Update app.py

app.py

@@ -8,6 +8,7 @@ pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization",use_auth_toke
 def diarization(inp_audio):
     diarization = pipeline(inp_audio)
     speakertime=[]
+    output=""
 # print the result
     for turn, _, speaker in diarization.itertracks(yield_label=True):
         details=[turn.start,turn.end,speaker]
@@ -15,6 +16,7 @@ def diarization(inp_audio):
         #print(turn.start)
         #print(speaker)
         print(f"start={turn.start:.1f}s stop={turn.end:.1f}s speaker_{speaker}")
+        output=output+f"start={turn.start:.1f}s stop={turn.end:.1f}s speaker_{speaker}"+"\n"
     #print(speakertime)
     df = pd.DataFrame(speakertime,columns=['start', 'end','speaker'])
     text=[]
@@ -25,6 +27,8 @@ def diarization(inp_audio):
       for i in range (df.start.count()):
           my_file.write(df.speaker[i]+": " +df.text[i] + '\n')
     print(open("my_file.txt","r").read())
+    return output
+    
 
 
 def generatetext(filename,starttime,endtime):