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@@ -10,7 +10,8 @@ import time
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import zipfile
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from datetime import datetime
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from pathlib import Path
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-
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+import os
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+import requests
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import gradio as gr
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from PIL import Image
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@@ -20,6 +21,7 @@ from modules.html_generator import chat_html_wrapper
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from modules.LoRA import add_lora_to_model
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from modules.models import load_model, load_soft_prompt, unload_model
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from modules.text_generation import generate_reply, stop_everything_event
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+from huggingface_hub import HfApi
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# Loading custom settings
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settings_file = None
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@@ -172,6 +174,62 @@ def create_prompt_menus():
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shared.gradio['save_prompt'].click(save_prompt, [shared.gradio['textbox']], [shared.gradio['status']], show_progress=False)
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+def download_model_wrapper(repo_id):
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+ print(repo_id)
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+ if repo_id == '':
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+ print("Please enter a valid repo ID. This field cant be empty")
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+ else:
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+ try:
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+ print('Downloading repo')
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+ hf_api = HfApi()
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+ # Get repo info
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+ repo_info = hf_api.repo_info(
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+ repo_id=repo_id,
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+ repo_type="model",
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+ revision="main"
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+ )
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+ # create model and repo folder and check for lora
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+ is_lora = False
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+ for file in repo_info.siblings:
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+ if 'adapter_model.bin' in file.rfilename:
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+ is_lora = True
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+ repo_dir_name = repo_id.replace("/", "--")
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+ if is_lora is True:
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+ models_dir = ".loras"
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+ else:
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+ models_dir = ".models"
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+ if not os.path.exists(models_dir):
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+ os.makedirs(models_dir)
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+ repo_dir = os.path.join(models_dir, repo_dir_name)
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+ if not os.path.exists(repo_dir):
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+ os.makedirs(repo_dir)
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+
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+ for sibling in repo_info.siblings:
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+ filename = sibling.rfilename
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+ url = f"https://huggingface.co/{repo_id}/resolve/main/{filename}"
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+ download_path = os.path.join(repo_dir, filename)
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+ response = requests.get(url, stream=True)
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+ # Get the total file size from the content-length header
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+ total_size = int(response.headers.get('content-length', 0))
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+
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+ # Download the file in chunks and print progress
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+ with open(download_path, 'wb') as f:
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+ downloaded_size = 0
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+ for data in response.iter_content(chunk_size=10000000):
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+ downloaded_size += len(data)
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+ f.write(data)
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+ progress = downloaded_size * 100 // total_size
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+ downloaded_size_mb = downloaded_size / (1024 * 1024)
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+ total_size_mb = total_size / (1024 * 1024)
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+ print(f"\rDownloading {filename}... {progress}% complete "
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+ f"({downloaded_size_mb:.2f}/{total_size_mb:.2f} MB)", end="", flush=True)
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+ print(f"\rDownloading {filename}... Complete!")
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+
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+ print('Repo Downloaded')
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+ except ValueError as e:
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+ raise ValueError("Please enter a valid repo ID. Error: {}".format(e))
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+
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+
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def create_model_menus():
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with gr.Row():
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with gr.Column():
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@@ -182,6 +240,15 @@ def create_model_menus():
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with gr.Row():
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shared.gradio['lora_menu'] = gr.Dropdown(choices=available_loras, value=shared.lora_name, label='LoRA')
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ui.create_refresh_button(shared.gradio['lora_menu'], lambda: None, lambda: {'choices': get_available_loras()}, 'refresh-button')
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+ with gr.Row():
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+ with gr.Column(scale=0.5):
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+ shared.gradio['custom_model_menu'] = gr.Textbox(label="Download Custom Model",
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+ info="Enter hugging face username/model path e.g: 'decapoda-research/llama-7b-hf'")
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+ with gr.Row():
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+ with gr.Column(scale=0.5):
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+ shared.gradio['download_button'] = gr.Button("Download", show_progress=True)
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+ shared.gradio['download_button'].click(download_model_wrapper, shared.gradio['custom_model_menu'],
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+ show_progress=True)
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shared.gradio['model_menu'].change(load_model_wrapper, shared.gradio['model_menu'], shared.gradio['model_menu'], show_progress=True)
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shared.gradio['lora_menu'].change(load_lora_wrapper, shared.gradio['lora_menu'], shared.gradio['lora_menu'], show_progress=True)
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