优化Token溢出时的处理

This commit is contained in:
Your Name 2023-04-01 03:36:05 +08:00
parent 833d136fb9
commit 5e8eb6253c
9 changed files with 4851 additions and 66 deletions

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@ -23,6 +23,8 @@ else:
# [step 3]>> 以下配置可以优化体验,但大部分场合下并不需要修改
# 对话窗的高度
CHATBOT_HEIGHT = 1117
# 发送请求到OpenAI后等待多久判定为超时
TIMEOUT_SECONDS = 25

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@ -0,0 +1,433 @@
#pragma once
#include <atomic>
#include <utility>
#include <cstring>
#include <type_traits>
#include <cstdint>
#include "libipc/def.h"
#include "libipc/platform/detail.h"
#include "libipc/circ/elem_def.h"
#include "libipc/utility/log.h"
#include "libipc/utility/utility.h"
namespace ipc {
////////////////////////////////////////////////////////////////
/// producer-consumer implementation
////////////////////////////////////////////////////////////////
template <typename Flag>
struct prod_cons_impl;
template <>
struct prod_cons_impl<wr<relat::single, relat::single, trans::unicast>> {
template <std::size_t DataSize, std::size_t AlignSize>
struct elem_t {
std::aligned_storage_t<DataSize, AlignSize> data_ {};
};
alignas(cache_line_size) std::atomic<circ::u2_t> rd_; // read index
alignas(cache_line_size) std::atomic<circ::u2_t> wt_; // write index
constexpr circ::u2_t cursor() const noexcept {
return 0;
}
template <typename W, typename F, typename E>
bool push(W* /*wrapper*/, F&& f, E* elems) {
auto cur_wt = circ::index_of(wt_.load(std::memory_order_relaxed));
if (cur_wt == circ::index_of(rd_.load(std::memory_order_acquire) - 1)) {
return false; // full
}
std::forward<F>(f)(&(elems[cur_wt].data_));
wt_.fetch_add(1, std::memory_order_release);
return true;
}
/**
* In single-single-unicast, 'force_push' means 'no reader' or 'the only one reader is dead'.
* So we could just disconnect all connections of receiver, and return false.
*/
template <typename W, typename F, typename E>
bool force_push(W* wrapper, F&&, E*) {
wrapper->elems()->disconnect_receiver(~static_cast<circ::cc_t>(0u));
return false;
}
template <typename W, typename F, typename R, typename E>
bool pop(W* /*wrapper*/, circ::u2_t& /*cur*/, F&& f, R&& out, E* elems) {
auto cur_rd = circ::index_of(rd_.load(std::memory_order_relaxed));
if (cur_rd == circ::index_of(wt_.load(std::memory_order_acquire))) {
return false; // empty
}
std::forward<F>(f)(&(elems[cur_rd].data_));
std::forward<R>(out)(true);
rd_.fetch_add(1, std::memory_order_release);
return true;
}
};
template <>
struct prod_cons_impl<wr<relat::single, relat::multi , trans::unicast>>
: prod_cons_impl<wr<relat::single, relat::single, trans::unicast>> {
template <typename W, typename F, typename E>
bool force_push(W* wrapper, F&&, E*) {
wrapper->elems()->disconnect_receiver(1);
return false;
}
template <typename W, typename F, typename R,
template <std::size_t, std::size_t> class E, std::size_t DS, std::size_t AS>
bool pop(W* /*wrapper*/, circ::u2_t& /*cur*/, F&& f, R&& out, E<DS, AS>* elems) {
byte_t buff[DS];
for (unsigned k = 0;;) {
auto cur_rd = rd_.load(std::memory_order_relaxed);
if (circ::index_of(cur_rd) ==
circ::index_of(wt_.load(std::memory_order_acquire))) {
return false; // empty
}
std::memcpy(buff, &(elems[circ::index_of(cur_rd)].data_), sizeof(buff));
if (rd_.compare_exchange_weak(cur_rd, cur_rd + 1, std::memory_order_release)) {
std::forward<F>(f)(buff);
std::forward<R>(out)(true);
return true;
}
ipc::yield(k);
}
}
};
template <>
struct prod_cons_impl<wr<relat::multi , relat::multi, trans::unicast>>
: prod_cons_impl<wr<relat::single, relat::multi, trans::unicast>> {
using flag_t = std::uint64_t;
template <std::size_t DataSize, std::size_t AlignSize>
struct elem_t {
std::aligned_storage_t<DataSize, AlignSize> data_ {};
std::atomic<flag_t> f_ct_ { 0 }; // commit flag
};
alignas(cache_line_size) std::atomic<circ::u2_t> ct_; // commit index
template <typename W, typename F, typename E>
bool push(W* /*wrapper*/, F&& f, E* elems) {
circ::u2_t cur_ct, nxt_ct;
for (unsigned k = 0;;) {
cur_ct = ct_.load(std::memory_order_relaxed);
if (circ::index_of(nxt_ct = cur_ct + 1) ==
circ::index_of(rd_.load(std::memory_order_acquire))) {
return false; // full
}
if (ct_.compare_exchange_weak(cur_ct, nxt_ct, std::memory_order_acq_rel)) {
break;
}
ipc::yield(k);
}
auto* el = elems + circ::index_of(cur_ct);
std::forward<F>(f)(&(el->data_));
// set flag & try update wt
el->f_ct_.store(~static_cast<flag_t>(cur_ct), std::memory_order_release);
while (1) {
auto cac_ct = el->f_ct_.load(std::memory_order_acquire);
if (cur_ct != wt_.load(std::memory_order_relaxed)) {
return true;
}
if ((~cac_ct) != cur_ct) {
return true;
}
if (!el->f_ct_.compare_exchange_strong(cac_ct, 0, std::memory_order_relaxed)) {
return true;
}
wt_.store(nxt_ct, std::memory_order_release);
cur_ct = nxt_ct;
nxt_ct = cur_ct + 1;
el = elems + circ::index_of(cur_ct);
}
return true;
}
template <typename W, typename F, typename E>
bool force_push(W* wrapper, F&&, E*) {
wrapper->elems()->disconnect_receiver(1);
return false;
}
template <typename W, typename F, typename R,
template <std::size_t, std::size_t> class E, std::size_t DS, std::size_t AS>
bool pop(W* /*wrapper*/, circ::u2_t& /*cur*/, F&& f, R&& out, E<DS, AS>* elems) {
byte_t buff[DS];
for (unsigned k = 0;;) {
auto cur_rd = rd_.load(std::memory_order_relaxed);
auto cur_wt = wt_.load(std::memory_order_acquire);
auto id_rd = circ::index_of(cur_rd);
auto id_wt = circ::index_of(cur_wt);
if (id_rd == id_wt) {
auto* el = elems + id_wt;
auto cac_ct = el->f_ct_.load(std::memory_order_acquire);
if ((~cac_ct) != cur_wt) {
return false; // empty
}
if (el->f_ct_.compare_exchange_weak(cac_ct, 0, std::memory_order_relaxed)) {
wt_.store(cur_wt + 1, std::memory_order_release);
}
k = 0;
}
else {
std::memcpy(buff, &(elems[circ::index_of(cur_rd)].data_), sizeof(buff));
if (rd_.compare_exchange_weak(cur_rd, cur_rd + 1, std::memory_order_release)) {
std::forward<F>(f)(buff);
std::forward<R>(out)(true);
return true;
}
ipc::yield(k);
}
}
}
};
template <>
struct prod_cons_impl<wr<relat::single, relat::multi, trans::broadcast>> {
using rc_t = std::uint64_t;
enum : rc_t {
ep_mask = 0x00000000ffffffffull,
ep_incr = 0x0000000100000000ull
};
template <std::size_t DataSize, std::size_t AlignSize>
struct elem_t {
std::aligned_storage_t<DataSize, AlignSize> data_ {};
std::atomic<rc_t> rc_ { 0 }; // read-counter
};
alignas(cache_line_size) std::atomic<circ::u2_t> wt_; // write index
alignas(cache_line_size) rc_t epoch_ { 0 }; // only one writer
circ::u2_t cursor() const noexcept {
return wt_.load(std::memory_order_acquire);
}
template <typename W, typename F, typename E>
bool push(W* wrapper, F&& f, E* elems) {
E* el;
for (unsigned k = 0;;) {
circ::cc_t cc = wrapper->elems()->connections(std::memory_order_relaxed);
if (cc == 0) return false; // no reader
el = elems + circ::index_of(wt_.load(std::memory_order_relaxed));
// check all consumers have finished reading this element
auto cur_rc = el->rc_.load(std::memory_order_acquire);
circ::cc_t rem_cc = cur_rc & ep_mask;
if ((cc & rem_cc) && ((cur_rc & ~ep_mask) == epoch_)) {
return false; // has not finished yet
}
// consider rem_cc to be 0 here
if (el->rc_.compare_exchange_weak(
cur_rc, epoch_ | static_cast<rc_t>(cc), std::memory_order_release)) {
break;
}
ipc::yield(k);
}
std::forward<F>(f)(&(el->data_));
wt_.fetch_add(1, std::memory_order_release);
return true;
}
template <typename W, typename F, typename E>
bool force_push(W* wrapper, F&& f, E* elems) {
E* el;
epoch_ += ep_incr;
for (unsigned k = 0;;) {
circ::cc_t cc = wrapper->elems()->connections(std::memory_order_relaxed);
if (cc == 0) return false; // no reader
el = elems + circ::index_of(wt_.load(std::memory_order_relaxed));
// check all consumers have finished reading this element
auto cur_rc = el->rc_.load(std::memory_order_acquire);
circ::cc_t rem_cc = cur_rc & ep_mask;
if (cc & rem_cc) {
ipc::log("force_push: k = %u, cc = %u, rem_cc = %u\n", k, cc, rem_cc);
cc = wrapper->elems()->disconnect_receiver(rem_cc); // disconnect all invalid readers
if (cc == 0) return false; // no reader
}
// just compare & exchange
if (el->rc_.compare_exchange_weak(
cur_rc, epoch_ | static_cast<rc_t>(cc), std::memory_order_release)) {
break;
}
ipc::yield(k);
}
std::forward<F>(f)(&(el->data_));
wt_.fetch_add(1, std::memory_order_release);
return true;
}
template <typename W, typename F, typename R, typename E>
bool pop(W* wrapper, circ::u2_t& cur, F&& f, R&& out, E* elems) {
if (cur == cursor()) return false; // acquire
auto* el = elems + circ::index_of(cur++);
std::forward<F>(f)(&(el->data_));
for (unsigned k = 0;;) {
auto cur_rc = el->rc_.load(std::memory_order_acquire);
if ((cur_rc & ep_mask) == 0) {
std::forward<R>(out)(true);
return true;
}
auto nxt_rc = cur_rc & ~static_cast<rc_t>(wrapper->connected_id());
if (el->rc_.compare_exchange_weak(cur_rc, nxt_rc, std::memory_order_release)) {
std::forward<R>(out)((nxt_rc & ep_mask) == 0);
return true;
}
ipc::yield(k);
}
}
};
template <>
struct prod_cons_impl<wr<relat::multi, relat::multi, trans::broadcast>> {
using rc_t = std::uint64_t;
using flag_t = std::uint64_t;
enum : rc_t {
rc_mask = 0x00000000ffffffffull,
ep_mask = 0x00ffffffffffffffull,
ep_incr = 0x0100000000000000ull,
ic_mask = 0xff000000ffffffffull,
ic_incr = 0x0000000100000000ull
};
template <std::size_t DataSize, std::size_t AlignSize>
struct elem_t {
std::aligned_storage_t<DataSize, AlignSize> data_ {};
std::atomic<rc_t > rc_ { 0 }; // read-counter
std::atomic<flag_t> f_ct_ { 0 }; // commit flag
};
alignas(cache_line_size) std::atomic<circ::u2_t> ct_; // commit index
alignas(cache_line_size) std::atomic<rc_t> epoch_ { 0 };
circ::u2_t cursor() const noexcept {
return ct_.load(std::memory_order_acquire);
}
constexpr static rc_t inc_rc(rc_t rc) noexcept {
return (rc & ic_mask) | ((rc + ic_incr) & ~ic_mask);
}
constexpr static rc_t inc_mask(rc_t rc) noexcept {
return inc_rc(rc) & ~rc_mask;
}
template <typename W, typename F, typename E>
bool push(W* wrapper, F&& f, E* elems) {
E* el;
circ::u2_t cur_ct;
rc_t epoch = epoch_.load(std::memory_order_acquire);
for (unsigned k = 0;;) {
circ::cc_t cc = wrapper->elems()->connections(std::memory_order_relaxed);
if (cc == 0) return false; // no reader
el = elems + circ::index_of(cur_ct = ct_.load(std::memory_order_relaxed));
// check all consumers have finished reading this element
auto cur_rc = el->rc_.load(std::memory_order_relaxed);
circ::cc_t rem_cc = cur_rc & rc_mask;
if ((cc & rem_cc) && ((cur_rc & ~ep_mask) == epoch)) {
return false; // has not finished yet
}
else if (!rem_cc) {
auto cur_fl = el->f_ct_.load(std::memory_order_acquire);
if ((cur_fl != cur_ct) && cur_fl) {
return false; // full
}
}
// consider rem_cc to be 0 here
if (el->rc_.compare_exchange_weak(
cur_rc, inc_mask(epoch | (cur_rc & ep_mask)) | static_cast<rc_t>(cc), std::memory_order_relaxed) &&
epoch_.compare_exchange_weak(epoch, epoch, std::memory_order_acq_rel)) {
break;
}
ipc::yield(k);
}
// only one thread/process would touch here at one time
ct_.store(cur_ct + 1, std::memory_order_release);
std::forward<F>(f)(&(el->data_));
// set flag & try update wt
el->f_ct_.store(~static_cast<flag_t>(cur_ct), std::memory_order_release);
return true;
}
template <typename W, typename F, typename E>
bool force_push(W* wrapper, F&& f, E* elems) {
E* el;
circ::u2_t cur_ct;
rc_t epoch = epoch_.fetch_add(ep_incr, std::memory_order_release) + ep_incr;
for (unsigned k = 0;;) {
circ::cc_t cc = wrapper->elems()->connections(std::memory_order_relaxed);
if (cc == 0) return false; // no reader
el = elems + circ::index_of(cur_ct = ct_.load(std::memory_order_relaxed));
// check all consumers have finished reading this element
auto cur_rc = el->rc_.load(std::memory_order_acquire);
circ::cc_t rem_cc = cur_rc & rc_mask;
if (cc & rem_cc) {
ipc::log("force_push: k = %u, cc = %u, rem_cc = %u\n", k, cc, rem_cc);
cc = wrapper->elems()->disconnect_receiver(rem_cc); // disconnect all invalid readers
if (cc == 0) return false; // no reader
}
// just compare & exchange
if (el->rc_.compare_exchange_weak(
cur_rc, inc_mask(epoch | (cur_rc & ep_mask)) | static_cast<rc_t>(cc), std::memory_order_relaxed)) {
if (epoch == epoch_.load(std::memory_order_acquire)) {
break;
}
else if (push(wrapper, std::forward<F>(f), elems)) {
return true;
}
epoch = epoch_.fetch_add(ep_incr, std::memory_order_release) + ep_incr;
}
ipc::yield(k);
}
// only one thread/process would touch here at one time
ct_.store(cur_ct + 1, std::memory_order_release);
std::forward<F>(f)(&(el->data_));
// set flag & try update wt
el->f_ct_.store(~static_cast<flag_t>(cur_ct), std::memory_order_release);
return true;
}
template <typename W, typename F, typename R, typename E, std::size_t N>
bool pop(W* wrapper, circ::u2_t& cur, F&& f, R&& out, E(& elems)[N]) {
auto* el = elems + circ::index_of(cur);
auto cur_fl = el->f_ct_.load(std::memory_order_acquire);
if (cur_fl != ~static_cast<flag_t>(cur)) {
return false; // empty
}
++cur;
std::forward<F>(f)(&(el->data_));
for (unsigned k = 0;;) {
auto cur_rc = el->rc_.load(std::memory_order_acquire);
if ((cur_rc & rc_mask) == 0) {
std::forward<R>(out)(true);
el->f_ct_.store(cur + N - 1, std::memory_order_release);
return true;
}
auto nxt_rc = inc_rc(cur_rc) & ~static_cast<rc_t>(wrapper->connected_id());
bool last_one = false;
if ((last_one = (nxt_rc & rc_mask) == 0)) {
el->f_ct_.store(cur + N - 1, std::memory_order_release);
}
if (el->rc_.compare_exchange_weak(cur_rc, nxt_rc, std::memory_order_release)) {
std::forward<R>(out)(last_one);
return true;
}
ipc::yield(k);
}
}
};
} // namespace ipc

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@ -11,7 +11,7 @@ def 高阶功能模板函数(txt, top_p, temperature, chatbot, history, systemPr
for i in range(5):
currentMonth = (datetime.date.today() + datetime.timedelta(days=i)).month
currentDay = (datetime.date.today() + datetime.timedelta(days=i)).day
i_say = f'历史中哪些事件发生在{currentMonth}{currentDay}列举两条并发送相关图片。发送图片时请使用Markdown将Unsplash API中的PUT_YOUR_QUERY_HERE替换成描述改事件的三个最重要的单词。'
i_say = f'历史中哪些事件发生在{currentMonth}{currentDay}列举两条并发送相关图片。发送图片时请使用Markdown将Unsplash API中的PUT_YOUR_QUERY_HERE替换成描述该事件的一个最重要的单词。'
chatbot.append((i_say, "[Local Message] waiting gpt response."))
yield chatbot, history, '正常' # 由于请求gpt需要一段时间我们先及时地做一次状态显示

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@ -19,10 +19,10 @@ def get_crazy_functionals():
function_plugins = {
"请解析并解构此项目本身": {
# HotReload 的意思是热更新,修改函数插件后,不需要重启程序,代码直接生效
"AsButton": False, # 加入下拉菜单中
"Function": 解析项目本身
},
"解析整个py项目": {
"解析整个Py项目": {
"Color": "stop", # 按钮颜色
"Function": 解析一个Python项目
},
@ -32,9 +32,10 @@ def get_crazy_functionals():
},
"解析整个C++项目": {
"Color": "stop", # 按钮颜色
"AsButton": False, # 加入下拉菜单中
"Function": 解析一个C项目
},
"tex论文写摘要": {
"Tex论文写摘要": {
"Color": "stop", # 按钮颜色
"Function": 读文章写摘要
},
@ -52,7 +53,7 @@ def get_crazy_functionals():
},
}
# VisibleLevel=1 经过测试,但功能未达到理想状态
# VisibleLevel=1 经过测试,但功能上距离达到完美状态还差一点点
if UserVisibleLevel >= 1:
from crazy_functions.批量总结PDF文档 import 批量总结PDF文档
from crazy_functions.批量总结PDF文档pdfminer import 批量总结PDF文档pdfminer
@ -60,11 +61,11 @@ def get_crazy_functionals():
function_plugins.update({
"[仅供开发调试] 批量总结PDF文档": {
"Color": "stop",
# HotReload 的意思是热更新,修改函数插件代码后,不需要重启程序,代码直接生效
"Function": HotReload(批量总结PDF文档)
"Function": HotReload(批量总结PDF文档) # HotReload 的意思是热更新,修改函数插件代码后,不需要重启程序,代码直接生效
},
"[仅供开发调试] 批量总结PDF文档pdfminer": {
"Color": "stop",
"AsButton": False, # 加入下拉菜单中
"Function": HotReload(批量总结PDF文档pdfminer)
},
"[仅供开发调试] 批量总结Word文档": {

105
main.py
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@ -4,9 +4,8 @@ from predict import predict
from toolbox import format_io, find_free_port, on_file_uploaded, on_report_generated, get_conf
# 建议您复制一个config_private.py放自己的秘密, 如API和代理网址, 避免不小心传github被别人看到
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION = \
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION')
proxies, WEB_PORT, LLM_MODEL, CONCURRENT_COUNT, AUTHENTICATION, CHATBOT_HEIGHT = \
get_conf('proxies', 'WEB_PORT', 'LLM_MODEL', 'CONCURRENT_COUNT', 'AUTHENTICATION', 'CHATBOT_HEIGHT')
# 如果WEB_PORT是-1, 则随机选取WEB端口
PORT = find_free_port() if WEB_PORT <= 0 else WEB_PORT
@ -17,18 +16,18 @@ title_html = """<h1 align="center">ChatGPT 学术优化</h1>"""
# 问询记录, python 版本建议3.9+(越新越好)
import logging
os.makedirs('gpt_log', exist_ok=True)
try:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO, encoding='utf-8')
except:logging.basicConfig(filename='gpt_log/chat_secrets.log', level=logging.INFO)
print('所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log, 请注意自我隐私保护哦!')
os.makedirs("gpt_log", exist_ok=True)
try:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO, encoding="utf-8")
except:logging.basicConfig(filename="gpt_log/chat_secrets.log", level=logging.INFO)
print("所有问询记录将自动保存在本地目录./gpt_log/chat_secrets.log, 请注意自我隐私保护哦!")
# 一些普通功能模块
from functional import get_functionals
functional = get_functionals()
# 对一些丧心病狂的实验性功能模块进行测试
# 高级函数插件
from functional_crazy import get_crazy_functionals
crazy_functional = get_crazy_functionals()
crazy_fns = get_crazy_functionals()
# 处理markdown文本格式的转变
gr.Chatbot.postprocess = format_io
@ -40,11 +39,10 @@ set_theme = adjust_theme()
cancel_handles = []
with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
gr.HTML(title_html)
with gr.Row():
with gr.Row().style(equal_height=True):
with gr.Column(scale=2):
chatbot = gr.Chatbot()
chatbot.style(height=1150)
chatbot.style()
chatbot.style(height=CHATBOT_HEIGHT)
history = gr.State([])
with gr.Column(scale=1):
with gr.Row():
@ -66,49 +64,70 @@ with gr.Blocks(theme=set_theme, analytics_enabled=False) as demo:
with gr.Row():
gr.Markdown("注意以下“红颜色”标识的函数插件需从input区读取路径作为参数.")
with gr.Row():
for k in crazy_functional:
variant = crazy_functional[k]["Color"] if "Color" in crazy_functional[k] else "secondary"
crazy_functional[k]["Button"] = gr.Button(k, variant=variant)
for k in crazy_fns:
if not crazy_fns[k].get("AsButton", True): continue
variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary"
crazy_fns[k]["Button"] = gr.Button(k, variant=variant)
with gr.Row():
with gr.Accordion("展开“文件上传区”。上传本地文件供“红颜色”的函数插件调用。", open=False):
file_upload = gr.Files(label='任何文件, 但推荐上传压缩文件(zip, tar)', file_count="multiple")
with gr.Accordion("更多函数插件", open=True):
dropdown_fn_list = [k for k in crazy_fns.keys() if not crazy_fns[k].get("AsButton", True)]
with gr.Column(scale=1):
dropdown = gr.Dropdown(dropdown_fn_list, value=r"打开插件列表", label="").style(container=False)
with gr.Column(scale=1):
switchy_bt = gr.Button(r"请先从插件列表中选择", variant="secondary")
with gr.Row():
with gr.Accordion("点击展开“文件上传区”。上传本地文件可供红色函数插件调用。", open=False) as area_file_up:
file_upload = gr.Files(label="任何文件, 但推荐上传压缩文件(zip, tar)", file_count="multiple")
with gr.Accordion("展开SysPrompt & GPT参数 & 交互界面布局", open=False):
system_prompt = gr.Textbox(show_label=True, placeholder=f"System Prompt", label="System prompt", value=initial_prompt)
top_p = gr.Slider(minimum=-0, maximum=1.0, value=1.0, step=0.01,interactive=True, label="Top-p (nucleus sampling)",)
temperature = gr.Slider(minimum=-0, maximum=2.0, value=1.0, step=0.01, interactive=True, label="Temperature",)
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区"],
value=["基础功能区", "函数插件区"], label="显示哪些功能区")
checkboxes = gr.CheckboxGroup(["基础功能区", "函数插件区"], value=["基础功能区", "函数插件区"], label="显示/隐藏功能区")
def what_is_this(a):
# 功能区显示开关与功能区的互动
def fn_area_visibility(a):
ret = {}
# if area_basic_fn.visible != ("基础功能区" in a):
ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))})
# if area_crazy_fn.visible != ("函数插件区" in a):
ret.update({area_crazy_fn: gr.update(visible=("函数插件区" in a))})
ret.update({area_basic_fn: gr.update(visible=("基础功能区" in a))})
ret.update({area_crazy_fn: gr.update(visible=("函数插件区" in a))})
return ret
checkboxes.select(what_is_this, [checkboxes], [area_basic_fn, area_crazy_fn] )
predict_args = dict(fn=predict, inputs=[txt, top_p, temperature, chatbot, history, system_prompt], outputs=[chatbot, history, statusDisplay], show_progress=True)
checkboxes.select(fn_area_visibility, [checkboxes], [area_basic_fn, area_crazy_fn] )
# 整理反复出现的控件句柄组合
input_combo = [txt, top_p, temperature, chatbot, history, system_prompt]
output_combo = [chatbot, history, statusDisplay]
predict_args = dict(fn=predict, inputs=input_combo, outputs=output_combo, show_progress=True)
empty_txt_args = dict(fn=lambda: "", inputs=[], outputs=[txt]) # 用于在提交后清空输入栏
cancel_handles.append(txt.submit(**predict_args))
# txt.submit(**empty_txt_args) 在提交后清空输入栏
cancel_handles.append(submitBtn.click(**predict_args))
# submitBtn.click(**empty_txt_args) 在提交后清空输入栏
resetBtn.click(lambda: ([], [], "已重置"), None, [chatbot, history, statusDisplay])
# 提交按钮、重置按钮
cancel_handles.append(txt.submit(**predict_args)) #; txt.submit(**empty_txt_args) 在提交后清空输入栏
cancel_handles.append(submitBtn.click(**predict_args)) #; submitBtn.click(**empty_txt_args) 在提交后清空输入栏
resetBtn.click(lambda: ([], [], "已重置"), None, output_combo)
# 基础功能区的回调函数注册
for k in functional:
click_handle = functional[k]["Button"].click(predict,
[txt, top_p, temperature, chatbot, history, system_prompt, gr.State(True), gr.State(k)], [chatbot, history, statusDisplay], show_progress=True)
click_handle = functional[k]["Button"].click(predict, [*input_combo, gr.State(True), gr.State(k)], output_combo, show_progress=True)
cancel_handles.append(click_handle)
# 文件上传区接收文件后与chatbot的互动
file_upload.upload(on_file_uploaded, [file_upload, chatbot, txt], [chatbot, txt])
for k in crazy_functional:
click_handle = crazy_functional[k]["Button"].click(crazy_functional[k]["Function"],
[txt, top_p, temperature, chatbot, history, system_prompt, gr.State(PORT)], [chatbot, history, statusDisplay]
)
try: click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
except: pass
# 函数插件-固定按钮区
for k in crazy_fns:
if not crazy_fns[k].get("AsButton", True): continue
click_handle = crazy_fns[k]["Button"].click(crazy_fns[k]["Function"], [*input_combo, gr.State(PORT)], output_combo)
click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
cancel_handles.append(click_handle)
# 函数插件-下拉菜单与随变按钮的互动
def on_dropdown_changed(k):
variant = crazy_fns[k]["Color"] if "Color" in crazy_fns[k] else "secondary"
return {switchy_bt: gr.update(value=k, variant=variant)}
dropdown.select(on_dropdown_changed, [dropdown], [switchy_bt] )
# 随变按钮的回调函数注册
def route(k, *args, **kwargs):
if k in [r"打开插件列表", r"先从插件列表中选择"]: return
yield from crazy_fns[k]["Function"](*args, **kwargs)
click_handle = switchy_bt.click(route,[switchy_bt, *input_combo, gr.State(PORT)], output_combo)
click_handle.then(on_report_generated, [file_upload, chatbot], [file_upload, chatbot])
def expand_file_area(file_upload, area_file_up):
if len(file_upload)>0: return {area_file_up: gr.update(open=True)}
click_handle.then(expand_file_area, [file_upload, area_file_up], [area_file_up])
cancel_handles.append(click_handle)
# 终止按钮的回调函数注册
stopBtn.click(fn=None, inputs=None, outputs=None, cancels=cancel_handles)
# gradio的inbrowser触发不太稳定回滚代码到原始的浏览器打开函数
@ -117,7 +136,7 @@ def auto_opentab_delay():
print(f"如果浏览器没有自动打开请复制并转到以下URL: http://localhost:{PORT}")
def open():
time.sleep(2)
webbrowser.open_new_tab(f'http://localhost:{PORT}')
webbrowser.open_new_tab(f"http://localhost:{PORT}")
threading.Thread(target=open, name="open-browser", daemon=True).start()
auto_opentab_delay()

View File

@ -96,13 +96,19 @@ def predict_no_ui_long_connection(inputs, top_p, temperature, history=[], sys_pr
except StopIteration: break
if len(chunk)==0: continue
if not chunk.startswith('data:'):
chunk = get_full_error(chunk.encode('utf8'), stream_response)
raise ConnectionAbortedError("OpenAI拒绝了请求:" + chunk.decode())
delta = json.loads(chunk.lstrip('data:'))['choices'][0]["delta"]
error_msg = get_full_error(chunk.encode('utf8'), stream_response).decode()
if "reduce the length" in error_msg:
raise ConnectionAbortedError("OpenAI拒绝了请求:" + error_msg)
else:
raise RuntimeError("OpenAI拒绝了请求" + error_msg)
json_data = json.loads(chunk.lstrip('data:'))['choices'][0]
delta = json_data["delta"]
if len(delta) == 0: break
if "role" in delta: continue
if "content" in delta: result += delta["content"]; print(delta["content"], end='')
else: raise RuntimeError("意外Json结构"+delta)
if json_data['finish_reason'] == 'length':
raise ConnectionAbortedError("正常结束但显示Token不足。")
return result

View File

@ -2,21 +2,21 @@ import markdown, mdtex2html, threading, importlib, traceback, importlib, inspect
from show_math import convert as convert_math
from functools import wraps
def get_reduce_token_percent(e):
def get_reduce_token_percent(text):
try:
# text = "maximum context length is 4097 tokens. However, your messages resulted in 4870 tokens"
pattern = r"(\d+)\s+tokens\b"
match = re.findall(pattern, text)
eps = 50 # 稍微留一点余地, 确保下次别再超过token
max_limit = float(match[0]) - eps
EXCEED_ALLO = 500 # 稍微留一点余地,否则在回复时会因余量太少出问题
max_limit = float(match[0]) - EXCEED_ALLO
current_tokens = float(match[1])
ratio = max_limit/current_tokens
assert ratio > 0 and ratio < 1
return ratio
return ratio, str(int(current_tokens-max_limit))
except:
return 0.5
return 0.5, '不详'
def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt='', long_connection=False):
def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temperature, history=[], sys_prompt='', long_connection=True):
"""
调用简单的predict_no_ui接口但是依然保留了些许界面心跳功能当对话太长时会自动采用二分法截断
i_say: 当前输入
@ -45,19 +45,18 @@ def predict_no_ui_but_counting_down(i_say, i_say_show_user, chatbot, top_p, temp
break
except ConnectionAbortedError as token_exceeded_error:
# 尝试计算比例,尽可能多地保留文本
p_ratio = get_reduce_token_percent(str(token_exceeded_error))
p_ratio, n_exceed = get_reduce_token_percent(str(token_exceeded_error))
if len(history) > 0:
history = [his[ int(len(his) *p_ratio): ] for his in history if his is not None]
mutable[1] = 'Warning! History conversation is too long, cut into half. '
else:
i_say = i_say[: int(len(i_say) *p_ratio) ]
mutable[1] = 'Warning! Input file is too long, cut into half. '
mutable[1] = f'警告文本过长将进行截断Token溢出数{n_exceed},截断比例:{(1-p_ratio):.0%}'
except TimeoutError as e:
mutable[0] = '[Local Message] Failed with timeout.'
mutable[0] = '[Local Message] 请求超时。'
raise TimeoutError
except Exception as e:
mutable[0] = f'[Local Message] Failed with {str(e)}.'
raise RuntimeError(f'[Local Message] Failed with {str(e)}.')
mutable[0] = f'[Local Message] 异常:{str(e)}.'
raise RuntimeError(f'[Local Message] 异常:{str(e)}.')
# 创建新线程发出http请求
thread_name = threading.Thread(target=mt, args=(i_say, history)); thread_name.start()
# 原来的线程则负责持续更新UI实现一个超时倒计时并等待新线程的任务完成
@ -286,7 +285,7 @@ def on_report_generated(files, chatbot):
report_files = find_recent_files('gpt_log')
if len(report_files) == 0: return report_files, chatbot
# files.extend(report_files)
chatbot.append(['汇总报告如何远程获取?', '汇总报告已经添加到右侧文件上传区,请查收。'])
chatbot.append(['汇总报告如何远程获取?', '汇总报告已经添加到右侧文件上传区”(可能处于折叠状态),请查收。'])
return report_files, chatbot
def get_conf(*args):