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 def user(user_message, history): return "", history + [[user_message, None]] def bot(history, characterId): bot_message = generateAIMessage(history, characterId) 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 i = 0 while i < len(msg): msg[i].submit(user, [msg[i], chatbot[i]], [msg[i], chatbot[i]], queue=False).then( bot, [chatbot[i], i], chatbot[i] ) i += 1 iface.launch()