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from __future__ import annotations |
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from typing import TYPE_CHECKING, Any, Callable, Dict, List, Tuple, Type |
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import logging |
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import json |
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import os |
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import datetime |
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import hashlib |
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import csv |
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import requests |
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import re |
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import html |
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import sys |
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import subprocess |
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import gradio as gr |
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from pypinyin import lazy_pinyin |
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import tiktoken |
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import mdtex2html |
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from markdown import markdown |
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from pygments import highlight |
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from pygments.lexers import get_lexer_by_name |
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from pygments.formatters import HtmlFormatter |
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import pandas as pd |
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from modules.presets import * |
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from . import shared |
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from modules.config import retrieve_proxy |
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if TYPE_CHECKING: |
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from typing import TypedDict |
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class DataframeData(TypedDict): |
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headers: List[str] |
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data: List[List[str | int | bool]] |
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def predict(current_model, *args): |
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iter = current_model.predict(*args) |
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for i in iter: |
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yield i |
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def billing_info(current_model): |
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return current_model.billing_info() |
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def set_key(current_model, *args): |
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return current_model.set_key(*args) |
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def load_chat_history(current_model, *args): |
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return current_model.load_chat_history(*args) |
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def interrupt(current_model, *args): |
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return current_model.interrupt(*args) |
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def reset(current_model, *args): |
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return current_model.reset(*args) |
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def retry(current_model, *args): |
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iter = current_model.retry(*args) |
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for i in iter: |
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yield i |
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def delete_first_conversation(current_model, *args): |
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return current_model.delete_first_conversation(*args) |
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def delete_last_conversation(current_model, *args): |
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return current_model.delete_last_conversation(*args) |
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def set_system_prompt(current_model, *args): |
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return current_model.set_system_prompt(*args) |
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def save_chat_history(current_model, *args): |
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return current_model.save_chat_history(*args) |
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def export_markdown(current_model, *args): |
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return current_model.export_markdown(*args) |
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def load_chat_history(current_model, *args): |
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return current_model.load_chat_history(*args) |
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def set_token_upper_limit(current_model, *args): |
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return current_model.set_token_upper_limit(*args) |
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def set_temperature(current_model, *args): |
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current_model.set_temperature(*args) |
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def set_top_p(current_model, *args): |
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current_model.set_top_p(*args) |
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def set_n_choices(current_model, *args): |
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current_model.set_n_choices(*args) |
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def set_stop_sequence(current_model, *args): |
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current_model.set_stop_sequence(*args) |
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def set_max_tokens(current_model, *args): |
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current_model.set_max_tokens(*args) |
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def set_presence_penalty(current_model, *args): |
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current_model.set_presence_penalty(*args) |
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def set_frequency_penalty(current_model, *args): |
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current_model.set_frequency_penalty(*args) |
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def set_logit_bias(current_model, *args): |
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current_model.set_logit_bias(*args) |
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def set_user_identifier(current_model, *args): |
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current_model.set_user_identifier(*args) |
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def set_single_turn(current_model, *args): |
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current_model.set_single_turn(*args) |
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def handle_file_upload(current_model, *args): |
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return current_model.handle_file_upload(*args) |
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def count_token(message): |
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encoding = tiktoken.get_encoding("cl100k_base") |
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input_str = f"role: {message['role']}, content: {message['content']}" |
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length = len(encoding.encode(input_str)) |
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return length |
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def markdown_to_html_with_syntax_highlight(md_str): |
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def replacer(match): |
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lang = match.group(1) or "text" |
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code = match.group(2) |
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try: |
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lexer = get_lexer_by_name(lang, stripall=True) |
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except ValueError: |
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lexer = get_lexer_by_name("text", stripall=True) |
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formatter = HtmlFormatter() |
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highlighted_code = highlight(code, lexer, formatter) |
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return f'<pre><code class="{lang}">{highlighted_code}</code></pre>' |
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code_block_pattern = r"```(\w+)?\n([\s\S]+?)\n```" |
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md_str = re.sub(code_block_pattern, replacer, md_str, flags=re.MULTILINE) |
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html_str = markdown(md_str) |
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return html_str |
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def normalize_markdown(md_text: str) -> str: |
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lines = md_text.split("\n") |
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normalized_lines = [] |
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inside_list = False |
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for i, line in enumerate(lines): |
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if re.match(r"^(\d+\.|-|\*|\+)\s", line.strip()): |
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if not inside_list and i > 0 and lines[i - 1].strip() != "": |
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normalized_lines.append("") |
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inside_list = True |
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normalized_lines.append(line) |
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elif inside_list and line.strip() == "": |
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if i < len(lines) - 1 and not re.match( |
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r"^(\d+\.|-|\*|\+)\s", lines[i + 1].strip() |
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): |
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normalized_lines.append(line) |
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continue |
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else: |
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inside_list = False |
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normalized_lines.append(line) |
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return "\n".join(normalized_lines) |
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def convert_mdtext(md_text): |
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code_block_pattern = re.compile(r"```(.*?)(?:```|$)", re.DOTALL) |
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inline_code_pattern = re.compile(r"`(.*?)`", re.DOTALL) |
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code_blocks = code_block_pattern.findall(md_text) |
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non_code_parts = code_block_pattern.split(md_text)[::2] |
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result = [] |
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for non_code, code in zip(non_code_parts, code_blocks + [""]): |
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if non_code.strip(): |
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non_code = normalize_markdown(non_code) |
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if inline_code_pattern.search(non_code): |
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result.append(markdown(non_code, extensions=["tables"])) |
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else: |
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result.append(mdtex2html.convert(non_code, extensions=["tables"])) |
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if code.strip(): |
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code = f"\n```{code}\n\n```" |
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code = markdown_to_html_with_syntax_highlight(code) |
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result.append(code) |
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result = "".join(result) |
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result += ALREADY_CONVERTED_MARK |
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return result |
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def convert_asis(userinput): |
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return ( |
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f'<p style="white-space:pre-wrap;">{html.escape(userinput)}</p>' |
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+ ALREADY_CONVERTED_MARK |
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) |
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def detect_converted_mark(userinput): |
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try: |
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if userinput.endswith(ALREADY_CONVERTED_MARK): |
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return True |
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else: |
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return False |
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except: |
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return True |
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def detect_language(code): |
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if code.startswith("\n"): |
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first_line = "" |
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else: |
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first_line = code.strip().split("\n", 1)[0] |
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language = first_line.lower() if first_line else "" |
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code_without_language = code[len(first_line) :].lstrip() if first_line else code |
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return language, code_without_language |
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def construct_text(role, text): |
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return {"role": role, "content": text} |
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def construct_user(text): |
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return construct_text("user", text) |
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def construct_system(text): |
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return construct_text("system", text) |
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def construct_assistant(text): |
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return construct_text("assistant", text) |
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def save_file(filename, system, history, chatbot, user_name): |
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logging.debug(f"{user_name} 保存对话历史中……") |
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os.makedirs(os.path.join(HISTORY_DIR, user_name), exist_ok=True) |
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if filename.endswith(".json"): |
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json_s = {"system": system, "history": history, "chatbot": chatbot} |
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print(json_s) |
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with open(os.path.join(HISTORY_DIR, user_name, filename), "w") as f: |
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json.dump(json_s, f) |
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elif filename.endswith(".md"): |
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md_s = f"system: \n- {system} \n" |
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for data in history: |
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md_s += f"\n{data['role']}: \n- {data['content']} \n" |
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with open(os.path.join(HISTORY_DIR, user_name, filename), "w", encoding="utf8") as f: |
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f.write(md_s) |
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logging.debug(f"{user_name} 保存对话历史完毕") |
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return os.path.join(HISTORY_DIR, user_name, filename) |
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def sorted_by_pinyin(list): |
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return sorted(list, key=lambda char: lazy_pinyin(char)[0][0]) |
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def get_file_names(dir, plain=False, filetypes=[".json"]): |
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logging.debug(f"获取文件名列表,目录为{dir},文件类型为{filetypes},是否为纯文本列表{plain}") |
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files = [] |
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try: |
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for type in filetypes: |
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files += [f for f in os.listdir(dir) if f.endswith(type)] |
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except FileNotFoundError: |
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files = [] |
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files = sorted_by_pinyin(files) |
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if files == []: |
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files = [""] |
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logging.debug(f"files are:{files}") |
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if plain: |
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return files |
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else: |
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return gr.Dropdown.update(choices=files) |
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def get_history_names(plain=False, user_name=""): |
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logging.debug(f"从用户 {user_name} 中获取历史记录文件名列表") |
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return get_file_names(os.path.join(HISTORY_DIR, user_name), plain) |
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def load_template(filename, mode=0): |
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logging.debug(f"加载模板文件{filename},模式为{mode}(0为返回字典和下拉菜单,1为返回下拉菜单,2为返回字典)") |
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lines = [] |
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if filename.endswith(".json"): |
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with open(os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8") as f: |
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lines = json.load(f) |
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lines = [[i["act"], i["prompt"]] for i in lines] |
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else: |
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with open( |
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os.path.join(TEMPLATES_DIR, filename), "r", encoding="utf8" |
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) as csvfile: |
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reader = csv.reader(csvfile) |
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lines = list(reader) |
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lines = lines[1:] |
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if mode == 1: |
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return sorted_by_pinyin([row[0] for row in lines]) |
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elif mode == 2: |
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return {row[0]: row[1] for row in lines} |
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else: |
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choices = sorted_by_pinyin([row[0] for row in lines]) |
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return {row[0]: row[1] for row in lines}, gr.Dropdown.update( |
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choices=choices |
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) |
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def get_template_names(plain=False): |
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logging.debug("获取模板文件名列表") |
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return get_file_names(TEMPLATES_DIR, plain, filetypes=[".csv", "json"]) |
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def get_template_content(templates, selection, original_system_prompt): |
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logging.debug(f"应用模板中,选择为{selection},原始系统提示为{original_system_prompt}") |
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try: |
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return templates[selection] |
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except: |
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return original_system_prompt |
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def reset_textbox(): |
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logging.debug("重置文本框") |
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return gr.update(value="") |
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def reset_default(): |
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default_host = shared.state.reset_api_host() |
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retrieve_proxy("") |
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return gr.update(value=default_host), gr.update(value=""), "API-Host 和代理已重置" |
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def change_api_host(host): |
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shared.state.set_api_host(host) |
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msg = f"API-Host更改为了{host}" |
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logging.info(msg) |
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return msg |
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def change_proxy(proxy): |
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retrieve_proxy(proxy) |
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os.environ["HTTPS_PROXY"] = proxy |
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msg = f"代理更改为了{proxy}" |
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logging.info(msg) |
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return msg |
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def hide_middle_chars(s): |
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if s is None: |
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return "" |
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if len(s) <= 8: |
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return s |
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else: |
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head = s[:4] |
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tail = s[-4:] |
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hidden = "*" * (len(s) - 8) |
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return head + hidden + tail |
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def submit_key(key): |
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key = key.strip() |
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msg = f"API密钥更改为了{hide_middle_chars(key)}" |
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logging.info(msg) |
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return key, msg |
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def replace_today(prompt): |
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today = datetime.datetime.today().strftime("%Y-%m-%d") |
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return prompt.replace("{current_date}", today) |
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def get_geoip(): |
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try: |
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with retrieve_proxy(): |
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response = requests.get("https://ipapi.co/json/", timeout=5) |
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data = response.json() |
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except: |
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data = {"error": True, "reason": "连接ipapi失败"} |
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if "error" in data.keys(): |
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logging.warning(f"无法获取IP地址信息。\n{data}") |
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if data["reason"] == "RateLimited": |
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return ( |
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i18n("您的IP区域:未知。") |
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) |
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else: |
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return i18n("获取IP地理位置失败。原因:") + f"{data['reason']}" + i18n("。你仍然可以使用聊天功能。") |
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else: |
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country = data["country_name"] |
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if country == "China": |
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text = "**您的IP区域:中国。请立即检查代理设置,在不受支持的地区使用API可能导致账号被封禁。**" |
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else: |
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text = i18n("您的IP区域:") + f"{country}。" |
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logging.info(text) |
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return text |
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def find_n(lst, max_num): |
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n = len(lst) |
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total = sum(lst) |
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|
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if total < max_num: |
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return n |
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for i in range(len(lst)): |
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if total - lst[i] < max_num: |
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return n - i - 1 |
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total = total - lst[i] |
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return 1 |
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def start_outputing(): |
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logging.debug("显示取消按钮,隐藏发送按钮") |
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return gr.Button.update(visible=False), gr.Button.update(visible=True) |
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def end_outputing(): |
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return ( |
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gr.Button.update(visible=True), |
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gr.Button.update(visible=False), |
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) |
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def cancel_outputing(): |
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logging.info("中止输出……") |
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shared.state.interrupt() |
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def transfer_input(inputs): |
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textbox = reset_textbox() |
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outputing = start_outputing() |
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return ( |
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inputs, |
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gr.update(value=""), |
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gr.Button.update(visible=False), |
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gr.Button.update(visible=True), |
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) |
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def run(command, desc=None, errdesc=None, custom_env=None, live=False): |
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if desc is not None: |
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print(desc) |
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if live: |
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result = subprocess.run(command, shell=True, env=os.environ if custom_env is None else custom_env) |
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if result.returncode != 0: |
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raise RuntimeError(f"""{errdesc or 'Error running command'}. |
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Command: {command} |
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Error code: {result.returncode}""") |
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|
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return "" |
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result = subprocess.run(command, stdout=subprocess.PIPE, stderr=subprocess.PIPE, shell=True, env=os.environ if custom_env is None else custom_env) |
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if result.returncode != 0: |
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message = f"""{errdesc or 'Error running command'}. |
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Command: {command} |
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Error code: {result.returncode} |
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stdout: {result.stdout.decode(encoding="utf8", errors="ignore") if len(result.stdout)>0 else '<empty>'} |
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stderr: {result.stderr.decode(encoding="utf8", errors="ignore") if len(result.stderr)>0 else '<empty>'} |
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""" |
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raise RuntimeError(message) |
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return result.stdout.decode(encoding="utf8", errors="ignore") |
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|
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def versions_html(): |
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git = os.environ.get('GIT', "git") |
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python_version = ".".join([str(x) for x in sys.version_info[0:3]]) |
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try: |
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commit_hash = run(f"{git} rev-parse HEAD").strip() |
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except Exception: |
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commit_hash = "<none>" |
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if commit_hash != "<none>": |
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short_commit = commit_hash[0:7] |
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commit_info = f"<a style=\"text-decoration:none\" href=\"https://github.com/GaiZhenbiao/ChuanhuChatGPT/commit/{short_commit}\">{short_commit}</a>" |
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else: |
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commit_info = "unknown \U0001F615" |
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return f""" |
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Python: <span title="{sys.version}">{python_version}</span> |
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• |
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Gradio: {gr.__version__} |
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• |
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Commit: {commit_info} |
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""" |
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|
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def add_source_numbers(lst, source_name = "Source", use_source = True): |
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if use_source: |
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return [f'[{idx+1}]\t "{item[0]}"\n{source_name}: {item[1]}' for idx, item in enumerate(lst)] |
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else: |
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return [f'[{idx+1}]\t "{item}"' for idx, item in enumerate(lst)] |
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|
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def add_details(lst): |
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nodes = [] |
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for index, txt in enumerate(lst): |
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brief = txt[:25].replace("\n", "") |
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nodes.append( |
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f"<details><summary>{brief}...</summary><p>{txt}</p></details>" |
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) |
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return nodes |
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|
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|
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def sheet_to_string(sheet, sheet_name = None): |
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result = [] |
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for index, row in sheet.iterrows(): |
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row_string = "" |
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for column in sheet.columns: |
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row_string += f"{column}: {row[column]}, " |
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row_string = row_string.rstrip(", ") |
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row_string += "." |
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result.append(row_string) |
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return result |
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|
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def excel_to_string(file_path): |
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|
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excel_file = pd.read_excel(file_path, engine='openpyxl', sheet_name=None) |
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result = [] |
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|
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for sheet_name, sheet_data in excel_file.items(): |
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result += sheet_to_string(sheet_data, sheet_name=sheet_name) |
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return result |
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|
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def get_last_day_of_month(any_day): |
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|
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next_month = any_day.replace(day=28) + datetime.timedelta(days=4) |
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|
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return next_month - datetime.timedelta(days=next_month.day) |
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|
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def get_model_source(model_name, alternative_source): |
|
if model_name == "gpt2-medium": |
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return "https://huggingface.co/gpt2-medium" |
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|