Update app.py

app.py

@@ -1,15 +1,23 @@
 
+from fastapi import FastAPI
 from pyannote.audio.pipelines import SpeakerDiarization
 import os
 from pyannote.core import Segment
 import torch
 
-# Load the speaker diarization model
-pipeline = SpeakerDiarization.from_pretrained("pyannote/speaker-diarization", use_auth_token="hf_"+os.getenv('ID'))
+app = FastAPI()
 
-# Apply diarization
-diarization = pipeline("sample.mp3")
+@app.get("/")
+def read_root():
+    # Load the speaker diarization model
+    pipeline = SpeakerDiarization.from_pretrained("pyannote/speaker-diarization", use_auth_token="hf_"+os.getenv('ID'))
+
+    # Apply diarization
+    diarization = pipeline("sample.mp3")
+
+    # Print speaker segments
+    for turn, _, speaker in diarization.itertracks(yield_label=True):
+        print(f"Speaker {speaker}: {turn.start:.1f}s --> {turn.end:.1f}s")
+
+    return {"Hello": "World!"}
 
-# Print speaker segments
-for turn, _, speaker in diarization.itertracks(yield_label=True):
-    print(f"Speaker {speaker}: {turn.start:.1f}s --> {turn.end:.1f}s")