_stream.py

@@ -20,7 +20,7 @@ def send_file(audio_data):
     (HOST, PORT) = ('rospi.runcible.io', 9000)
     s = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
     s.connect((HOST, PORT))
-    s.sendfile(audio_data)
+    s.sendall(audio_data)
 
 
 def create_fifo(path):