Update app.py

app.py

@@ -11,23 +11,21 @@ from groq import Groq
 # Load environment variables from .env file
 # load_dotenv()
 
-client = Groq(
-    api_key="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",
-)
-
 def song_history(message):
     question = "Tell me the history or a fun fact of the song (in a single line!): " + message
     completion = client.chat.completions.create(
         model="llama3-8b-8192",
-        messages=[question],
+        messages=[
+            SystemMessage(content="You are a professor of music at Berklee College of Music. Your students are asking you questions about the historical context and musical significance of songs they listened to. Please structure the output as a json with the format {'historical': historical significance of song, 'musical': special musical characteristics of the song, 'instrumentation': [instrument 1, instrument 2, ...], 'tempo': tempo of the song, 'key': key of the song}, 'genre': genre of the song"),
+            UserMessage(content="Please explain the historical and musical significance of " + message + ". Please also break down the instruments used in the song."),
+        ],
         temperature=1,
         max_completion_tokens=1024,
         top_p=1,
         stream=True,
         stop=None,
     )
-    for chunk in completion:
-        return chunk.choices[0].delta.content or ""
+    return completion.choices[0].message.content
 
 def analyze_song(mp3_file):
     # Call the transcription function and get the transcription
@@ -61,8 +59,8 @@ def analyze_song(mp3_file):
     instrumentation = "Sample Instrumentation"
     lyrics = transcription  # Use the transcription as lyrics
     tempo_key = "Sample Tempo/Key"
-    history = "History"
-    history = song_history(title)
+    # history = "History"
+    history = "song_history(title)"
     return title, artist, genre, instrumentation, lyrics, tempo_key, history, image_url  # Return the mp3 file for replay
 
 # Custom CSS to set a fun musical theme image as background