Create transcript.py

transcript.py

@@ -0,0 +1,34 @@
+# import os
+# from dotenv import load_dotenv
+from groq import Groq
+
+# Load environment variables from .env file
+# load_dotenv()
+
+# Initialize the Groq client
+client = Groq(
+    api_key='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',
+)
+
+def transcribe_audio(filename):
+    """Transcribe the audio file and return the transcription text."""
+    # Open the audio file
+    with open(filename, "rb") as file:
+        # Create a transcription of the audio file
+        transcription = client.audio.transcriptions.create(
+            file=(filename, file.read()),  # Required audio file
+            model="whisper-large-v3",  # Required model to use for transcription
+            prompt="",  # Optional
+            response_format="json",  # Optional
+            language="en",  # Optional
+            temperature=0.0  # Optional
+        )
+        
+        # Return the transcription text
+        return transcription.text  # Access the 'text' property
+
+# Example usage (you can remove this part later)
+if __name__ == "__main__":
+    filename = "/Users/sydneydu/Projects/ConcertBuddy/blankspacetrimmed.mp3"
+    transcription_text = transcribe_audio(filename)
+    print(transcription_text)  # Print the extracted text for testing