Update app.py
Browse files
app.py
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@@ -4,9 +4,6 @@ from transformers import (
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pipeline, # For creating inference pipeline
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)
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from colorama import Fore, Style # For colored console output
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import pandas as pd # For data handling
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import time
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from datetime import datetime
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import matplotlib.pyplot as plt
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import gradio as gr
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@@ -23,7 +20,6 @@ tokenizer = AutoTokenizer.from_pretrained("borisn70/bert-43-multilabel-emotion-d
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pipe = pipeline(task="text-classification", model=emotionDetectModel, tokenizer=tokenizer)
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face_emotion_detector = FER()
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cap = cv2.VideoCapture(0)
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localFormat = "%Y-%m-%d %H:%M:%S" #this is how will print the timestamp: year-month-day hour-minutes-seconds (army time)
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#currTime = datetime.now().astimezone().strftime(localFormat) this returns the time in the localFormat
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pipeline, # For creating inference pipeline
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)
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from datetime import datetime
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import matplotlib.pyplot as plt
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import gradio as gr
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pipe = pipeline(task="text-classification", model=emotionDetectModel, tokenizer=tokenizer)
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face_emotion_detector = FER()
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localFormat = "%Y-%m-%d %H:%M:%S" #this is how will print the timestamp: year-month-day hour-minutes-seconds (army time)
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#currTime = datetime.now().astimezone().strftime(localFormat) this returns the time in the localFormat
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