feat: Upload models, outputs and results

Add model folders with early instructions and a main.py file for testing. Add output folder for wav files generated. Add asset folder with manito.wav inside. Add env.example. Update readme.md for clear instructions to follow.

src/qwen3-tts-6b/main.py

@@ -0,0 +1,42 @@
+import time
+import numpy as np
+import soundfile as sf
+import sounddevice as sd
+import torch
+from qwen_tts import Qwen3TTSModel
+
+model = Qwen3TTSModel.from_pretrained(
+    "Qwen/Qwen3-TTS-12Hz-0.6B-Base",
+    device_map="cpu",
+    dtype=torch.float32,
+)
+
+prompt = model.create_voice_clone_prompt(
+    ref_audio="../../assets/manito.wav",
+    ref_text="¡Hola! Me llamo Manito y me encanta aprender contigo. ¿Jugamos un rato? Vamos a descubrir colores, formas y números juntos.",
+)
+
+texto = "¡Hola! Me llamo Manito y me encanta aprender contigo. ¿Jugamos un rato? Vamos a descubrir colores, formas y números juntos."
+t0 = time.time()
+primero = None
+chunks = []
+
+for chunk, sr in model.stream_generate_voice_clone(
+    text=texto,
+    language="Spanish",
+    voice_clone_prompt=prompt,
+    emit_every_frames=4,
+    decode_window_frames=80,
+    overlap_samples=0,
+):
+    if primero is None:
+        primero = time.time() - t0
+    chunks.append(np.asarray(chunk, dtype=np.float32))
+
+total = time.time() - t0
+audio = np.concatenate(chunks)
+dur = len(audio) / sr
+sf.write("../../outputs/qwen3-tts-6b/qwen_stream.wav", audio, sr)
+print(f"primer chunk {primero:.2f}s | total {total:.2f}s | audio {dur:.2f}s | RTF {total/dur:.2f} | chunks {len(chunks)}")
+sd.play(audio, sr)
+sd.wait()