modified the transcribe analyzer function

app.py

@@ -16,18 +16,15 @@ def run_gradio():
     transcriber = pipeline(model="openai/whisper-large-v2", return_timestamps=True)
 
     # Agentic function
+
     def transcribe_and_analyze(audio):
         result = transcriber(audio)
         transcript = result["text"]
 
         word_count = len(transcript.split())
         char_count = len(transcript.replace(" ", ""))
-
-        return {
-            "Transcript": transcript,
-            "Word Count": word_count,
-            "Character Count": char_count
-        }
+        
+        return transcript, word_count, char_count
 
     # Gradio UI
     with gr.Blocks(title="Whisper Agentic Transcriber") as demo: