Merge pull request #20 from AustinMroz/main

Simplify audio_for_vhs output

nodes.py

@@ -289,38 +289,6 @@ class TangoFluxVAEDecodeAndPlay:
             log.warning("OOM encountered. Falling back to tiled decoding.")
             return self.decode_tiled(vae, latents, tile_size)
         
-    def load_audio_for_vhs(self, file, sample_rate):
-        try:
-            from imageio_ffmpeg import get_ffmpeg_exe
-            ffmpeg_path = get_ffmpeg_exe()
-        except:
-            pass
-        
-        ffmpeg_path = shutil.which("ffmpeg")
-        if not ffmpeg_path:
-            if os.path.isfile("ffmpeg"):
-                ffmpeg_path = os.path.abspath("ffmpeg")
-            elif os.path.isfile("ffmpeg.exe"):
-                ffmpeg_path = os.path.abspath("ffmpeg.exe")
-        
-        if not ffmpeg_path:
-            log.error("No valid ffmpeg found")
-            return None
-                
-        args = [ffmpeg_path, "-i", file]
-        
-        try:
-            res =  subprocess.run(args + ["-f", "f32le", "-"],
-                                capture_output=True, check=True)
-            audio = torch.frombuffer(bytearray(res.stdout), dtype=torch.float32)
-        except subprocess.CalledProcessError:
-            log.error("Couldn't export audio")
-            return None
-        
-        audio = audio.reshape((-1, 2)).transpose(0, 1).unsqueeze(0)
-        
-        return {"waveform": audio, "sample_rate": sample_rate}
-
     def play(
         self,
         vae,
@@ -381,8 +349,7 @@ class TangoFluxVAEDecodeAndPlay:
             
             pbar.update(1)
         
-        first_file = os.path.join(full_output_folder, audios[0]["filename"])
-        audio_for_vhs = self.load_audio_for_vhs(first_file, 44100)
+        audio_for_vhs = {"waveform": waves[:1], "sample_rate": 44100}
 
         return {
             "ui": {"audios": audios},