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Runtime error
Runtime error
initial
Browse files- .gitignore +1 -0
- Dockerfile +2 -1
- app/main.py +26 -10
- requirements.txt +4 -3
.gitignore
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__pycache__
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Dockerfile
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@@ -7,4 +7,5 @@ RUN apt-get install git-lfs && git lfs install
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RUN git clone https://huggingface.co/sentence-transformers/quora-distilbert-multilingual model
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COPY . .
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ENV PYTHONPATH "${PYTHONPATH}:/code/app/"
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CMD ["uwsgi", "--http", "0.0.0.0:7860", "--master", "-p", "1", "-w", "app.main:app"]
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RUN git clone https://huggingface.co/sentence-transformers/quora-distilbert-multilingual model
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COPY . .
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ENV PYTHONPATH "${PYTHONPATH}:/code/app/"
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# CMD ["uwsgi", "--http", "0.0.0.0:7860", "--master", "-p", "1", "-w", "app.main:app"]
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CMD ["python3", "app/main.py"]
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app/main.py
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import sys
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import logging
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from similarity import LanguageModel, Similarity
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app = Flask(__name__)
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PRE_TRAINED_MODEL_PATH = './model'
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lm = LanguageModel(pre_trained_model_path=PRE_TRAINED_MODEL_PATH, max_len=1000)
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similarity = Similarity(featurize_fn=lm.featurize)
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@app.route('/getSimilarity/', methods=['GET', 'POST'])
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def process_request():
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response = {'similarity score': score}
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response = jsonify(response)
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response.headers.add("Access-Control-Allow-Origin", "*")
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return response
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if __name__ == "__main__":
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app.run(host="0.0.0.0", port=7860)
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import sys
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import logging
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import gradio as gr
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# from flask import Flask, jsonify, request
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from similarity import LanguageModel, Similarity
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# app = Flask(__name__)
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PRE_TRAINED_MODEL_PATH = './model'
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lm = LanguageModel(pre_trained_model_path=PRE_TRAINED_MODEL_PATH, max_len=1000)
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similarity = Similarity(featurize_fn=lm.featurize)
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# @app.route('/getSimilarity/', methods=['GET', 'POST'])
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# def process_request():
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# text1 = request.values.get('text1')
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# text2 = request.values.get('text2')
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# score = similarity.get_score(text1, text2)
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# response = {'similarity score': score}
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# response = jsonify(response)
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# response.headers.add("Access-Control-Allow-Origin", "*")
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# return response
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def process(text1, text2):
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score = similarity.get_score(text1, text2)
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response = {'similarity score': score}
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return response
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demo = gr.Interface(
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fn=process,
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inputs=[
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gr.Textbox(lines=2),
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gr.Textbox(lines=2),
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],
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outputs=gr.JSON(),
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)
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if __name__ == "__main__":
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# app.run(host="0.0.0.0", port=7860)
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demo.launch(share=False, server_name="0.0.0.0", server_port=7860)
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requirements.txt
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Werkzeug==2.3.7
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Flask==2.2.0
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torch==2.0.1
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numpy==1.23.5
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transformers==4.34.0
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# uvicorn==0.23.2
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uWSGI==2.0.21
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# Werkzeug==2.3.7
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# Flask==2.2.0
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torch==2.0.1
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numpy==1.23.5
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transformers==4.34.0
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# uvicorn==0.23.2
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# uWSGI==2.0.21
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gradio==3.47.1
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