Update app.py

app.py

@@ -15,31 +15,30 @@ def transcribe(audio_path):
     with open(audio_path, "rb") as audio_file:
         audio_data = audio_file.read()
 
-    # Groq API endpoint for audio transcription
-    groq_api_endpoint = "https://api.groq.com/openai/v1/audio/transcriptions"
+    def transcribe(audio_path):
+    with open(audio_path, "rb") as audio_file:
+        audio_data = audio_file.read()
 
+    groq_api_endpoint = "https://api.groq.com/openai/v1/audio/transcriptions"
     headers = {
-        "Authorization": "Bearer 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",
-    }
-
-    files = {
-        'file': ('audio.wav', audio_data, 'audio/wav'),
+        "Authorization": "Bearer YOUR_GROQ_API_KEY",  # Replace with your actual API key
     }
+    files = {'file': ('audio.wav', audio_data, 'audio/wav')}
     data = {
-        'model': 'whisper-large-v3-turbo',  
+        'model': 'whisper-large-v3-turbo',
         'response_format': 'json',
         'language': 'en',
     }
 
-    # Send audio to Groq API
+    # Send audio to Groq API and handle errors
     response = requests.post(groq_api_endpoint, headers=headers, files=files, data=data)
-
     if response.status_code == 200:
         result = response.json()
-        transcript = result.get("text", "No transcription available.")
-        return generate_notes(transcript)
+        return result.get("text", "No transcription available.")
     else:
-        return f"Error: {response.status_code}, {response.text}"
+        error_msg = response.json().get("error", {}).get("message", "Unknown error.")
+        return f"API Error: {error_msg}"
+
 
 # Function to generate notes and questions
 def generate_notes(transcript):