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Duplicate from sivakornchong/name_gender_BERT
Browse filesCo-authored-by: SIVAKORN CHONGFEUNGPRINYA <sivakornchong@users.noreply.huggingface.co>
- .gitattributes +34 -0
- .gitignore +1 -0
- README.md +13 -0
- app.py +15 -0
- gender_v1_freezebert.h5 +3 -0
- main.py +33 -0
- requirements.txt +6 -0
.gitattributes
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.gitignore
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./h5
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README.md
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---
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title: Name Gender BERT
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emoji: 🏃
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colorFrom: red
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colorTo: blue
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sdk: gradio
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sdk_version: 3.23.0
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app_file: app.py
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pinned: false
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duplicated_from: sivakornchong/name_gender_BERT
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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from main import main_fn
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iface = gr.Interface(
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fn=main_fn,
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inputs= [
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gr.inputs.Textbox(type="text", label='Name')
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],
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outputs= [
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gr.outputs.Textbox(type="text", label='Gender'),
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# gr.outputs.Number(label = 'Percentage confidence')
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]
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)
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iface.launch()
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gender_v1_freezebert.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:da62d65566a82c6b846e56852812f384a5682978a573c0c9470aaaec71be1efa
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size 438157232
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main.py
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import os
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import pandas as pd
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# import keras
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import tensorflow as tf
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import tensorflow_hub as hub
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import tensorflow_text
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### This is to predict gender
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def main_fn(Name_):
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##Input structure into model is##
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filename = "gender_v1_freezebert.h5"
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if os.path.exists(filename):
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model = tf.keras.models.load_model((filename), custom_objects={'KerasLayer':hub.KerasLayer})
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print('loaded model')
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else:
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print('failed loading model')
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prob = model.predict([Name_])
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female_prob = prob[0][0]
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if female_prob>0.5:
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gender = 'female'
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prob = int(female_prob*100)
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else:
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gender = 'male'
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prob = int((1-female_prob)*100)
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final_text = f"{gender}_confidence at {prob}%"
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return final_text
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#To start returning the probability confidence at later stage
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if __name__ == "__main__":
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Name_ = 'John'
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final_text = main_fn(Name_)
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requirements.txt
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keras
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tensorflow
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pandas
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tensorflow-hub
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tensorflow-text
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# scikit-learn==1.0.2
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