Update app.py

app.py

@@ -2,8 +2,8 @@ import gradio as gr
 import pandas as pd
 from pyannote.audio import Pipeline
 pipeline = Pipeline.from_pretrained("pyannote/speaker-diarization",use_auth_token="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")
-def diarization():
-    diarization = pipeline("result.wav")
+def diarization(inp_audio):
+    diarization = pipeline(inp_audio)
     speakertime=[]
 # print the result
     for turn, _, speaker in diarization.itertracks(yield_label=True):
@@ -16,7 +16,7 @@ def diarization():
     df = pd.DataFrame(speakertime,columns=['start', 'end','speaker'])
     text=[]
     for i in range (df.start.count()):
-        text.append(generatetext("result.wav",df.start[i], df.end[i]))
+        text.append(generatetext(inp_audio,df.start[i], df.end[i]))
     df['text']=text
     with open('my_file.txt', 'w') as my_file:
       for i in range (df.start.count()):