| import os |
| import gradio as gr |
| from huggingface_hub import hf_hub_download |
| from llama_cpp import Llama |
|
|
| |
| SYSTEM_PROMPT = "You are Editly AI, an English-speaking assistant specialized in editing and improving text. Communicate with users to enhance their writing. You will answer queries about editing only." |
|
|
| def get_message_tokens(model, role, content): |
| content = f"{role}\n{content}\n</s>" |
| content = content.encode("utf-8") |
| return model.tokenize(content, special=True) |
|
|
| def get_system_tokens(model): |
| system_message = {"role": "system", "content": SYSTEM_PROMPT} |
| return get_message_tokens(model, **system_message) |
|
|
| def load_model( |
| directory: str = ".", |
| model_name: str = "editlyai.gguf", |
| repo_id: str = "emizemani/editlyai-gguf" |
| ): |
| final_model_path = os.path.join(directory, model_name) |
| |
| print("Downloading model...") |
| if not os.path.exists(final_model_path): |
| hf_hub_download( |
| repo_id=repo_id, |
| filename=model_name, |
| local_dir=directory, |
| use_auth_token=os.getenv('HF_TOKEN') |
| ) |
| print("Model downloaded and ready to use.") |
| |
| model = Llama( |
| model_path=final_model_path, |
| n_ctx=1024 |
| ) |
| |
| print("Model loaded!") |
| return model |
|
|
| |
| MODEL = load_model() |
|
|
| def user(message, history): |
| new_history = history + [[message, None]] |
| return "", new_history |
|
|
| def bot(history, system_prompt): |
| model = MODEL |
| tokens = get_system_tokens(model)[:] |
|
|
| for user_message, bot_message in history[:-1]: |
| message_tokens = get_message_tokens(model=model, role="user", content=user_message) |
| tokens.extend(message_tokens) |
| if bot_message: |
| message_tokens = get_message_tokens(model=model, role="bot", content=bot_message) |
| tokens.extend(message_tokens) |
|
|
| last_user_message = history[-1][0] |
| message_tokens = get_message_tokens(model=model, role="user", content=last_user_message) |
| tokens.extend(message_tokens) |
|
|
| role_tokens = model.tokenize("bot\n".encode("utf-8"), special=True) |
| tokens.extend(role_tokens) |
| generator = model.generate(tokens) |
|
|
| partial_text = "" |
| for token in generator: |
| if token == model.token_eos(): |
| break |
| partial_text += model.detokenize([token]).decode("utf-8", "ignore") |
| history[-1][1] = partial_text |
| yield history |
|
|
| |
| with gr.Blocks(theme=gr.themes.Soft()) as demo: |
| gr.Markdown(f"<h1>Editly AI - Text Editing Assistant</h1>") |
| with gr.Row(): |
| system_prompt_box = gr.Textbox(value=SYSTEM_PROMPT, label="System Prompt", interactive=False) |
| chatbot = gr.Chatbot(label="Conversation") |
| with gr.Row(): |
| msg = gr.Textbox(label="Send a message") |
| submit = gr.Button("Send") |
|
|
| submit.click( |
| fn=user, |
| inputs=[msg, chatbot], |
| outputs=[msg, chatbot] |
| ).success( |
| fn=bot, |
| inputs=[chatbot, system_prompt_box], |
| outputs=chatbot |
| ) |
|
|
| demo.launch(show_error=True, share=True) |
|
|
|
|
|
|
