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Update app.py
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app.py
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@@ -2,14 +2,15 @@ import gradio as gr
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import torch
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import torchvision
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from transformers import pipeline
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# Initialize the pipeline
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pipe = pipeline(
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"text-generation",
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model="DataIntelligenceTeam/mistral_7B_NER",
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torch_dtype=torch.bfloat16,
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device_map="auto"
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)
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# Function to generate output based on input
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def generate_output(input_text):
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import torch
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import torchvision
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from transformers import pipeline
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auth_token = os.environ.get("HUGGING_FACE_HUB_TOKEN")
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# Initialize the pipeline
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pipe = pipeline(
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"text-generation",
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model="DataIntelligenceTeam/mistral_7B_NER",
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torch_dtype=torch.bfloat16,
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device_map="auto",
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use_auth_token=auth_token)
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# Function to generate output based on input
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def generate_output(input_text):
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