Rodrigo Rodriguez (Pragmatismo)
037db5c381
- Add comprehensive documentation in botbook/ with 12 chapters - Add botapp/ Tauri desktop application - Add botdevice/ IoT device support - Add botlib/ shared library crate - Add botmodels/ Python ML models service - Add botplugin/ browser extension - Add botserver/ reorganized server code - Add bottemplates/ bot templates - Add bottest/ integration tests - Add botui/ web UI server - Add CI/CD workflows in .forgejo/workflows/ - Add AGENTS.md and PROD.md documentation - Add dependency management scripts (DEPENDENCIES.sh/ps1) - Remove legacy src/ structure and migrations - Clean up temporary and backup files
50 lines
No EOL
1.1 KiB
Python
50 lines
No EOL
1.1 KiB
Python
import logging
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import azure.functions as func
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import os
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#os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'
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from allennlp.predictors.predictor import Predictor
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import json
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logging.info('Starting General Bots Models server.')
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# https://ai.google.com/research/NaturalQuestions
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predictor = None
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from flask import Flask, render_template, request
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import hmac
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app = Flask(__name__)
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@app.route("/reading-comprehension", methods=['POST'])
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def index():
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logging.info('General Bots QA.')
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content = request.form.get('content')
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question = request.args.get('question')
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key = request.args.get('key')
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if not hmac.compare_digest(key, 'starter'):
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return 'Invalid key.'
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global predictor
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if predictor is None:
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predictor = Predictor.from_path("https://storage.googleapis.com/allennlp-public-models/transformer-qa-2020-10-03.tar.gz")
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answer = predictor.predict(
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passage=content,
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question=question
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)['best_span_str']
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if answer:
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return answer
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else:
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return "No answers for this question."
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app.run(debug=True)
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