Spaces:
Runtime error
Runtime error
update gradio server
Browse files- Dockerfile +1 -1
- gradio_ner.py +5 -3
- requirements.txt +1 -1
Dockerfile
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
|
2 |
# you will also find guides on how best to write your Dockerfile
|
3 |
-
|
4 |
FROM python:3.11.5
|
5 |
|
6 |
WORKDIR /code
|
|
|
1 |
# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
|
2 |
# you will also find guides on how best to write your Dockerfile
|
3 |
+
# https://huggingface.co/spaces/sayakpaul/demo-docker-gradio/blob/main/Dockerfile
|
4 |
FROM python:3.11.5
|
5 |
|
6 |
WORKDIR /code
|
gradio_ner.py
CHANGED
@@ -1,5 +1,6 @@
|
|
1 |
-
from transformers import pipeline
|
2 |
import gradio as gr
|
|
|
|
|
3 |
|
4 |
examples = [
|
5 |
"""
|
@@ -76,6 +77,8 @@ model_checkpoint = "aimlnerd/bert-finetuned-legalentity-ner"
|
|
76 |
ner_pipeline = pipeline(
|
77 |
"token-classification", model=model_checkpoint, aggregation_strategy="simple"
|
78 |
)
|
|
|
|
|
79 |
|
80 |
def ner(text):
|
81 |
output = ner_pipeline(text)
|
@@ -86,5 +89,4 @@ demo = gr.Interface(ner,
|
|
86 |
gr.HighlightedText(),
|
87 |
examples=examples)
|
88 |
|
89 |
-
demo.launch(
|
90 |
-
print()
|
|
|
|
|
1 |
import gradio as gr
|
2 |
+
import logging
|
3 |
+
from transformers import pipeline
|
4 |
|
5 |
examples = [
|
6 |
"""
|
|
|
77 |
ner_pipeline = pipeline(
|
78 |
"token-classification", model=model_checkpoint, aggregation_strategy="simple"
|
79 |
)
|
80 |
+
logging.info(f"NER pipeline initialized with checkpoint {model_checkpoint}")
|
81 |
+
|
82 |
|
83 |
def ner(text):
|
84 |
output = ner_pipeline(text)
|
|
|
89 |
gr.HighlightedText(),
|
90 |
examples=examples)
|
91 |
|
92 |
+
demo.launch(server_name="0.0.0.0", server_port=7860)
|
|
requirements.txt
CHANGED
@@ -1,6 +1,6 @@
|
|
1 |
transformers[torch]==4.36.1
|
2 |
numpy==1.26.3
|
3 |
-
scikit-learn==1.3.2
|
4 |
matplotlib==3.8.2
|
5 |
datasets==2.16.1
|
6 |
evaluate==0.4.1
|
|
|
1 |
transformers[torch]==4.36.1
|
2 |
numpy==1.26.3
|
3 |
+
#scikit-learn==1.3.2
|
4 |
matplotlib==3.8.2
|
5 |
datasets==2.16.1
|
6 |
evaluate==0.4.1
|