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|
| import openai |
| import gradio as gr |
| import config |
|
|
| openai.api_key = config.OPENAI_API_KEY |
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| |
| initial_messages = [ |
| {"role": "system", "content":"You are an attachment and close relationship research surveyor"}, |
| {"role": "user", "content":"""ask me each question from this questionnaire and rewrite it as an open ended question and wait for each response. Empathize with me and regularly ask for clarification why I answered with a certain response. Here is the questionnaire: |
| Can you describe your relationship with your mother or a mother-like figure in your life? |
| Do you usually discuss your problems and concerns with your mother or a mother-like figure? |
| |
| """}, |
| ] |
|
|
| def chatbot(input): |
| if not hasattr(chatbot, "messages"): |
| chatbot.messages = initial_messages.copy() |
| |
| if input: |
| chatbot.messages.append({"role": "user", "content": input}) |
| chat = openai.ChatCompletion.create( |
| model="gpt-3.5-turbo-0125", messages=chatbot.messages |
| ) |
| reply = chat.choices[0].message.content |
| chatbot.messages.append({"role": "assistant", "content": reply}) |
| |
| conversation = "" |
| for message in chatbot.messages[2:]: |
| role = "You" if message["role"] == "user" else "AttachmentBot" |
| conversation += f"{role}: {message['content']}\n" |
|
|
| return conversation |
|
|
| inputs = gr.inputs.Textbox(lines=7, label="Chat with AttachmentBot") |
| outputs = gr.outputs.Textbox(label="Conversation") |
|
|
| gr.Interface(fn=chatbot, inputs=inputs, outputs=outputs, title="AttachmentBot", |
| description="Let me survey you about your attachment with certain people in your life, to begin enter start", |
| theme="compact").launch() |
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