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author | Heiner Lohaus <hlohaus@users.noreply.github.com> | 2024-03-09 19:05:05 +0100 |
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committer | Heiner Lohaus <hlohaus@users.noreply.github.com> | 2024-03-09 19:05:05 +0100 |
commit | 74a33f10dd4bcac9e9f9716ffa27d3876fc976a0 (patch) | |
tree | 80ba1d0a2d2cdbe44b6ad83c378057772d92725f /g4f | |
parent | Add system message input to gui (diff) | |
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Diffstat (limited to '')
-rw-r--r-- | g4f/Provider/GeminiPro.py | 2 | ||||
-rw-r--r-- | g4f/Provider/bing/conversation.py | 2 | ||||
-rw-r--r-- | g4f/gui/client/css/style.css | 22 | ||||
-rw-r--r-- | g4f/gui/client/html/index.html | 5 | ||||
-rw-r--r-- | g4f/gui/client/js/chat.v1.js | 210 |
5 files changed, 122 insertions, 119 deletions
diff --git a/g4f/Provider/GeminiPro.py b/g4f/Provider/GeminiPro.py index a22304d5..4e31915a 100644 --- a/g4f/Provider/GeminiPro.py +++ b/g4f/Provider/GeminiPro.py @@ -32,7 +32,7 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin): connector: BaseConnector = None, **kwargs ) -> AsyncResult: - model = "gemini-pro-vision" if model is None and image is not None else model + model = "gemini-pro-vision" if not model and image is not None else model model = cls.get_model(model) if not api_key: diff --git a/g4f/Provider/bing/conversation.py b/g4f/Provider/bing/conversation.py index 919d9c1d..4af9e5fe 100644 --- a/g4f/Provider/bing/conversation.py +++ b/g4f/Provider/bing/conversation.py @@ -46,7 +46,7 @@ async def create_conversation(session: ClientSession, proxy: str = None) -> Conv } for k, v in headers.items(): session.headers[k] = v - url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1579.2' + url = 'https://www.bing.com/turing/conversation/create?bundleVersion=1.1626.1' async with session.get(url, headers=headers, proxy=proxy) as response: try: data = await response.json() diff --git a/g4f/gui/client/css/style.css b/g4f/gui/client/css/style.css index 9e42b1e3..eb71fa72 100644 --- a/g4f/gui/client/css/style.css +++ b/g4f/gui/client/css/style.css @@ -205,6 +205,12 @@ body { gap: 10px; } +.conversations .convo .choise { + position: absolute; + right: 8px; + background-color: var(--blur-bg); +} + .conversations i { color: var(--conversations); cursor: pointer; @@ -227,6 +233,10 @@ body { padding-bottom: 0; } +.message.regenerate { + opacity: 0.75; +} + .message:last-child { animation: 0.6s show_message; } @@ -397,7 +407,7 @@ body { padding: 6px var(--inner-gap); } -.stop_generating, .regenerate { +.stop_generating, .toolbar .regenerate { position: absolute; z-index: 1000000; top: 0; @@ -405,14 +415,14 @@ body { } @media only screen and (min-width: 40em) { - .stop_generating, .regenerate { + .stop_generating, .toolbar .regenerate { left: 50%; transform: translateX(-50%); right: auto; } } -.stop_generating button, .regenerate button{ +.stop_generating button, .toolbar .regenerate button{ backdrop-filter: blur(20px); -webkit-backdrop-filter: blur(20px); background-color: var(--blur-bg); @@ -602,7 +612,6 @@ select { .input-box { display: flex; align-items: center; - padding-right: var(--inner-gap); cursor: pointer; } @@ -991,8 +1000,9 @@ a:-webkit-any-link { padding-right: 5px; padding-top: 2px; padding-bottom: 2px; - top: 20px; - left: 8px; + position: absolute; + bottom: 8px; + right: 8px; } #send-button:hover { diff --git a/g4f/gui/client/html/index.html b/g4f/gui/client/html/index.html index 5a9d1178..85192d23 100644 --- a/g4f/gui/client/html/index.html +++ b/g4f/gui/client/html/index.html @@ -37,10 +37,6 @@ import llamaTokenizer from "llama-tokenizer-js" </script> <script src="https://unpkg.com/gpt-tokenizer/dist/cl100k_base.js" async></script> - <script type="module" async> - import { countWords } from 'https://esm.run/alfaaz'; - window.countWords = countWords; - </script> <script> const user_image = '<img src="/assets/img/user.png" alt="your avatar">'; const gpt_image = '<img src="/assets/img/gpt.png" alt="your avatar">'; @@ -55,7 +51,6 @@ } #message-input { - margin-right: 30px; height: 82px; margin-left: 20px; } diff --git a/g4f/gui/client/js/chat.v1.js b/g4f/gui/client/js/chat.v1.js index 3d9945d9..8dd17275 100644 --- a/g4f/gui/client/js/chat.v1.js +++ b/g4f/gui/client/js/chat.v1.js @@ -1,13 +1,13 @@ const colorThemes = document.querySelectorAll('[name="theme"]'); const markdown = window.markdownit(); const message_box = document.getElementById(`messages`); -const message_input = document.getElementById(`message-input`); +const messageInput = document.getElementById(`message-input`); const box_conversations = document.querySelector(`.top`); const stop_generating = document.querySelector(`.stop_generating`); const regenerate = document.querySelector(`.regenerate`); const sidebar = document.querySelector(".conversations"); const sidebar_button = document.querySelector(".mobile-sidebar"); -const send_button = document.getElementById("send-button"); +const sendButton = document.getElementById("send-button"); const imageInput = document.getElementById("image"); const cameraInput = document.getElementById("camera"); const fileInput = document.getElementById("file"); @@ -19,11 +19,11 @@ let prompt_lock = false; hljs.addPlugin(new CopyButtonPlugin()); -message_input.addEventListener("blur", () => { +messageInput.addEventListener("blur", () => { window.scrollTo(0, 0); }); -message_input.addEventListener("focus", () => { +messageInput.addEventListener("focus", () => { document.documentElement.scrollTop = document.documentElement.scrollHeight; }); @@ -60,7 +60,7 @@ const register_remove_message = async () => { } const message_el = el.parentElement.parentElement; await remove_message(window.conversation_id, message_el.dataset.index); - await load_conversation(window.conversation_id); + await load_conversation(window.conversation_id, false); }) } }); @@ -78,13 +78,13 @@ const delete_conversations = async () => { }; const handle_ask = async () => { - message_input.style.height = `82px`; - message_input.focus(); + messageInput.style.height = "82px"; + messageInput.focus(); window.scrollTo(0, 0); - message = message_input.value + message = messageInput.value if (message.length > 0) { - message_input.value = ''; + messageInput.value = ""; prompt_lock = true; count_input() await add_conversation(window.conversation_id, message); @@ -158,17 +158,19 @@ const prepare_messages = (messages, filter_last_message = true) => { } let new_messages = []; - for (i in messages) { - new_message = messages[i]; - // Remove generated images from history - new_message.content = new_message.content.replaceAll( - /<!-- generated images start -->[\s\S]+<!-- generated images end -->/gm, - "" - ) - delete new_message["provider"]; - // Remove regenerated messages - if (!new_message.regenerate) { - new_messages.push(new_message) + if (messages) { + for (i in messages) { + new_message = messages[i]; + // Remove generated images from history + new_message.content = new_message.content.replaceAll( + /<!-- generated images start -->[\s\S]+<!-- generated images end -->/gm, + "" + ) + delete new_message["provider"]; + // Remove regenerated messages + if (!new_message.regenerate) { + new_messages.push(new_message) + } } } @@ -263,11 +265,13 @@ const ask_gpt = async () => { const { value, done } = await reader.read(); if (done) break; for (const line of value.split("\n")) { - if (!line) continue; + if (!line) { + continue; + } const message = JSON.parse(line); if (message.type == "content") { text += message.content; - } else if (message["type"] == "provider") { + } else if (message.type == "provider") { provider_result = message.provider content.querySelector('.provider').innerHTML = ` <a href="${provider_result.url}" target="_blank"> @@ -275,21 +279,21 @@ const ask_gpt = async () => { </a> ${provider_result.model ? ' with ' + provider_result.model : ''} ` - } else if (message["type"] == "error") { - error = message["error"]; - } else if (message["type"] == "message") { - console.error(message["message"]) + } else if (message.type == "error") { + error = message.error; + } else if (messag.type == "message") { + console.error(messag.message) } } if (error) { console.error(error); - content_inner.innerHTML += "<p>An error occured, please try again, if the problem persists, please use a other model or provider.</p>"; + content_inner.innerHTML += `<p><strong>An error occured:</strong> ${error}</p>`; } else { html = markdown_render(text); let lastElement, lastIndex = null; - for (element of ['</p>', '</code></pre>', '</li>\n</ol>', '</li>\n</ul>']) { + for (element of ['</p>', '</code></pre>', '</p>\n</li>\n</ol>', '</li>\n</ol>', '</li>\n</ul>']) { const index = html.lastIndexOf(element) - if (index > lastIndex) { + if (index - element.length > lastIndex) { lastElement = element; lastIndex = index; } @@ -308,7 +312,6 @@ const ask_gpt = async () => { } } if (!error) { - // Remove cursor html = markdown_render(text); content_inner.innerHTML = html; highlight(content_inner); @@ -319,17 +322,16 @@ const ask_gpt = async () => { } } catch (e) { console.error(e); - if (e.name != "AbortError") { error = true; text = "oops ! something went wrong, please try again / reload. [stacktrace in console]"; content_inner.innerHTML = text; } else { - content_inner.innerHTML += ` [aborted]`; - text += ` [aborted]` + content_inner.innerHTML += " [aborted]"; + if (text) text += " [aborted]"; } } - if (!error) { + if (!error && text) { await add_message(window.conversation_id, "assistant", text, provider_result); await load_conversation(window.conversation_id); } else { @@ -368,30 +370,22 @@ const clear_conversation = async () => { while (messages.length > 0) { message_box.removeChild(messages[0]); } - - if (systemPrompt) { - systemPrompt.value = ""; - } }; const show_option = async (conversation_id) => { const conv = document.getElementById(`conv-${conversation_id}`); - const yes = document.getElementById(`yes-${conversation_id}`); - const not = document.getElementById(`not-${conversation_id}`); + const choi = document.getElementById(`cho-${conversation_id}`); - conv.style.display = `none`; - yes.style.display = `block`; - not.style.display = `block`; + conv.style.display = "none"; + choi.style.display = "block"; }; const hide_option = async (conversation_id) => { const conv = document.getElementById(`conv-${conversation_id}`); - const yes = document.getElementById(`yes-${conversation_id}`); - const not = document.getElementById(`not-${conversation_id}`); + const choi = document.getElementById(`cho-${conversation_id}`); - conv.style.display = `block`; - yes.style.display = `none`; - not.style.display = `none`; + conv.style.display = "block"; + choi.style.display = "none"; }; const delete_conversation = async (conversation_id) => { @@ -422,12 +416,15 @@ const new_conversation = async () => { window.conversation_id = uuid(); await clear_conversation(); + if (systemPrompt) { + systemPrompt.value = ""; + } load_conversations(); hide_sidebar(); say_hello(); }; -const load_conversation = async (conversation_id) => { +const load_conversation = async (conversation_id, scroll = true) => { let conversation = await get_conversation(conversation_id); let messages = conversation?.items || []; @@ -451,7 +448,7 @@ const load_conversation = async (conversation_id) => { </div> ` : ""; elements += ` - <div class="message" data-index="${i}"> + <div class="message${item.regenerate ? " regenerate": ""}" data-index="${i}"> <div class="${item.role}"> ${item.role == "assistant" ? gpt_image : user_image} <i class="fa-solid fa-xmark"></i> @@ -483,30 +480,14 @@ const load_conversation = async (conversation_id) => { register_remove_message(); highlight(message_box); - message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" }); - - setTimeout(() => { - message_box.scrollTop = message_box.scrollHeight; - }, 500); -}; + if (scroll) { + message_box.scrollTo({ top: message_box.scrollHeight, behavior: "smooth" }); -function count_tokens(model, text) { - if (model.startsWith("gpt-3") || model.startsWith("gpt-4")) { - return GPTTokenizer_cl100k_base?.encode(text).length; + setTimeout(() => { + message_box.scrollTop = message_box.scrollHeight; + }, 500); } - if (model.startsWith("llama2") || model.startsWith("codellama")) { - return llamaTokenizer?.encode(text).length; - } - if (model.startsWith("mistral") || model.startsWith("mixtral")) { - return mistralTokenizer?.encode(text).length; - } -} - -function count_words_and_tokens(text, model) { - const tokens_count = model ? count_tokens(model, text) : null; - const tokens_append = tokens_count ? `, ${tokens_count} tokens` : ""; - return countWords ? `(${countWords(text)} words${tokens_append})` : ""; -} +}; async function get_conversation(conversation_id) { let conversation = await JSON.parse( @@ -556,10 +537,12 @@ async function save_system_message() { const hide_last_message = async (conversation_id) => { const conversation = await get_conversation(conversation_id) const last_message = conversation.items.pop(); - if (last_message["role"] == "assistant") { - last_message["regenerate"] = true; + if (last_message !== null) { + if (last_message["role"] == "assistant") { + last_message["regenerate"] = true; + } + conversation.items.push(last_message); } - conversation.items.push(last_message); await save_conversation(conversation_id, conversation); }; @@ -568,7 +551,9 @@ const remove_message = async (conversation_id, index) => { let new_items = []; for (i in conversation.items) { if (i == index - 1) { - delete conversation.items[i]["regenerate"]; + if (!conversation.items[index]?.regenerate) { + delete conversation.items[i]["regenerate"]; + } } if (i != index) { new_items.push(conversation.items[i]) @@ -609,8 +594,10 @@ const load_conversations = async () => { <span class="convo-title">${conversation.title}</span> </div> <i onclick="show_option('${conversation.id}')" class="fa-regular fa-trash" id="conv-${conversation.id}"></i> - <i onclick="delete_conversation('${conversation.id}')" class="fa-regular fa-check" id="yes-${conversation.id}" style="display:none;"></i> - <i onclick="hide_option('${conversation.id}')" class="fa-regular fa-x" id="not-${conversation.id}" style="display:none;"></i> + <div id="cho-${conversation.id}" class="choise" style="display:none;"> + <i onclick="delete_conversation('${conversation.id}')" class="fa-regular fa-check"></i> + <i onclick="hide_option('${conversation.id}')" class="fa-regular fa-x"></i> + </div> </div> `; } @@ -748,15 +735,45 @@ colorThemes.forEach((themeOption) => { }); }); +function count_tokens(model, text) { + if (model) { + if (model.startsWith("llama2") || model.startsWith("codellama")) { + return llamaTokenizer?.encode(text).length; + } + if (model.startsWith("mistral") || model.startsWith("mixtral")) { + return mistralTokenizer?.encode(text).length; + } + } + return GPTTokenizer_cl100k_base?.encode(text).length; +} + +function count_words(text) { + return text.trim().match(/[\w\u4E00-\u9FA5]+/gu)?.length || 0; +} + +function count_words_and_tokens(text, model) { + return `(${count_words(text)} words, ${count_tokens(model, text)} tokens)`; +} + +let countFocus = messageInput; const count_input = async () => { - if (message_input.value) { + if (countFocus.value) { model = modelSelect.options[modelSelect.selectedIndex].value; - inputCount.innerText = count_words_and_tokens(message_input.value, model); + inputCount.innerText = count_words_and_tokens(countFocus.value, model); } else { inputCount.innerHTML = " " } }; -message_input.addEventListener("keyup", count_input); +messageInput.addEventListener("keyup", count_input); +systemPrompt.addEventListener("keyup", count_input); +systemPrompt.addEventListener("focus", function() { + countFocus = systemPrompt; + count_input(); +}); +systemPrompt.addEventListener("blur", function() { + countFocus = messageInput; + count_input(); +}); window.onload = async () => { setTheme(); @@ -771,7 +788,7 @@ window.onload = async () => { load_conversations(); - message_input.addEventListener("keydown", async (evt) => { + messageInput.addEventListener("keydown", async (evt) => { if (prompt_lock) return; if (evt.keyCode === 13 && !evt.shiftKey) { @@ -779,41 +796,22 @@ window.onload = async () => { console.log("pressed enter"); await handle_ask(); } else { - message_input.style.removeProperty("height"); - message_input.style.height = message_input.scrollHeight + "px"; + messageInput.style.removeProperty("height"); + messageInput.style.height = messageInput.scrollHeight + "px"; } }); - send_button.addEventListener(`click`, async () => { + sendButton.addEventListener(`click`, async () => { console.log("clicked send"); if (prompt_lock) return; await handle_ask(); }); + messageInput.focus(); + register_settings_localstorage(); }; -const observer = new MutationObserver((mutationsList) => { - for (const mutation of mutationsList) { - if (mutation.type === 'attributes' && mutation.attributeName === 'style') { - const height = message_input.offsetHeight; - - let heightValues = { - 81: "20px", - 82: "20px", - 100: "30px", - 119: "39px", - 138: "49px", - 150: "55px" - } - - send_button.style.top = heightValues[height] || ''; - } - } -}); - -observer.observe(message_input, { attributes: true }); - (async () => { response = await fetch('/backend-api/v2/models') models = await response.json() |