| import openai |
| import gradio |
| import os |
|
|
| openai.api_key = os.environ.get("open_ai_token") |
|
|
| text_file = open("Alfred.txt", "r") |
| texto = text_file.read() |
|
|
| messages = [{"role": "system", "content":texto}] |
|
|
| def CustomChatGPT(user_input): |
| messages.append({"role": "user", "content": user_input}) |
| response = openai.ChatCompletion.create( |
| model = "gpt-3.5-turbo", |
| messages = messages, |
| temperature=0.3 |
| ) |
| ChatGPT_reply = response["choices"][0]["message"]["content"] |
| messages.append({"role": "assistant", "content": ChatGPT_reply}) |
| return ChatGPT_reply |
|
|
| user_input = gradio.inputs.Textbox(lines=2, placeholder="Como posso te ajudar?", label="Como posso te ajudar?") |
| output = gradio.outputs.Textbox(label="Resposta:") |
|
|
| demo = gradio.Interface(fn=CustomChatGPT, inputs = user_input, outputs = output, title = "Marina - Evento Páscoa 8/Abril") |
|
|
| demo.launch() |
