| |
|
| |
|
| | import openai |
| | import gradio as gr |
| | import config |
| |
|
| | openai.api_key = config.OPENAI_API_KEY |
| |
|
| | |
| | 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() |
| |
|