feat: pass string as argument

- disable torch warnings

README.md

@@ -69,10 +69,16 @@ Running the program without arguments will use the demo text `tongue-twister.txt
 $ python tts.py # will use default arguments
 ```
 
-To run the program with an input file, use flag `--input`.
+You can pass a string as first argument:
 
 ```bash
-$ python tts.py --input demo/tongue-twister.txt
+$ python tts.py "Hello world!" # will be read by the default voice
+```
+
+To run the program with an input file, use flag `--input_file`.
+
+```bash
+$ python tts.py --input_file demo/tongue-twister.txt
 ```
 
 ### Voices

tts.py

@@ -1,6 +1,7 @@
 import sys
 import os
 from time import sleep, time
+import warnings
 
 import torch
 import argparse
@@ -9,6 +10,8 @@ import soundfile as sf
 import vlc
 from tqdm import tqdm
 
+# Disable all warnings
+warnings.filterwarnings("ignore")
 
 # See voices: https://huggingface.co/hexgrad/Kokoro-82M/blob/main/VOICES.md
 voices = {
@@ -18,23 +21,32 @@ voices = {
     'brit': 'bf_emma'
 }
 
-
 def parse_args():
     parser = argparse.ArgumentParser(description="Simple TTS")
+    parser.add_argument(
+        "input_text",
+        type=str,
+        nargs='?',
+        default="",
+        help="Text to read",
+    )
     parser.add_argument(
         "--voice",
+        required=False,
         type=str,
         default="pro",
         help="Voice to use (pro, hot, asmr, brit)",
     )
     parser.add_argument(
-        "--input",
+        "--input_file",
+        required=False,
         type=str,
         default="demo/tongue-twister.txt",
-        help="Voice to use (pro, hot, asmr, brit)",
+        help="Path to the input text file",
     )
     parser.add_argument(
         "--device",
+        required=False,
         type=str,
         default=("cuda" if torch.cuda.is_available() else ("mps" if torch.backends.mps.is_available() else ("xpu" if torch.xpu.is_available() else "cpu"))),
         help="Device for inference: cuda | mps | cpu",
@@ -50,28 +62,30 @@ def main():
         voice=voices['pro'] if args.voice is None else args.voice
 
     # filename argument
-    file_path = args.input
+    if args.input_text == "":
+        file_path = args.input_file
         directory, file_name = os.path.split(file_path)
-
         name = '.'.join(file_name.split('.')[:-1])
-
         file = open(file_path, "r")
         text = file.read()
-    generator = pipeline(text, voice=voice)
+    else:
+        name = "chat"
+        text = args.input_text
 
+    generator = pipeline(text, voice=voice)
     output_files = []
     length = 0
 
     start_time = time()
+    print("Generating...")
     for i, (gs, ps, audio) in enumerate(generator):
         output_file_name=f'outputs/{name}-{voice}-{i}.wav'
         os.makedirs(os.path.dirname(output_file_name), exist_ok=True)
         output_files.append(output_file_name)
         sf.write(output_file_name, audio, 24000)
-        print(u'\u2713', output_file_name)
         length = length + 1
     generation_time = time() - start_time
-    print(f"Generation time: {generation_time:.2f} seconds")
+    print(f"Done in {generation_time:.2f} seconds")
 
     for i, output in enumerate(output_files):
         full_path = os.path.abspath(output)