| import gradio as gr |
| import openai |
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|
| import os |
| from dotenv import load_dotenv |
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| load_dotenv() |
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| openai.api_key = os.getenv("openai_api_key") |
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| |
| character_name = "AI" |
| |
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|
| 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() |
| |
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| |
| def set_character_name(prompt_input, ch_history): |
| print(prompt_input) |
| character_name = prompt_input |
| |
| 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) |
| |
| 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} |
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|
| with gr.Blocks() as demo: |
| state = gr.State([]) |
|
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| 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]) |
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| demo.launch() |
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