Update app.py

app.py

@@ -1,8 +1,25 @@
 import gradio as gr
+import re
 
-whisper = gr.load("models/openai/whisper-small")
+# Define the regex pattern to extract text
+pattern = r'text=["\'](.*?)["\'],\s*chunks=None'
+
+# Load the Whisper model
+whisper = gr.load("models/openai/whisper-large-v3-turbo")
 
 def transcribe(audio):
-    return whisper(audio).replace("AutomaticSpeechRecognitionOutput(text=' ", "").replace("', chunks=None)", "")
+    # Transcribe the audio using Whisper
+    result = whisper(audio)
+    
+    # Use re.search to find the match
+    match = re.search(pattern, result)
+    
+    if match:
+        # Access the captured group (the content inside the quotes)
+        captured_text = match.group(1)
+        return captured_text
+    else:
+        return result
 
-gr.Interface(transcribe, gr.Audio(type="filepath"), gr.Textbox()).launch()
+# Define the Gradio interface
+gr.Interface(fn=transcribe, inputs=gr.Audio(type="filepath"), outputs=gr.Textbox()).launch()