Q: Are you trying to use whisper on your Mac instead of a Google Colab?
Short answer:
model.transcribe(file, fp16=False)Example:
import whisper
import time
model = whisper.load_model("base")
start = time.time()
file = "my_video.mp4"
print(f"transcribing: {file}")
base_result = model.transcribe(file, fp16=False, language='English')
wc = len(base_result["text"].split(" "))
end = time.time()
total_seconds = end - start
print(f"total words: {wc}")
print(f"total seconds: {total_seconds}")
print(f"words/seconds: {wc}/{total_seconds}={wc/total_seconds}")
text = base_result['text']
print(text)
Source: https://github.com/openai/whisper/discussions/301