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from flask import Flask, render_template, request, jsonify | |
import requests | |
from dotenv import load_dotenv | |
import os | |
# import namespaces | |
from azure.core.credentials import AzureKeyCredential | |
from azure.ai.language.questionanswering import QuestionAnsweringClient | |
app = Flask(__name__) | |
# Azure Bot Service configuration | |
AZURE_BOT_ENDPOINT = "https://iti109-sectionb.cognitiveservices.azure.com/" | |
AZURE_BOT_KEY = "2ou0CMAjUutj0D4In8U8AkxEIXtCrvYFOBMhqSW4rZ7x6yZ033GdJQQJ99ALACqBBLyXJ3w3AAAaACOGtVJj" | |
# Get Configuration Settings | |
load_dotenv() | |
ai_endpoint = os.getenv('AI_SERVICE_ENDPOINT') | |
ai_key = os.getenv('AI_SERVICE_KEY') | |
ai_project_name = os.getenv('QA_PROJECT_NAME') | |
ai_deployment_name = os.getenv('QA_DEPLOYMENT_NAME') | |
# Create client using endpoint and key | |
credential = AzureKeyCredential(ai_key) | |
ai_client = QuestionAnsweringClient(endpoint=ai_endpoint, credential=credential) | |
def home(): | |
return render_template('index.html') # HTML file for the web interface | |
def ask_bot(): | |
user_question = request.json.get("question", "") | |
if not user_question: | |
return jsonify({"error": "No question provided"}), 400 | |
# Call Azure QnA | |
#response = ai_client.get_answers(question=user_question,project_name=ai_project_name,deployment_name=ai_deployment_name) | |
try: | |
response = ai_client.get_answers(question=user_question, | |
project_name=ai_project_name, | |
deployment_name=ai_deployment_name) | |
#response = requests.post(AZURE_BOT_ENDPOINT, headers=headers, json=data) | |
#@response.raise_for_status() | |
bot_response = response.answers[0].answer if response.answers else "No response from bot" | |
return jsonify({"answer": bot_response}) | |
except requests.exceptions.RequestException as e: | |
return jsonify({"error": str(e)}), 500 | |
if __name__ == '__main__': | |
app.run(debug=True) | |