Upload RunWhisper.cs

RunWhisper.cs

@@ -100,9 +100,17 @@ public class RunWhisper : MonoBehaviour
         if(audioClip.frequency != 16000)
         {
             Debug.Log($"The audio clip should have frequency 16kHz. It has frequency {audioClip.frequency / 1000f}kHz");
+            return;
         }
 
         numSamples = audioClip.samples;
+
+        if (numSamples > maxSamples)
+        {
+            Debug.Log($"The AudioClip is too long. It must be less than 30 seconds. This clip is {numSamples/ audioClip.frequency} seconds.");
+            return;
+        }
+
         data = new float[numSamples];
         audioClip.GetData(data, 0);
     }
@@ -122,11 +130,6 @@ public class RunWhisper : MonoBehaviour
     void EncodeAudio()
     {
         using var input = new TensorFloat(new TensorShape(1, numSamples), data);
-        if (numSamples > maxSamples)
-        {
-            Debug.Log("The AudioClip is too long.");
-            return;
-        }
 
         // Pad out to 30 seconds at 16khz if necessary
         using var input30seconds = ops.Pad(input, new int[] { 0, 0, 0, maxSamples - numSamples });
@@ -160,8 +163,7 @@ public class RunWhisper : MonoBehaviour
 
             int ID = tokensPredictions[currentToken];
 
-            currentToken++;
-            outputTokens[currentToken] = ID;
+            outputTokens[++currentToken] = ID;
 
             if (ID == END_OF_TEXT)
             {