mirror of
https://github.com/xtekky/gpt4free.git
synced 2024-12-25 04:01:52 +03:00
gui: remove cursor on errors
Add auth header to GeminiPro provider
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parent
84b3a19c9d
commit
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@ -32,17 +32,20 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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model = "gemini-pro-vision" if not model and image else model
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model = cls.get_model(model)
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if not api_key and not api_base:
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raise MissingAuthError('Missing "api_key" or "api_base"')
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if not api_key:
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raise MissingAuthError('Missing "api_key"')
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if not api_base:
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api_base = f"https://generativelanguage.googleapis.com/v1beta"
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method = "streamGenerateContent" if stream else "generateContent"
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url = f"{api_base.rstrip('/')}/models/{model}:{method}"
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if api_key:
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headers = None
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if api_base:
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headers = {f"Authorization": "Bearer {api_key}"}
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else:
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url += f"?key={api_key}"
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async with ClientSession() as session:
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async with ClientSession(headers=headers) as session:
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contents = [
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{
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"role": "model" if message["role"] == "assistant" else message["role"],
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@ -79,12 +82,11 @@ class GeminiPro(AsyncGeneratorProvider, ProviderModelMixin):
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lines = [b"{\n"]
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elif chunk == b",\r\n" or chunk == b"]":
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try:
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data = b"".join(lines)
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data = json.loads(data)
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data = json.loads(b"".join(lines))
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yield data["candidates"][0]["content"]["parts"][0]["text"]
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except:
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data = data.decode() if isinstance(data, bytes) else data
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raise RuntimeError(f"Read chunk failed. data: {data}")
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raise RuntimeError(f"Read chunk failed: {data}")
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lines = []
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else:
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lines.append(chunk)
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@ -78,7 +78,7 @@ class Liaobots(AsyncGeneratorProvider, ProviderModelMixin):
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supports_gpt_35_turbo = True
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supports_gpt_4 = True
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default_model = "gpt-3.5-turbo"
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models = [m for m in models]
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models = list(models)
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model_aliases = {
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"claude-v2": "claude-2"
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}
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@ -3,7 +3,6 @@ const markdown = window.markdownit();
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const message_box = document.getElementById(`messages`);
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const message_input = document.getElementById(`message-input`);
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const box_conversations = document.querySelector(`.top`);
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const spinner = box_conversations.querySelector(".spinner");
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const stop_generating = document.querySelector(`.stop_generating`);
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const regenerate = document.querySelector(`.regenerate`);
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const send_button = document.querySelector(`#send-button`);
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@ -71,6 +70,7 @@ const handle_ask = async () => {
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message_input.style.height = `82px`;
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message_input.focus();
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window.scrollTo(0, 0);
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message = message_input.value
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if (message.length > 0) {
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message_input.value = '';
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@ -292,13 +292,16 @@ const ask_gpt = async () => {
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if (!error) {
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await add_message(window.conversation_id, "assistant", text, provider);
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await load_conversation(window.conversation_id);
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} else {
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let cursorDiv = document.getElementById(`cursor`);
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if (cursorDiv) cursorDiv.parentNode.removeChild(cursorDiv);
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}
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message_box.scrollTop = message_box.scrollHeight;
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await remove_cancel_button();
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await register_remove_message();
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prompt_lock = false;
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window.scrollTo(0, 0);
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await load_conversations(20, 0);
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await load_conversations();
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regenerate.classList.remove(`regenerate-hidden`);
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};
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@ -357,7 +360,7 @@ const delete_conversation = async (conversation_id) => {
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await new_conversation();
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}
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await load_conversations(20, 0, true);
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await load_conversations();
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};
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const set_conversation = async (conversation_id) => {
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@ -366,7 +369,7 @@ const set_conversation = async (conversation_id) => {
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await clear_conversation();
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await load_conversation(conversation_id);
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await load_conversations(20, 0, true);
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await load_conversations();
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};
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const new_conversation = async () => {
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@ -374,7 +377,7 @@ const new_conversation = async () => {
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window.conversation_id = uuid();
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await clear_conversation();
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await load_conversations(20, 0, true);
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await load_conversations();
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await say_hello()
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};
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@ -439,14 +442,14 @@ function count_words(text) {
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}
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function count_tokens(model, text) {
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if (model.startsWith("gpt-3") || model.startsWith("gpt-4")) {
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return GPTTokenizer_cl100k_base?.encode(text).length
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if (model.startsWith("gpt-3") || model.startsWith("gpt-4") || model.startsWith("text-davinci")) {
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return GPTTokenizer_cl100k_base?.encode(text).length;
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}
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if (model.startsWith("llama2") || model.startsWith("codellama")) {
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return llamaTokenizer?.encode(text).length
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return llamaTokenizer?.encode(text).length;
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}
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if (model.startsWith("mistral") || model.startsWith("mixtral")) {
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return mistralTokenizer?.encode(text).length
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return mistralTokenizer?.encode(text).length;
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}
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}
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@ -530,7 +533,7 @@ const add_message = async (conversation_id, role, content, provider) => {
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return conversation.items.length - 1;
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};
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const load_conversations = async (limit, offset, loader) => {
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const load_conversations = async () => {
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let conversations = [];
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for (let i = 0; i < localStorage.length; i++) {
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if (localStorage.key(i).startsWith("conversation:")) {
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@ -554,7 +557,6 @@ const load_conversations = async (limit, offset, loader) => {
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</div>
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`;
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}
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};
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document.getElementById(`cancelButton`).addEventListener(`click`, async () => {
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@ -697,10 +699,8 @@ window.onload = async () => {
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}
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}
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if (conversations == 0) localStorage.clear();
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await setTimeout(() => {
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load_conversations(20, 0);
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load_conversations();
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}, 1);
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if (/\/chat\/.+/.test(window.location.href)) {
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@ -780,15 +780,17 @@ observer.observe(message_input, { attributes: true });
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versions = await response.json()
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document.title = 'g4f - gui - ' + versions["version"];
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text = "version ~ "
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let text = "version ~ "
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if (versions["version"] != versions["latest_version"]) {
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release_url = 'https://github.com/xtekky/gpt4free/releases/tag/' + versions["latest_version"];
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text += '<a href="' + release_url +'" target="_blank" title="New version: ' + versions["latest_version"] +'">' + versions["version"] + ' 🆕</a>';
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let release_url = 'https://github.com/xtekky/gpt4free/releases/tag/' + versions["latest_version"];
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let title = `New version: ${versions["latest_version"]}`;
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text += `<a href="${release_url}" target="_blank" title="${title}">${versions["version"]} 🆕</a>`;
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} else {
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text += versions["version"];
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}
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document.getElementById("version_text").innerHTML = text
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})()
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for (const el of [imageInput, cameraInput]) {
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el.addEventListener('click', async () => {
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el.value = '';
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@ -798,6 +800,7 @@ for (const el of [imageInput, cameraInput]) {
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}
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});
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}
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fileInput.addEventListener('click', async (event) => {
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fileInput.value = '';
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delete fileInput.dataset.text;
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