Rename

README.md

@@ -1,5 +1,5 @@
 ---
-title: GrAImmarian
+title: GrammASRian
 emoji: 🗣️
 colorFrom: purple
 colorTo: blue

app.py

@@ -47,6 +47,7 @@ def transcribe_live(state, words_list, new_chunk):
 
     try:
         new_transcription = transcriber({"sampling_rate": sr, "raw": stream})
+        print(f"new transcription: {new_transcription}")
     except Exception as e:
         gr.Error(f"Transcription failed. Error: {e}")
         print(f"Transcription failed. Error: {e}")
@@ -105,7 +106,20 @@ with gr.Blocks() as demo:
             "counts_of_words": {},
         }
     )
-    filler_words = gr.Textbox(label="List of filer words", value="like, so, you know")
+
+    gr.Markdown(
+        """
+        # GrammASRian
+
+        This app transcribes your speech in real-time and counts the number of filler words you use.
+
+        The intended use case is to help you become more aware of the filler words you use, so you can reduce them and improve your speech.
+
+        It uses the OpenAI Whisper model for transcription on a streaming configuration.
+        """
+    )
+
+    filler_words = gr.Textbox(label="List of filer words", value="like, so, you know", info="Enter a comma-separated list of words to check for")
     recording = gr.Audio(streaming=True, label="Recording")
 
     word_counts = gr.JSON(label="Filler words count", value={})
@@ -129,4 +143,4 @@ with gr.Blocks() as demo:
         time_limit=-1,
     )
 
-demo.launch(show_error=True)
+demo.launch()