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| import gradio as gr | |
| import os | |
| from llama_func import * | |
| from utils import * | |
| from presets import * | |
| os.environ['OPENAI_API_KEY'] = "" | |
| title = """<h1 align="center">🦙Llama_Difu</h1><h3 align="center">Llama Do it for you —— 让Llama来帮你读代码、论文、书籍</h3>""" | |
| description = """<div align=center> | |
| 由Bilibili [土川虎虎虎](https://space.bilibili.com/29125536) 和 [明昭MZhao](https://space.bilibili.com/24807452)开发 | |
| </div> | |
| """ | |
| customCSS = """ | |
| code { | |
| display: inline; | |
| white-space: break-spaces; | |
| border-radius: 6px; | |
| margin: 0 2px 0 2px; | |
| padding: .2em .4em .1em .4em; | |
| background-color: rgba(175,184,193,0.2); | |
| } | |
| pre { | |
| display: block; | |
| white-space: pre; | |
| background-color: hsla(0, 0%, 0%, 72%); | |
| border: solid 5px var(--color-border-primary) !important; | |
| border-radius: 8px; | |
| padding: 0 1.2rem 1.2rem; | |
| margin-top: 1em !important; | |
| color: #FFF; | |
| box-shadow: inset 0px 8px 16px hsla(0, 0%, 0%, .2) | |
| } | |
| pre code, pre code code { | |
| background-color: transparent !important; | |
| margin: 0; | |
| padding: 0; | |
| } | |
| """ | |
| with gr.Blocks() as llama_difu: | |
| chat_context = gr.State([]) | |
| new_google_chat_context = gr.State([]) | |
| gr.HTML(title) | |
| gr.HTML('''<center><a href="https://huggingface.co./spaces/MZhaovo/Llama_Difu?duplicate=true"><img src="https://bit.ly/3gLdBN6" alt="复制 Space"></a>强烈建议点击上面的按钮复制一份这个Space，在你自己的Space里运行，响应更迅速、也更安全👆</center>''') | |
| with gr.Row(): | |
| with gr.Column(scale=1): | |
| with gr.Box(): | |
| gr.Markdown("**OpenAI API-Key**") | |
| api_key = gr.Textbox(show_label=False, placeholder="Please enter your OpenAI API-key",label="OpenAI API-Key", value="", type="password").style(container=False) | |
| with gr.Column(scale=3): | |
| with gr.Box(): | |
| gr.Markdown("**Select Index**") | |
| with gr.Row(): | |
| with gr.Column(scale=12): | |
| index_select = gr.Dropdown(choices=refresh_json_list(plain=True), show_label=False).style(container=False) | |
| with gr.Column(min_width=30, scale=1): | |
| index_refresh_btn = gr.Button("🔄").style() | |
| with gr.Tab("Ask"): | |
| with gr.Box(): | |
| with gr.Column(): | |
| gr.Markdown("## Ask") | |
| with gr.Column(): | |
| with gr.Accordion("Prompt Template", open=False): | |
| with gr.Row(): | |
| sim_k = gr.Slider(1, 10, 1, step=1, label="The Number of Similarity chunks", interactive=True, show_label=True) | |
| tempurature = gr.Slider(0, 2, 0.5, step=0.1, label="Temperature", interactive=True, show_label=True) | |
| tmpl_select = gr.Radio(prompt_tmpl_list, value="Default", label="pre-prompt-template", interactive=True) | |
| prompt_tmpl = gr.Textbox(value=prompt_tmpl_dict["Default"], show_label=False) | |
| query_box = gr.Textbox(lines=3, show_label=False).style(container=False) | |
| query_btn = gr.Button("🚀", variant="primary") | |
| with gr.Box(): | |
| gr.Markdown("## Result") | |
| answer = gr.Markdown("") | |
| with gr.Tab("New Google"): | |
| with gr.Row(): | |
| chat_tone = gr.Radio(["Creative", "Balanced", "Precise"], label="Chatbot Tone", type="index", value="Balanced") | |
| search_options_checkbox = gr.CheckboxGroup(label="Search Options", choices=["🔍 Search Google", "🔍 Search Baidu", "🔍 Manual Search"]) | |
| chatbot = gr.Chatbot() | |
| with gr.Row(): | |
| with gr.Column(min_width=50, scale=1): | |
| chat_empty_btn = gr.Button("🧹", variant="secondary") | |
| with gr.Column(scale=12): | |
| chat_input = gr.Textbox(show_label=False, placeholder="Type here...").style(container=False) | |
| with gr.Column(min_width=50, scale=1): | |
| chat_submit_btn = gr.Button("🚀", variant="primary") | |
| suggested_user_turns = gr.Dropdown(choices=[], label="Suggested User Turns") | |
| with gr.Tab("Construct"): | |
| with gr.Row(): | |
| with gr.Column(): | |
| upload_file = gr.Files(label="Upload Files(Support .txt, .pdf, .epub, .docx)") | |
| with gr.Row(): | |
| max_input_size = gr.Slider(256, 4096, 4096, step=1, label="Max Input Size", interactive=True, show_label=True) | |
| num_outputs = gr.Slider(256, 4096, 512, step=1, label="Num Outputs", interactive=True, show_label=True) | |
| with gr.Row(): | |
| max_chunk_overlap = gr.Slider(0, 100, 20, step=1, label="Max Chunk Overlap", interactive=True, show_label=True) | |
| chunk_size_limit = gr.Slider(256, 4096, 512, step=1, label="Chunk Size Limit", interactive=True, show_label=True) | |
| new_index_name = gr.Textbox(placeholder="New Index Name", show_label=False).style(container=False) | |
| construct_btn = gr.Button("Construct", variant="primary") | |
| with gr.Row(): | |
| with gr.Column(): | |
| with gr.Row(): | |
| with gr.Column(min_width=50, scale=1): | |
| json_refresh_btn = gr.Button("🔄") | |
| with gr.Column(scale=7): | |
| json_select = gr.Dropdown(choices=refresh_json_list(plain=True), show_label=False, multiselect=False).style(container=False) | |
| with gr.Column(min_width=50, scale=1): | |
| json_confirm_btn = gr.Button("🔎") | |
| json_display = gr.JSON(label="View index json") | |
| gr.Markdown(description) | |
| index_refresh_btn.click(refresh_json_list, None, [index_select]) | |
| query_btn.click(ask_ai, [api_key, index_select, query_box, prompt_tmpl, sim_k, tempurature], [answer]) | |
| tmpl_select.change(change_prompt_tmpl, [tmpl_select], [prompt_tmpl]) | |
| chat_input.submit(chat_ai, [api_key, index_select, chat_input, prompt_tmpl, sim_k, chat_tone, chat_context, chatbot, search_options_checkbox, suggested_user_turns], [chat_context, chatbot, suggested_user_turns]) | |
| chat_input.submit(reset_textbox, [], [chat_input]) | |
| chat_submit_btn.click(chat_ai, [api_key, index_select, chat_input, prompt_tmpl, sim_k, chat_tone, chat_context, chatbot, search_options_checkbox, suggested_user_turns], [chat_context, chatbot, suggested_user_turns]) | |
| chat_submit_btn.click(reset_textbox, [], [chat_input]) | |
| chat_empty_btn.click(lambda: ([], []), None, [chat_context, chatbot]) | |
| construct_btn.click(construct_index, [api_key, upload_file, new_index_name, max_input_size, num_outputs, max_chunk_overlap], [index_select, json_select]) | |
| json_confirm_btn.click(display_json, [json_select], [json_display]) | |
| json_refresh_btn.click(refresh_json_list, None, [json_select]) | |
| if __name__ == '__main__': | |
| llama_difu.queue().launch() | |