import gradio as gr import openai import os from dotenv import load_dotenv load_dotenv() openai.api_key = os.getenv("openai_api_key") # history = [] character_name = "AI" # chat_history = [] def openai_chat(prompt, ch_history): ch_history.append({"role": "user", "content": prompt}) messagesFiltered = [ch_history[i] for i in range(len(ch_history)) if ((i % 3 !=0) | (i ==0)) ] response = openai.ChatCompletion.create( model="gpt-3.5-turbo", messages=messagesFiltered, max_tokens=300, temperature=0.6, top_p=1, frequency_penalty=0.5, presence_penalty=0.0 ) print(response.choices[0].message["content"].strip()) return response.choices[0].message["content"].strip() def set_character_name(prompt_input, ch_history): print(prompt_input) character_name = prompt_input #history.append({"role": "system", "content": f"You are {character_name}. You will talk and think like {character_name} from now on."}) ch_history.append({"role": "system", "content": f"You are {character_name}. You will talk and think like {character_name} from now on."}) return {msg: msg.update(visible=True), chatbot: chatbot.update(visible=True), char_selection : char_selection.update(visible=False), title: title.update( value = f"Chat with {character_name.upper()}",visible=True), state: ch_history} def respond(message, ch_history): bot_message = openai_chat(message, ch_history) #history.append({"role": "assistant", "content": bot_message}) ch_history.append({"role": "assistant", "content": bot_message}) ch_history.append((message, bot_message)) chats = [ch_history[i] for i in range(len(ch_history)) if ((i % 3 == 0) & (i !=0)) ] return {msg: msg.update(value="", visible=True), chatbot: chatbot.update(value= chats,visible=True), state: ch_history} with gr.Blocks() as demo: state = gr.State([]) char_selection = gr.Textbox(lines=1 , label="Enter the character you want to talk to:") title = gr.Markdown( visible=False) chatbot = gr.Chatbot(visible=False) msg = gr.Textbox(visible=False) char_selection.submit(set_character_name, [char_selection, state], [chatbot, msg, char_selection, title,state]) msg.submit(respond, [msg, state], [chatbot, msg,state]) demo.launch()