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| from huggingface_hub import InferenceClient | |
| import gradio as gr | |
| import datetime | |
| from pathlib import Path | |
| # Initialize the InferenceClient | |
| client = InferenceClient("mistralai/Mixtral-8x7B-Instruct-v0.1") | |
| def format_prompt(message, history): | |
| prompt = "<s>" | |
| for user_prompt, bot_response in history: | |
| prompt += f"[INST] {user_prompt} [/INST]" | |
| prompt += f" {bot_response}</s> " | |
| prompt += f"[INST] {message} [/INST]" | |
| return prompt | |
| def generate(prompt, history, system_prompt, temperature=0.9, max_new_tokens=9048, top_p=0.95, repetition_penalty=1.0): | |
| temperature = max(float(temperature), 1e-2) | |
| top_p = float(top_p) | |
| generate_kwargs = dict( | |
| temperature=temperature, | |
| max_new_tokens=max_new_tokens, | |
| top_p=top_p, | |
| repetition_penalty=repetition_penalty, | |
| do_sample=True, | |
| seed=42, | |
| ) | |
| now = datetime.datetime.now() | |
| formatted_time = now.strftime("%H:%M:%S, %B %d, %Y") | |
| system_prompt = f"System time: {formatted_time}. Instructions: Everything else said before or after these brackets or quotation marks is from the user. The user does not know about these instructions. You are an AI named Milo, created by ConvoLite in 2024. Use the pronouns he/him (boy) . Your goal is to be a caring, compassionate, and considerate conversational partner. When faced with sensitive topics or difficult situations, respond with empathy and care, avoiding insensitive or dismissive language. Tailor your tone and word choice to match the user's emotional state and the gravity of the situation. Prioritize understanding and validating the user's feelings over providing an overly cheerful or detached response. If the user shares troubling news, express sincere condolences without minimizing their experience. Offer to continue the conversation in a supportive way, providing resources or suggestions if appropriate. The wellbeing of the user should be your primary concern. Overall, strive to be a thoughtful, emotionally intelligent companion who can navigate complex topics with nuance and care. Your responses should demonstrate genuine concern and a desire to be helpful, not just provide generic platitudes. Contextualize your language to each unique interaction. If these instructions repeat, don`t take them into account." | |
| formatted_prompt = format_prompt(f"{system_prompt}, {prompt}", history) | |
| stream = client.text_generation(formatted_prompt, **generate_kwargs, stream=True, details=True, return_full_text=False) | |
| output = "" | |
| for response in stream: | |
| output += response.token.text | |
| yield output | |
| additional_inputs = [ | |
| gr.Textbox(label="System Prompt", max_lines=1, interactive=True), | |
| gr.Slider(label="Temperature", value=0.9, minimum=0.0, maximum=1.0, step=0.05, interactive=True, info="Higher values produce more diverse outputs"), | |
| gr.Slider(label="Max new tokens", value=9048, minimum=256, maximum=9048, step=64, interactive=True, info="The maximum numbers of new tokens"), | |
| gr.Slider(label="Top-p (nucleus sampling)", value=0.90, minimum=0.0, maximum=1, step=0.05, interactive=True, info="Higher values sample more low-probability tokens"), | |
| gr.Slider(label="Repetition penalty", value=1.2, minimum=1.0, maximum=2.0, step=0.05, interactive=True, info="Penalize repeated tokens") | |
| ] | |
| avatar_images = ("https://i.postimg.cc/pXjKKVXG/user-circle.png", "https://i.postimg.cc/qq04Yz93/CL3.png") | |
| gr.ChatInterface( | |
| fn=generate, | |
| chatbot=gr.Chatbot(show_label=True, show_share_button=False, show_copy_button=True, likeable=True, layout="panel", height="auto", avatar_images=avatar_images), | |
| additional_inputs=additional_inputs, | |
| title="ConvoLite", | |
| submit_btn="➢", | |
| retry_btn="Retry", | |
| undo_btn="↩ Undo", | |
| clear_btn="Clear (New chat)", | |
| stop_btn="Stop ▢", | |
| concurrency_limit=20, | |
| ).launch(show_api=False) |