DERIVAÇÃO FUNCIONAL DA FASE 6 PROJETO LILITI STK I.A 3.6.9

[felipeliliti]

1. ChatGPT Aurora SaúdeMais

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

2. ChatGPT Aurora BemViva

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

3. ChatGPT Aurora EducaFácil

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

4. ChatGPT Aurora GuiaClasse

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

5. ChatGPT Aurora SegurançaJá

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

6. ChatGPT Aurora AlertaRápido

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

7. ChatGPT Aurora DirijaBem

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

8. ChatGPT Aurora RotaCerta

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

9. ChatGPT Aurora EnergiaPura

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

10. ChatGPT Aurora EcoEnergia

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

11. ChatGPT Aurora AgroSmart

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

12. ChatGPT Aurora PrevisãoVerde

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

13. ChatGPT Aurora VidaFacil

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

14. ChatGPT Aurora AmigoPessoal

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

15. ChatGPT Aurora FinanFácil

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

16. ChatGPT Aurora BizFacil

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('conversational', model='gpt-3.5-turbo')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['generated_text']})

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

17. ChatGPT Aurora TraduBot

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot = pipeline('translation_en_to_pt', model='Helsinki-NLP/opus-mt-en-pt')

@app.route('/chat', methods=['POST'])
def chat():
    user_input = request.json.get('message')
    response = chatbot(user_input)
    return jsonify({'response': response[0]['translation_text']})

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

18. ChatGPT Aurora ConteúdoPro

from flask import Flask, request, jsonify
from transformers import pipeline

app = Flask(__name__)
chatbot