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| from modules.load_configure import * | |
| import time | |
| if echo == "True": | |
| from modules.echo import * | |
| import os | |
| import gradio as gr | |
| import copy | |
| import llama_cpp | |
| from llama_cpp import Llama | |
| import random | |
| from huggingface_hub import hf_hub_download | |
| from modules.download_model import download_model | |
| from modules.inference import load_model, generate_text | |
| from modules.model_list import list_models | |
| from modules.render_markdown import render_md | |
| from modules.load_presets import load_presets_names, load_presets_value | |
| from modules.arg_parser import * | |
| #from blip.blip_engine import blip_run | |
| dir = os.getcwd() | |
| if footer == "True": | |
| footer_vis = True | |
| else: | |
| footer_vis = False | |
| history = [] | |
| chatbot = gr.Chatbot(show_label=False, layout=chat_style, show_copy_button=True, height=500, min_width=180) | |
| with gr.Blocks(theme=theme, title=f"TensorLM v{tlm_version} Demo", css="style.css") as webui: | |
| gr.Markdown(""" | |
| [**Run it local**](https://github.com/ehristoforu/TensorLM-webui) | |
| """) | |
| #refresh_model = gr.Button(value="Load model", interactive=True, scale=1) | |
| with gr.Row(): | |
| with gr.Row(render=False, variant="panel") as sliders: | |
| with gr.Tab("Parameters"): | |
| max_tokens = gr.Slider(label="Max new tokens", minimum=256, maximum=4056, value=512, step=8, interactive=True) | |
| temperature = gr.Slider(label="Temperature", minimum=0.01, maximum=2.00, value=0.15, step=0.01, interactive=True) | |
| top_p = gr.Slider(label="Top P", minimum=0.01, maximum=2.00, value=0.10, step=0.01, interactive=True) | |
| top_k = gr.Slider(label="Top K", minimum=10.00, maximum=100.00, value=40.00, step=0.01, interactive=True) | |
| repeat_penalty = gr.Slider(label="Repeat penalty", minimum=0.01, maximum=2.00, value=1.10, step=0.01, interactive=True) | |
| with gr.Tab("Instructions"): | |
| preset = gr.Radio(label="Prompt preset", choices=load_presets_names(), value=load_presets_names()[1], interactive=True) | |
| system_prompt = gr.Textbox(label="Custom system prompt", max_lines=4, lines=3, interactive=True) | |
| with gr.Tab("Model"): | |
| model = gr.Dropdown(label="Model (only based on Llama in GGML format (.bin))", choices=os.listdir(f"{dir}/models"), value="llama-2-7b-chat.ggmlv3.q2_K.bin", interactive=False, allow_custom_value=False, scale=50) | |
| with gr.Row(render=False) as settings: | |
| reload_model = gr.Button("Apply settings to model", interactive=True) | |
| n_ctx = gr.Slider(label="Number of CTX", minimum=1024, maximum=4056, value=2048, step=8, interactive=True) | |
| n_gpu_layers = gr.Slider(label="Number of GPU layers", minimum=0, maximum=36, value=0, step=1, interactive=True) | |
| n_threads = gr.Slider(label="Number of Threads", minimum=2, maximum=36, value=4, step=1, interactive=True) | |
| verbose = gr.Checkbox(label="Verbose", value=True, interactive=True) | |
| f16_kv = gr.Checkbox(label="F16 KV", value=True, interactive=True) | |
| logits_all = gr.Checkbox(label="Logits all", value=False, interactive=True) | |
| vocab_only = gr.Checkbox(label="Vocab only", value=False, interactive=True) | |
| use_mmap = gr.Checkbox(label="Use mmap", value=True, interactive=True) | |
| use_mlock = gr.Checkbox(label="Use mlock", value=False, interactive=True) | |
| n_batch = gr.Slider(label="Number of batch", minimum=128, maximum=2048, value=512, step=8, interactive=True) | |
| last_n_tokens_size = gr.Slider(label="Last number of tokens size", minimum=8, maximum=512, value=64, step=8, interactive=True) | |
| low_vram = gr.Checkbox(label="Low VRAM", value=lowvram_arg, interactive=True) | |
| rope_freq_base = gr.Slider(label="Rope freq base", minimum=1000.0, maximum=30000.0, value=10000.0, step=0.1, interactive=True) | |
| rope_freq_scale = gr.Slider(label="Rope freq scale", minimum=0.1, maximum=3.0, value=1.0, step=0.1) | |
| with gr.Column(scale=2): | |
| with gr.Row(): | |
| gr.ChatInterface( | |
| generate_text, | |
| chatbot=chatbot, | |
| retry_btn="🔄️", | |
| submit_btn="📨", | |
| undo_btn="↩️", | |
| clear_btn="🗑️", | |
| additional_inputs=[system_prompt, preset, temperature, max_tokens, top_k, top_k, repeat_penalty, model, n_ctx, n_gpu_layers, n_threads, verbose, f16_kv, logits_all, vocab_only, use_mmap, use_mlock, n_batch, last_n_tokens_size, low_vram, rope_freq_base, rope_freq_scale] | |
| ) | |
| with gr.Row(): | |
| options_change = gr.Checkbox(label="Options", value=False, interactive=True) | |
| tabs_change = gr.Checkbox(label="Tabs", value=False, interactive=True) | |
| with gr.Row(): | |
| with gr.Row(visible=False) as tabs: | |
| with gr.Tab("ModelGet", visible=False): | |
| gr.Markdown("## Download model from 🤗 HuggingFace.co") | |
| with gr.Row(): | |
| repo_id = gr.Textbox(label="REPO_ID", value="ehristoforu/LLMs", lines=1, max_lines=1, interactive=False) | |
| filename = gr.Dropdown(label="FILENAME", interactive=True, choices=["llama-2-7b-chat.ggmlv3.q2_K.bin", "llama-2-13b-chat.ggmlv3.q2_K.bin", "codellama-7b-instruct.ggmlv3.Q2_K.bin", "codellama-13b-instruct.ggmlv3.Q2_K.bin", "saiga-13b.ggmlv3.Q4_1.bin", "saiga-30b.ggmlv3.Q3_K.bin"], value="", allow_custom_value=False) | |
| download_btn = gr.Button(value="Download") | |
| logs=gr.Markdown() | |
| with gr.Tab("Notebook"): | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| render_markdown = gr.Button(value="Render markdown", interactive=True) | |
| notebook = gr.Textbox(show_label=False, value="This is a great day...", placeholder="Your notebook", max_lines=40, lines=35, interactive=True, show_copy_button=True) | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| markdown = gr.Markdown() | |
| with gr.Tab("Settings"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| #with gr.Row(): | |
| # gr.Markdown("### Style") | |
| # chat_style = gr.Dropdown(label="Style of chat", choices=["bubble", "panel"], value="bubble", interactive=True, allow_custom_value=False) | |
| settings.render() | |
| with gr.Row(): | |
| gr.Markdown(f""" | |
| <center><a href="https://github.com/ehristoforu/TensorLM-webui">v{tlm_version}demo</a> | <a href="/?view=api">API</a> | <a href="https://gradio.app">gradio 4.1.0</a> | <a href="https://github.com/ggerganov/llama.cpp">llama.cpp</a> | <a href="https://python.org">python</a> | <a href="https://huggingface.co/TheBloke?search_models=GGML">Suggested models</a></center> | |
| """, visible=footer_vis) | |
| with gr.Row(visible=False) as options: | |
| with gr.Column(scale=1): | |
| sliders.render() | |
| render_markdown.click( | |
| fn=render_md, | |
| inputs=notebook, | |
| outputs=markdown, | |
| queue=False, | |
| api_name=False, | |
| ) | |
| notebook.change( | |
| fn=render_md, | |
| inputs=notebook, | |
| outputs=markdown, | |
| queue=False, | |
| api_name=False, | |
| ) | |
| options_change.change( | |
| fn=lambda x: gr.update(visible=x), | |
| inputs=options_change, | |
| outputs=options, | |
| queue=False, | |
| api_name=False, | |
| ) | |
| tabs_change.change( | |
| fn=lambda x: gr.update(visible=x), | |
| inputs=tabs_change, | |
| outputs=tabs, | |
| queue=False, | |
| api_name=False, | |
| ) | |
| download_btn.click(download_model, inputs=[repo_id, filename], outputs=logs, api_name=False, queue=False) | |
| model.change(load_model, inputs=[model, n_ctx, n_gpu_layers, n_threads, verbose, f16_kv, logits_all, vocab_only, use_mmap, use_mlock, n_batch, last_n_tokens_size, low_vram, rope_freq_base, rope_freq_scale], outputs=model, api_name=False, queue=False) | |
| reload_model.click(load_model, inputs=[model, n_ctx, n_gpu_layers, n_threads, verbose, f16_kv, logits_all, vocab_only, use_mmap, use_mlock, n_batch, last_n_tokens_size, low_vram, rope_freq_base, rope_freq_scale], outputs=model, api_name=False, queue=False) | |
| webui.launch( | |
| inbrowser=inbrowser_arg, | |
| debug=debug_arg, | |
| quiet=quiet_arg, | |
| favicon_path="assets/favicon.png", | |
| show_api=show_api, | |
| share_server_protocol=share_server_protocol, | |
| ) |