Fix default output path

tortoise/do_tts.py

@@ -15,7 +15,7 @@ if __name__ == '__main__':
     parser.add_argument('--voice_diversity_intelligibility_slider', type=float,
                         help='How to balance vocal diversity with the quality/intelligibility of the spoken text. 0 means highly diverse voice (not recommended), 1 means maximize intellibility',
                         default=.5)
-    parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='../results/')
+    parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='results/')
     parser.add_argument('--model_dir', type=str, help='Where to find pretrained model checkpoints. Tortoise automatically downloads these to .models, so this'
                                                       'should only be specified if you have custom checkpoints.', default='.models')
     args = parser.parse_args()

tortoise/read.py

@@ -31,7 +31,7 @@ if __name__ == '__main__':
     parser.add_argument('--textfile', type=str, help='A file containing the text to read.', default="tortoise/data/riding_hood.txt")
     parser.add_argument('--voice', type=str, help='Selects the voice to use for generation. See options in voices/ directory (and add your own!) '
                                                  'Use the & character to join two voices together. Use a comma to perform inference on multiple voices.', default='pat')
-    parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='../results/longform/')
+    parser.add_argument('--output_path', type=str, help='Where to store outputs.', default='results/longform/')
     parser.add_argument('--preset', type=str, help='Which voice preset to use.', default='standard')
     parser.add_argument('--regenerate', type=str, help='Comma-separated list of clip numbers to re-generate, or nothing.', default=None)
     parser.add_argument('--voice_diversity_intelligibility_slider', type=float,