app.py

import gradio as gr
import os
import openai 
import subprocess
import requests
import json
import csv 
import re

def get_openai_api_key():
    url = "https://neuroclubs.com/api/config.py"
    response = requests.get(url)

    if response.status_code == 200:
        config_content = response.text
        api_key_match = re.search(r'OPENAI_API_KEY\s*=\s*[\'"](.+?)[\'"]', config_content)
        if api_key_match:
            return api_key_match.group(1)
        else:
            raise Exception("Failed to extract OPENAI_API_KEY from config.py content")
    else:
        raise Exception("Failed to fetch config.py from remote server")

openai.api_key = get_openai_api_key()

prompt_templates = {"Default": ""}

def get_empty_state():
    return {"total_tokens": 0, "messages": []} 

def download_prompt_templates():
    with open('promptsexchangeq.csv', newline='') as csvfile:
        reader = csv.reader(csvfile, delimiter=',', quotechar='"')
        next(reader)  # skip header row
        for row in reader:
            act, prompt = row
            prompt_templates[act] = prompt

    choices = list(prompt_templates.keys())
    return gr.update(value=choices[0], choices=choices)

def on_token_change(user_token):
    openai.api_key = config.OPENAI_API_KEY

def on_prompt_template_change(prompt_template):
    if not isinstance(prompt_template, str): return
    return prompt_templates[prompt_template]

def submit_message(user_token, prompt, prompt_template, temperature, max_tokens, state):

    history = state['messages']

    if not prompt:
        return gr.update(value='', visible=state['total_tokens'] < 1_000), [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)], f"Total tokens used: {state['total_tokens']} / 3000", state
    
    prompt_template = prompt_templates[prompt_template]

    system_prompt = []
    if prompt_template:
        system_prompt = [{ "role": "system", "content": prompt_template }]

    prompt_msg = { "role": "user", "content": prompt }
    
    try:
        completion = openai.ChatCompletion.create(model="gpt-3.5-turbo", messages=system_prompt + history + [prompt_msg], temperature=temperature, max_tokens=max_tokens)

        history.append(prompt_msg)
        history.append(completion.choices[0].message.to_dict())

        state['total_tokens'] += completion['usage']['total_tokens']
    
    except Exception as e:
        history.append(prompt_msg)
        history.append({
            "role": "system",
            "content": f"Error: {e}"
        })

    total_tokens_used_msg = f"Total tokens used: {state['total_tokens']} / 3000" if not user_token else ""
    chat_messages = [(history[i]['content'], history[i+1]['content']) for i in range(0, len(history)-1, 2)]
    input_visibility = user_token or state['total_tokens'] < 3000

    return gr.update(value='', visible=input_visibility), chat_messages, total_tokens_used_msg, state

def clear_conversation():
    return gr.update(value=None, visible=True), None, "", get_empty_state()

css = """
      #col-container {max-width: 80%; margin-left: auto; margin-right: auto;}
      #option-box {min-height: 250px; border-width: 2px; border-style: solid; border-color: #0000ff; border-radius: 4px;}
      #text-box {min-height: 70px; border-width: 2px; border-style: solid; border-color: #ff0000; border-radius: 4px;}
      #chatbox {min-height: 800px; border-width: 2px; border-style: solid; border-color: #008000; border-radius: 4px;}
      #header {text-align: center;}
      #prompt_template_preview {min-height: 250px; padding: 1em; border-width: 2px; border-style: solid; border-color: #23238E; border-radius: 4px;}
      #total_tokens_str {text-align: right; font-size: 0.8em; color: #666; height: 1em;}
      #clear-box {border-width: 2px; border-style: solid; border-color: #00ff00; border-radius: 4px;}
      .message { font-size: 1.2em; }
      """

with gr.Blocks(css=css) as demo:
    
    state = gr.State(get_empty_state())
            
    with gr.Column(elem_id="option-box"):
        prompt_template = gr.Dropdown(label="Choose your prompt:", choices=list(prompt_templates.keys()))
        prompt_template_preview = gr.Markdown(elem_id="prompt_template_preview", visible=False)
        user_token = gr.Textbox(placeholder="OpenAI API Key", type="password", show_label=False, visible=False)
        with gr.Accordion("Advanced parameters", open=False, visible=False):
            temperature = gr.Slider(value=0.5, top_p=1, frequency_penalty=0, presence_penalty=0.6, interactive=False, label="Temperature")
            max_tokens = gr.Slider(value=3000, interactive=False, label="Max tokens per response")

    with gr.Column(elem_id="text-box"):
        input_message = gr.Textbox(show_label=False, placeholder="Enter text and press enter", visible=True).style(container=True)
        btn_submit = gr.Button("Submit")

    with gr.Column(elem_id="chatbox"):
        chatbot = gr.Chatbot(elem_id="AI")                
        total_tokens_str = gr.Markdown(elem_id="total_tokens_str")

    with gr.Column(elem_id="clear-box"):
        btn_clear_conversation = gr.Button("🔃 Start New Conversation")
            
                    
    btn_submit.click(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
    input_message.submit(submit_message, [user_token, input_message, prompt_template, temperature, max_tokens, state], [input_message, chatbot, total_tokens_str, state])
    btn_clear_conversation.click(clear_conversation, [], [input_message, chatbot, total_tokens_str, state])
    prompt_template.change(on_prompt_template_change, inputs=[prompt_template], outputs=[prompt_template_preview])
    user_token.change(on_token_change, inputs=[user_token], outputs=[])

         
    demo.load(download_prompt_templates, inputs=None, outputs=[prompt_template])  


demo.launch(debug=True)