82 lines
1.9 KiB
Python
Executable file
82 lines
1.9 KiB
Python
Executable file
from flask import Flask, request, render_template
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from api import API
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from voice_recognition import Voice
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import sys
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import threading
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from PyQt5.QtCore import *
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from PyQt5.QtWebEngineWidgets import *
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from PyQt5.QtWidgets import *
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APP = Flask(__name__)
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api = API()
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voice = Voice()
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messages = []
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# The following method shows the user the GUI and does the backend connections to the API.
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@APP.route('/', methods=['GET', 'POST'])
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def index():
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global messages
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system_prompt = 'You are a helpful assistant.'
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system = 'Your system prompt is: \"'+system_prompt+'\" The following is your chat log so far: \n'
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if request.method == 'POST':
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option = request.form['option']
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user_message = request.form['user_message']
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if option == "voice":
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user_message = voice.listen()
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messages.append(f"User: {user_message}")
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elif option == "chat":
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messages.append(f"User: {user_message}")
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for line in messages:
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system += line + '\n'
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system += "The chat log is now finished."
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ai_response = "AI: " + api.send_message(user_message, 4, system)
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messages.append(ai_response)
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return render_template('index.html', messages=messages)
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@APP.route('/faq')
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def faq():
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return render_template('faq.html')
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@APP.route('/documentation')
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def contact():
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return render_template('documentation.html')
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if __name__ == '__main__':
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qapp = QApplication(sys.argv)
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view = QWebEngineView()
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view.setGeometry(100, 100, 1280, 720)
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view.setWindowTitle("InterstellarAI")
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view.setUrl(QUrl("http://localhost:5000"))
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view.show()
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def run_flask():
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APP.run()
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def stop_flask():
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thread.join()
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qapp.quit()
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thread = threading.Thread(target=run_flask)
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thread.daemon = True
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thread.start()
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qapp.aboutToQuit.connect(stop_flask)
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sys.exit(qapp.exec_())
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