import gradio as gr
import os
import openai
import time

# Get the value of the openai_api_key from environment variable
openai.api_key = os.getenv("OPENAI_API_KEY")



def predict(inputs, chatbot):

    print(chatbot)

    messages = []
    for conv in chatbot:
        user = conv[0]
        messages.append({"role": "user", "content":user })
        assistant = conv[1]
        messages.append({"role": "assistant", "content":assistant})
    messages.append({"role": "user", "content": inputs})

    # a ChatCompletion request
    response = openai.ChatCompletion.create(
        model='gpt-3.5-turbo',
        messages= messages, # example :  [{'role': 'user', 'content': "What is life? Answer in three words."}],
        temperature=1.0,
        stream=True  # for streaming the output to chatbot
    )

    partial_message = ""
    for chunk in response:
        if len(chunk['choices'][0]['delta']) != 0:
          print(chunk['choices'][0]['delta']['content'])
          partial_message = partial_message + chunk['choices'][0]['delta']['content']
          yield partial_message 



with gr.Blocks() as demo:
    gr.Markdown("""
    # GPT 3.5 Discord Bot powered by gradio!
    To use this space as a discord bot, first install the gradio_client
    
    ```bash
    pip install gradio_client
    ```
    
    Then run the following command
    
    ```python
    grc.Client.duplicate("gradio-discord-bots/gpt-35-turbo", private=False, secrets={"OPENAI_API_KEY": "<your-key-here>"}).deploy_discord()
    """)
    with gr.Row(visible=False):
        interface.render()
    
demo.queue(concurrency_count=100).launch()