import gradio as gr from openai import OpenAI import time import html def predict(message, history, character, api_key, progress=gr.Progress()): client = OpenAI(api_key=api_key) history_openai_format = [] for human, assistant in history: history_openai_format.append({"role": "user", "content": human}) history_openai_format.append({"role": "assistant", "content": assistant}) history_openai_format.append({"role": "user", "content": message}) response = client.chat.completions.create( model='gpt-4', messages=history_openai_format, temperature=1.0, stream=True ) partial_message = "" for chunk in progress.tqdm(response, desc="Generating"): if chunk.choices[0].delta.content: partial_message += chunk.choices[0].delta.content yield partial_message time.sleep(0.01) def format_history(history): html_content = "" for human, ai in history: human_formatted = html.escape(human).replace('\n', '
') html_content += f'
You: {human_formatted}
' if ai: ai_formatted = html.escape(ai).replace('\n', '
') html_content += f'
AI: {ai_formatted}
' return html_content css = """ #chat-display { height: 600px; overflow-y: auto; border: 1px solid #ccc; padding: 10px; margin-bottom: 10px; } #chat-display::-webkit-scrollbar { width: 10px; } #chat-display::-webkit-scrollbar-track { background: #f1f1f1; } #chat-display::-webkit-scrollbar-thumb { background: #888; } #chat-display::-webkit-scrollbar-thumb:hover { background: #555; } .message { margin-bottom: 10px; max-height: 300px; overflow-y: auto; word-wrap: break-word; } .user-message { background-color: #e6f3ff; padding: 5px; border-radius: 5px; } .ai-message { background-color: #f0f0f0; padding: 5px; border-radius: 5px; } """ js = """ function maintainScroll(element_id) { let element = document.getElementById(element_id); let shouldScroll = element.scrollTop + element.clientHeight === element.scrollHeight; let previousScrollTop = element.scrollTop; return function() { if (!shouldScroll) { element.scrollTop = previousScrollTop; } else { element.scrollTop = element.scrollHeight; } } } let scrollMaintainer = maintainScroll('chat-display'); setInterval(scrollMaintainer, 100); // Add event listener for Ctrl+Enter and prevent default Enter behavior document.addEventListener('DOMContentLoaded', (event) => { const textbox = document.querySelector('#your_message textarea'); textbox.addEventListener('keydown', function(e) { if (e.ctrlKey && e.key === 'Enter') { e.preventDefault(); document.querySelector('#your_message button').click(); } else if (e.key === 'Enter' && !e.shiftKey) { e.preventDefault(); const start = this.selectionStart; const end = this.selectionEnd; this.value = this.value.substring(0, start) + "\\n" + this.value.substring(end); this.selectionStart = this.selectionEnd = start + 1; } }); }); """ with gr.Blocks(css=css, js=js) as demo: gr.Markdown("

My Chatbot

") chat_history = gr.State([]) chat_display = gr.HTML(elem_id="chat-display") msg = gr.Textbox( label="Your message", lines=2, max_lines=10, placeholder="Type your message here... (Press Ctrl+Enter to send, Enter for new line)", elem_id="your_message" ) clear = gr.Button("Clear") dropdown = gr.Dropdown( ["Character 1", "Character 2", "Character 3", "Character 4", "Character 5", "Character 6", "Character 7", "Character 8", "Character 9", "Character 10", "Character 11", "Character 12", "Character 13"], label="Characters", info="Select the character that you'd like to speak to", value="Character 1" ) api_key = gr.Textbox(type="password", label="OpenAI API Key") def user(user_message, history): history.append([user_message, None]) return "", history, format_history(history) def bot(history, character, api_key): user_message = history[-1][0] bot_message_generator = predict(user_message, history[:-1], character, api_key) for chunk in bot_message_generator: history[-1][1] = chunk yield history, format_history(history) msg.submit(user, [msg, chat_history], [msg, chat_history, chat_display]).then( bot, [chat_history, dropdown, api_key], [chat_history, chat_display] ) clear.click(lambda: ([], []), None, [chat_history, chat_display], queue=False) dropdown.change(lambda x: ([], []), dropdown, [chat_history, chat_display]) demo.queue() demo.launch(max_threads=20)