Update app.py

app.py

@@ -163,8 +163,8 @@ def transcribe(audio, state=""):
         if type(transcriptions) == tuple and len(transcriptions) == 2:
             transcriptions = transcriptions[0]
         transcriptions = transcriptions[0]
+    store_message(transcriptions, state) # Save to dataset
     state = state + transcriptions + " "
-    store_message(state, state) # Save to dataset
     return state, state
 
 iface = gr.Interface(
@@ -172,17 +172,23 @@ iface = gr.Interface(
     inputs=[
         gr.Audio(source="microphone", type='filepath', streaming=True),
         "state",
+        gr.Image(label="Webcam", source="webcam"),
+        gr.File(label="File"),
     ],
     outputs=[
         "textbox",
         "state",
+        gr.HighlightedText(label="HighlightedText", color_map={"punc": "pink", "test 0": "blue"}),
+        gr.HighlightedText(label="HighlightedText", show_legend=True),
+        gr.JSON(label="JSON"),
+        gr.HTML(label="HTML"),
     ],
     layout="horizontal",
     theme="huggingface",
     title="🗣️LiveSpeechRecognition🧠Memory💾",
-    description="Demo for English speech recognition using Conformer Transducers",
+    description="Live Automatic Speech Recognition (ASR) with Memory💾 Dataset: [{DATASET_REPO_URL}]({DATASET_REPO_URL})"",
     allow_flagging='never',
     live=True,    
-    article=f"Memory💾 Dataset: [{DATASET_REPO_URL}]({DATASET_REPO_URL})"
+    article=f"Result Output Saved to Memory💾 Dataset: [{DATASET_REPO_URL}]({DATASET_REPO_URL})"
 )
 iface.launch()