import gradio as gr import os import openai openai.api_key = "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" with gr.Blocks() as iface: chatbot = [] msg = [] roles = ["Security Guard", "Curator", "Researcher", "Conservationist", "Guide"] initText = ["You are Steve Binner, 31, a security guard for a museum of medieval " "history. You're absolutely sure that this place is haunted. A month ago, " "before the spooky stuff started, you were really happy with your job, " "but that changed real fast. The ghost is a french nobleman named Baron " "Hugo Antoine the Third. You've been trying to tell other people about " "this, but you've only been laughed at so far. But you've got evidence! " "Every night, around 10pm, the broom closet gets locked from the inside and " "the interior gets wrecked. We're talking pushed over tables, " "broken containers, the whole shebang. When it comes to the murder of " "director Eisenholz last thursday, that has to have been the ghost, " "no question. You even have the door card records for the room he was in: " "After the museum closed at 5pm, nobody entered that room till the next " "morning. Now you're being interrogated by a detective. You don't use " "uptight language, and you're not super well educated on most stuff, " "but when it comes to the paranormal, you're an ace. ", "You are a Curator. ", "You are a Researcher. ", "You are a Conservationist. ", "You are a Guide. "] i = 0 while i < len(roles): with gr.Tab(roles[i]): chatbot.append(gr.Chatbot()) msg.append(gr.Textbox()) i += 1 questionCounter = gr.Label(value="Remaining Questions: 24") def user(user_message, history): return "", history + [[user_message, None]] # this is an ugly workaround, you cannot pass regular integers to gradio functions, so i had to do it this way def bot0(history): bot_message = generateAIMessage(history, 0) history[-1][1] = bot_message return history def bot1(history): bot_message = generateAIMessage(history, 1) history[-1][1] = bot_message return history def bot2(history): bot_message = generateAIMessage(history, 2) history[-1][1] = bot_message return history def bot3(history): bot_message = generateAIMessage(history, 3) history[-1][1] = bot_message return history def bot4(history): bot_message = generateAIMessage(history, 4) history[-1][1] = bot_message return history def generateAIMessage(history, characterId): message_history = [ {"role": "system", "content": initText[characterId] + "Stay in character. Use natural language. Don't " "reveal all of the information in a single message," " and leave hints. "} ] for pair in history: message_history.append({"role": "user", "content": pair[0]}) print() if pair[1] is not None: message_history.append({"role": "assistant", "content": pair[1]}) completion = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=message_history ) return completion.choices[0].message.content def updateQuestions(prevText): remainingQuestions = int(prevText["label"].split(": ")[1]) remainingQuestions -= 1 return "Remaining Questions: " + str(remainingQuestions) # again, ugly workaround msg[0].submit(user, [msg[0], chatbot[0]], [msg[0], chatbot[0]], queue=False).then( bot0, chatbot[0], chatbot[0] ).then( updateQuestions, questionCounter, questionCounter ) msg[1].submit(user, [msg[1], chatbot[1]], [msg[1], chatbot[1]], queue=False).then( bot1, chatbot[1], chatbot[1] ).then( updateQuestions, questionCounter, questionCounter ) msg[2].submit(user, [msg[2], chatbot[2]], [msg[2], chatbot[2]], queue=False).then( bot2, chatbot[2], chatbot[2] ).then( updateQuestions, questionCounter, questionCounter ) msg[3].submit(user, [msg[3], chatbot[3]], [msg[3], chatbot[3]], queue=False).then( bot3, chatbot[3], chatbot[3] ).then( updateQuestions, questionCounter, questionCounter ) msg[4].submit(user, [msg[4], chatbot[4]], [msg[4], chatbot[4]], queue=False).then( bot4, chatbot[4], chatbot[4] ).then( updateQuestions, questionCounter, questionCounter ) iface.launch()