Update app.py
Browse files
app.py
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@@ -1,9 +1,15 @@
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import gradio as gr
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from transformers import pipeline
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# Load the sentiment analysis pipeline from Hugging Face
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model = pipeline("sentiment-analysis",
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model="nlptown/bert-base-multilingual-uncased-sentiment"
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# Function to get sentiment prediction
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def analyze_sentiment(text):
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import gradio as gr
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from transformers import pipeline
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import torch
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# Detect GPU availability and set the device
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device = 0 if torch.cuda.is_available() else -1
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print(f"Using device: {'GPU' if torch.cuda.is_available() else 'CPU'}")
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# Load the sentiment analysis pipeline from Hugging Face
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model = pipeline("sentiment-analysis",
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model="nlptown/bert-base-multilingual-uncased-sentiment",
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device=device)
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# Function to get sentiment prediction
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def analyze_sentiment(text):
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