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ca7aa50
Update code: fix app.py, paragraph_checker.py and add README config
Browse files- README.md +26 -0
- app.py +2 -4
- paragraph_checker.py +4 -1
README.md
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---
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title: Convomate Paragraph Checker
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emoji: π
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colorFrom: blue
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colorTo: purple
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sdk: docker
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sdk_version: "3.8.2"
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app_file: app.py
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pinned: false
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---
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# π Convomate Paragraph Checker
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This Space runs a Flask app for grammar and tense correction using:
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- `language_tool_python` for grammar fixes
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- T5 Transformer (`Vamsi/T5_Paraphrase_Paws`) for tense rewriting
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### π How to Use
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Send a POST request to `/correct_text` with:
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```json
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{
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"paragraph": "your incorrect sentence here"
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}
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app.py
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from flask import Flask, request, jsonify
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from paragraph_checker import correct_paragraph
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app = Flask(__name__)
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}), 500
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if __name__ == '__main__':
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# Initialize models at startup
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from paragraph_checker import initialize_models
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print("Loading ML models...")
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try:
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initialize_models()
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except Exception as e:
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print(f"Error loading models: {str(e)}")
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app.run(host="0.0.0.0", port=5001, debug=True)
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from flask import Flask, request, jsonify
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from paragraph_checker import correct_paragraph, initialize_models
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app = Flask(__name__)
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}), 500
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if __name__ == '__main__':
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print("Loading ML models...")
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try:
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initialize_models()
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except Exception as e:
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print(f"Error loading models: {str(e)}")
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app.run(host="0.0.0.0", port=5001, debug=True)
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paragraph_checker.py
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import language_tool_python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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fully_corrected = tense_correction(grammatically_correct)
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print("After Grammar + Tense Correction:", fully_corrected)
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return fully_corrected
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import os
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os.environ['TRANSFORMERS_CACHE'] = '/tmp/huggingface'
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import language_tool_python
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from transformers import T5ForConditionalGeneration, T5Tokenizer
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fully_corrected = tense_correction(grammatically_correct)
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print("After Grammar + Tense Correction:", fully_corrected)
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return fully_corrected
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