towerapi.py

from flask import Flask, jsonify, request

app = Flask(__name__)

# Custom PROMPT route
@app.route('/ProjectedIncome', methods=['PROMPT'])
def handle_prompt():
    # Create your JSON response data
    response_data = {
    "context": "The user is inquiring about the projected income of the ABC company from its operations in California for the next year.",
    "prompt": "What is the projected income of the ABC company from its California operations for next year?",
    "examples": [
        {"prompt": "Can you provide an estimate of the income of the ABC company from its California operations for the upcoming year?"},
        {"prompt": "What is the projected revenue of the ABC company's California operations for next year?"}
    ]
}
@app.route('/ProjectedIncome', methods=['VALIDATE'])
def handle_validate(data):
    # Create your JSON response data
    #validate the response format with the schema expected. 
    pass
@app.route('/ProjectedIncome', methods=['POST'])
def handle_completion(data):
    # Create your JSON response data
    #Save the data received from the AI response and send to another integration point
    pass
@app.route('/ProjectedIncome', methods=['TRAIN'])
def handle_train():
    #respond with training data for shorts if required for this ProjectIncome
    pass
# Run the application


if __name__ == '__main__':
    app.run()