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update gradio server
Browse files- Dockerfile +1 -1
- gradio_ner.py +5 -3
- requirements.txt +1 -1
Dockerfile
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@@ -1,6 +1,6 @@
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# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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# you will also find guides on how best to write your Dockerfile
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-
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FROM python:3.11.5
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WORKDIR /code
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# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
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# you will also find guides on how best to write your Dockerfile
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# https://huggingface.co/spaces/sayakpaul/demo-docker-gradio/blob/main/Dockerfile
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FROM python:3.11.5
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WORKDIR /code
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gradio_ner.py
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from transformers import pipeline
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import gradio as gr
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examples = [
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"""
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@@ -76,6 +77,8 @@ model_checkpoint = "aimlnerd/bert-finetuned-legalentity-ner"
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ner_pipeline = pipeline(
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"token-classification", model=model_checkpoint, aggregation_strategy="simple"
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)
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def ner(text):
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output = ner_pipeline(text)
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@@ -86,5 +89,4 @@ demo = gr.Interface(ner,
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gr.HighlightedText(),
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examples=examples)
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demo.launch(
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print()
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import gradio as gr
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import logging
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from transformers import pipeline
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examples = [
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"""
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ner_pipeline = pipeline(
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"token-classification", model=model_checkpoint, aggregation_strategy="simple"
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)
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logging.info(f"NER pipeline initialized with checkpoint {model_checkpoint}")
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def ner(text):
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output = ner_pipeline(text)
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gr.HighlightedText(),
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examples=examples)
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demo.launch(server_name="0.0.0.0", server_port=7860)
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requirements.txt
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transformers[torch]==4.36.1
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numpy==1.26.3
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scikit-learn==1.3.2
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matplotlib==3.8.2
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datasets==2.16.1
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evaluate==0.4.1
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transformers[torch]==4.36.1
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numpy==1.26.3
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#scikit-learn==1.3.2
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matplotlib==3.8.2
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datasets==2.16.1
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evaluate==0.4.1
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