update pipe

app.py

@@ -68,17 +68,17 @@ def summarize_transcription(transcription, model, gemini_prompt):
 def process_audio(audio_file, language):
     print("Starting transcription...")
 
-    with open(audio_file, "rb") as f:
-            inputs = f.read()
-
-    inputs = ffmpeg_read(inputs, pipe.feature_extractor.sampling_rate)
-    inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
-
     if device == 0:
         pipe = load_pipeline(whisper_model)
     else:
         pipe = load_pipeline("openai/whisper-tiny")
 
+    with open(audio_file, "rb") as f:
+            inputs = f.read()
+            
+    inputs = ffmpeg_read(inputs, pipe.feature_extractor.sampling_rate)
+    inputs = {"array": inputs, "sampling_rate": pipe.feature_extractor.sampling_rate}
+
     if language:
         print(f"Using language: {language}")
         transcription = pipe(inputs, batch_size=8, generate_kwargs={"task": "transcribe", "language": language}, return_timestamps=True)["text"]