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from flask import Flask, render_template, request, jsonify, send_file
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import requests
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from dotenv import load_dotenv
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import os
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from azure.core.credentials import AzureKeyCredential
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from azure.ai.language.questionanswering import QuestionAnsweringClient
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from azure.cognitiveservices.speech import SpeechConfig, SpeechSynthesizer, AudioConfig
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from azure.cognitiveservices.speech.audio import AudioOutputConfig
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app = Flask(__name__)
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AZURE_BOT_ENDPOINT = "https://iti109-sectionb.cognitiveservices.azure.com/"
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AZURE_BOT_KEY = "2ou0CMAjUutj0D4In8U8AkxEIXtCrvYFOBMhqSW4rZ7x6yZ033GdJQQJ99ALACqBBLyXJ3w3AAAaACOGtVJj"
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load_dotenv()
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ai_endpoint = os.getenv('AI_SERVICE_ENDPOINT')
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ai_key = os.getenv('AI_SERVICE_KEY')
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ai_project_name = os.getenv('QA_PROJECT_NAME')
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ai_deployment_name = os.getenv('QA_DEPLOYMENT_NAME')
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speech_key = os.getenv('SPEECH_KEY')
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speech_region = os.getenv('SPEECH_REGION')
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credential = AzureKeyCredential(ai_key)
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ai_client = QuestionAnsweringClient(endpoint=ai_endpoint, credential=credential)
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@app.route('/')
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def home():
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return render_template('index.html')
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@app.route('/ask', methods=['POST'])
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def ask_bot():
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user_question = request.json.get("question", "")
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if not user_question:
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return jsonify({"error": "No question provided"}), 400
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try:
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response = ai_client.get_answers(question=user_question,
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project_name=ai_project_name,
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deployment_name=ai_deployment_name)
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bot_response = response.answers[0].answer if response.answers else "No response from bot"
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speech_config = SpeechConfig(subscription=speech_key, region=speech_region)
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audio_config = AudioConfig(filename="response.wav")
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synthesizer = SpeechSynthesizer(speech_config=speech_config, audio_config=audio_config)
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synthesizer.speak_text(bot_response)
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return jsonify({"answer": bot_response, "audio": "/response.wav"})
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except requests.exceptions.RequestException as e:
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return jsonify({"error": str(e)}), 500
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@app.route('/response.wav')
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def get_audio():
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return send_file("response.wav", mimetype="audio/wav")
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if __name__ == '__main__':
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app.run(debug=True)
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