fixed bugs in app code

app.py

@@ -17,17 +17,21 @@ def process_audio(audio, state=collections.defaultdict(partial(collections.deque
         data = scipy.signal.resample(audio[1], int(float(audio[1].shape[0])/audio[0]*16000))    
     
     # Get predictions
-    for i in range(0, len(data), 1280):
-        chunk = data[i:i+1280]
-        if len(chunk) == 1280:
+    for i in range(0, data.shape[0], 1280):
+        if len(data.shape) == 2 or data.shape[-1] == 2:
+            chunk = data[i:i+1280][:, 0]  # just get one channel of audio
+        else:
+            chunk = data[i:i+1280]
+
+        if chunk.shape[0] == 1280:
             prediction = model.predict(chunk)
-        for key in prediction:
-            #Fill deque with zeros if it's empty
-            if len(state[key]) == 0:
-                state[key].extend(np.zeros(60))
-                
-            # Add prediction
-            state[key].append(prediction[key])
+            for key in prediction:
+                #Fill deque with zeros if it's empty
+                if len(state[key]) == 0:
+                    state[key].extend(np.zeros(60))
+                    
+                # Add prediction
+                state[key].append(prediction[key])
     
     # Make line plot
     dfs = []
@@ -68,6 +72,8 @@ you should see a spike in the score for a given model after speaking a related w
 | --- | --- |
 | alexa | "alexa" |
 | hey_mycroft | "hey mycroft"|
+| hey_jarvis | "hey jarvis"|
+| hey_rhasspy | "hey rhasspy"|
 | weather | "what's the weather", "tell me today's weather" |
 | x_minute_timer | "set a timer for 1 minute", "create 1 hour alarm" |