Merge pull request #1820 from hlohaus/bugfix

Add ReplicateImage Provider, Fix BingCreateImages Provider

g4f/Provider/BingCreateImages.py

@@ -7,16 +7,33 @@ from typing import Iterator, Union
 from ..cookies import get_cookies
 from ..image import ImageResponse
 from ..errors import MissingRequirementsError, MissingAuthError
-from ..typing import Cookies
+from ..typing import AsyncResult, Messages, Cookies
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
 from .bing.create_images import create_images, create_session, get_cookies_from_browser
 
-class BingCreateImages:
+class BingCreateImages(AsyncGeneratorProvider, ProviderModelMixin):
-    """A class for creating images using Bing."""
+    url = "https://www.bing.com/images/create"
+    working = True
 
     def __init__(self, cookies: Cookies = None, proxy: str = None) -> None:
         self.cookies: Cookies = cookies
         self.proxy: str = proxy
 
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        api_key: str = None,
+        cookies: Cookies = None,
+        proxy: str = None,
+        **kwargs
+    ) -> AsyncResult:
+        if api_key is not None:
+            cookies = {"_U": api_key}
+        session = BingCreateImages(cookies, proxy)
+        yield await session.create_async(messages[-1]["content"])
+
     def create(self, prompt: str) -> Iterator[Union[ImageResponse, str]]:
         """
         Generator for creating imagecompletion based on a prompt.

g4f/Provider/DeepInfra.py

@@ -35,7 +35,6 @@ class DeepInfra(Openai):
             'Accept-Encoding': 'gzip, deflate, br',
             'Accept-Language': 'en-US',
             'Connection': 'keep-alive',
-            'Content-Type': None,
             'Origin': 'https://deepinfra.com',
             'Referer': 'https://deepinfra.com/',
             'Sec-Fetch-Dest': 'empty',
@@ -43,7 +42,6 @@ class DeepInfra(Openai):
             'Sec-Fetch-Site': 'same-site',
             'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
             'X-Deepinfra-Source': 'web-embed',
-            'Accept': None,
             'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
             'sec-ch-ua-mobile': '?0',
             'sec-ch-ua-platform': '"macOS"',

g4f/Provider/ReplicateImage.py

@@ -0,0 +1,96 @@
+from __future__ import annotations
+
+import random
+import asyncio
+
+from .base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..typing import AsyncResult, Messages
+from ..requests import StreamSession, raise_for_status
+from ..image import ImageResponse
+from ..errors import ResponseError
+
+class ReplicateImage(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://replicate.com"
+    working = True
+    default_model = 'stability-ai/sdxl'
+    default_versions = [
+        "39ed52f2a78e934b3ba6e2a89f5b1c712de7dfea535525255b1aa35c5565e08b",
+        "2b017d9b67edd2ee1401238df49d75da53c523f36e363881e057f5dc3ed3c5b2"
+    ]
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        **kwargs
+    ) -> AsyncResult:
+        yield await cls.create_async(messages[-1]["content"], model, **kwargs)
+
+    @classmethod
+    async def create_async(
+        cls,
+        prompt: str,
+        model: str,
+        api_key: str = None,
+        proxy: str = None,
+        timeout: int = 180,
+        version: str = None,
+        extra_data: dict = {},
+        **kwargs
+    ) -> ImageResponse:
+        headers = {
+            'Accept-Encoding': 'gzip, deflate, br',
+            'Accept-Language': 'en-US',
+            'Connection': 'keep-alive',
+            'Origin': cls.url,
+            'Referer': f'{cls.url}/',
+            'Sec-Fetch-Dest': 'empty',
+            'Sec-Fetch-Mode': 'cors',
+            'Sec-Fetch-Site': 'same-site',
+            'User-Agent': 'Mozilla/5.0 (Macintosh; Intel Mac OS X 10_15_7) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/119.0.0.0 Safari/537.36',
+            'sec-ch-ua': '"Google Chrome";v="119", "Chromium";v="119", "Not?A_Brand";v="24"',
+            'sec-ch-ua-mobile': '?0',
+            'sec-ch-ua-platform': '"macOS"',
+        }
+        if version is None:
+            version = random.choice(cls.default_versions)
+        if api_key is not None:
+            headers["Authorization"] = f"Bearer {api_key}"
+        async with StreamSession(
+            proxies={"all": proxy},
+            headers=headers,
+            timeout=timeout
+        ) as session:
+            data = {
+                "input": {
+                    "prompt": prompt,
+                    **extra_data
+                },
+                "version": version
+            }
+            if api_key is None:
+                data["model"] = cls.get_model(model)
+                url = "https://homepage.replicate.com/api/prediction"
+            else:
+                url = "https://api.replicate.com/v1/predictions"
+            async with session.post(url, json=data) as response:
+                await raise_for_status(response)
+                result = await response.json()
+            if "id" not in result:
+                raise ResponseError(f"Invalid response: {result}")
+            while True:
+                if api_key is None:
+                    url = f"https://homepage.replicate.com/api/poll?id={result['id']}"
+                else:
+                    url = f"https://api.replicate.com/v1/predictions/{result['id']}"
+                async with session.get(url) as response:
+                    await raise_for_status(response)
+                    result = await response.json()
+                    if "status" not in result:
+                        raise ResponseError(f"Invalid response: {result}")
+                    if result["status"] == "succeeded":
+                        images = result['output']
+                        images = images[0] if len(images) == 1 else images
+                        return ImageResponse(images, prompt)
+                    await asyncio.sleep(0.5)

g4f/Provider/__init__.py

@@ -38,6 +38,7 @@ from .Llama2           import Llama2
 from .Local            import Local
 from .PerplexityLabs   import PerplexityLabs
 from .Pi               import Pi
+from .ReplicateImage   import ReplicateImage
 from .Vercel           import Vercel
 from .WhiteRabbitNeo   import WhiteRabbitNeo
 from .You              import You

g4f/Provider/bing/conversation.py

@@ -34,9 +34,9 @@ async def create_conversation(session: ClientSession, headers: dict, tone: str)
     Conversation: An instance representing the created conversation.
     """
     if tone == "Copilot":
-        url = "https://copilot.microsoft.com/turing/conversation/create?bundleVersion=1.1634.3-nodesign2"
+        url = "https://copilot.microsoft.com/turing/conversation/create?bundleVersion=1.1686.0"
     else:
-        url = "https://www.bing.com/turing/conversation/create?bundleVersion=1.1626.1"
+        url = "https://www.bing.com/turing/conversation/create?bundleVersion=1.1686.0"
     async with session.get(url, headers=headers) as response:
         if response.status == 404:
             raise RateLimitError("Response 404: Do less requests and reuse conversations")

g4f/Provider/bing/create_images.py

@@ -151,7 +151,7 @@ async def create_images(session: ClientSession, prompt: str, proxy: str = None,
             if response.status != 200:
                 raise RuntimeError(f"Polling images faild. Code: {response.status}")
             text = await response.text()
-            if not text:
+            if not text or "GenerativeImagesStatusPage" in text:
                 await asyncio.sleep(1)
             else:
                 break

g4f/Provider/unfinished/Replicate.py

@@ -0,0 +1,78 @@
+from __future__ import annotations
+
+import asyncio
+
+from ..base_provider import AsyncGeneratorProvider, ProviderModelMixin
+from ..helper import format_prompt, filter_none
+from ...typing import AsyncResult, Messages
+from ...requests import StreamSession, raise_for_status
+from ...image import ImageResponse
+from ...errors import ResponseError, MissingAuthError
+
+class Replicate(AsyncGeneratorProvider, ProviderModelMixin):
+    url = "https://replicate.com"
+    working = True
+    default_model = "mistralai/mixtral-8x7b-instruct-v0.1"
+    api_base = "https://api.replicate.com/v1/models/"
+
+    @classmethod
+    async def create_async_generator(
+        cls,
+        model: str,
+        messages: Messages,
+        api_key: str = None,
+        proxy: str = None,
+        timeout: int = 180,
+        system_prompt: str = None,
+        max_new_tokens: int = None,
+        temperature: float = None,
+        top_p: float = None,
+        top_k: float = None,
+        stop: list = None,
+        extra_data: dict = {},
+        headers: dict = {},
+        **kwargs
+    ) -> AsyncResult:
+        model = cls.get_model(model)
+        if api_key is None:
+            raise MissingAuthError("api_key is missing")
+        headers["Authorization"] = f"Bearer {api_key}"
+        async with StreamSession(
+            proxies={"all": proxy},
+            headers=headers,
+            timeout=timeout
+        ) as session:
+            data = {
+                "stream": True,
+                "input": {
+                    "prompt": format_prompt(messages),
+                    **filter_none(
+                        system_prompt=system_prompt,
+                        max_new_tokens=max_new_tokens,
+                        temperature=temperature,
+                        top_p=top_p,
+                        top_k=top_k,
+                        stop_sequences=",".join(stop) if stop else None
+                    ),
+                    **extra_data
+                },
+            }
+            url = f"{cls.api_base.rstrip('/')}/{model}/predictions"
+            async with session.post(url, json=data) as response:
+                await raise_for_status(response)
+                result = await response.json()
+            if "id" not in result:
+                raise ResponseError(f"Invalid response: {result}")
+            async with session.get(result["urls"]["stream"], headers={"Accept": "text/event-stream"}) as response:
+                await raise_for_status(response)
+                event = None
+                async for line in response.iter_lines():
+                    if line.startswith(b"event: "):
+                        event = line[7:]
+                    elif event == b"output":
+                        if line.startswith(b"data: "):
+                            yield line[6:].decode()
+                        elif not line.startswith(b"id: "):
+                            continue#yield "+"+line.decode()
+                    elif event == b"done":
+                        break

g4f/gui/client/index.html

@@ -58,6 +58,12 @@
                 </button>
             </div>
             <div class="bottom_buttons">
+                <!--
+                <button onclick="open_album();">
+                    <i class="fa-solid fa-toolbox"></i>
+                    <span>Images Album</span>
+                </button>
+                -->
                 <button onclick="open_settings();">
                     <i class="fa-solid fa-toolbox"></i>
                     <span>Open Settings</span>
@@ -77,6 +83,9 @@
                     <span id="version_text" class="convo-title"></span>
                 </div>
             </div>
+        </div>
+        <div class="images hidden">
+            
         </div>
         <div class="settings hidden">
             <div class="paper">
@@ -101,7 +110,7 @@
                 <label for="auto_continue" class="toogle" title="Continue large responses in OpenaiChat"></label>
             </div>
             <div class="field box">
-                <label for="message-input-height" class="label" title="">Input max. grow height</label>
+                <label for="message-input-height" class="label" title="">Input max. height</label>
                 <input type="number" id="message-input-height" value="200"/>
             </div>
             <div class="field box">
@@ -109,40 +118,40 @@
                 <input type="text" id="recognition-language" value="" placeholder="navigator.language"/>
             </div>
             <div class="field box">
-                <label for="OpenaiChat-api_key" class="label" title="">OpenaiChat: api_key</label>
+                <label for="Bing-api_key" class="label" title="">Bing:</label>
-                <textarea id="OpenaiChat-api_key" name="OpenaiChat[api_key]" placeholder="..."></textarea>
+                <textarea id="Bing-api_key" name="Bing[api_key]" class="BingCreateImages-api_key" placeholder="&quot;_U&quot; cookie"></textarea>
             </div>
             <div class="field box">
-                <label for="Bing-api_key" class="label" title="">Bing: "_U" cookie</label>
+                <label for="DeepInfra-api_key" class="label" title="">DeepInfra:</label>
-                <textarea id="Bing-api_key" name="Bing[api_key]" placeholder="..."></textarea>
+                <textarea id="DeepInfra-api_key" name="DeepInfra[api_key]" class="DeepInfraImage-api_key" placeholder="api_key"></textarea>
             </div>
             <div class="field box">
-                <label for="Gemini-api_key" class="label" title="">Gemini: Cookies</label>
+                <label for="Gemini-api_key" class="label" title="">Gemini:</label>
-                <textarea id="Gemini-api_key" name="Gemini[api_key]" placeholder="..."></textarea>
+                <textarea id="Gemini-api_key" name="Gemini[api_key]" placeholder="Cookies"></textarea>
             </div>
             <div class="field box">
-                <label for="Openai-api_key" class="label" title="">Openai: api_key</label>
+                <label for="GeminiPro-api_key" class="label" title="">GeminiPro:</label>
-                <textarea id="Openai-api_key" name="Openai[api_key]" placeholder="..."></textarea>
+                <textarea id="GeminiPro-api_key" name="GeminiPro[api_key]" placeholder="api_key"></textarea>
             </div>
             <div class="field box">
-                <label for="Groq-api_key" class="label" title="">Groq: api_key</label>
+                <label for="Groq-api_key" class="label" title="">Groq:</label>
-                <textarea id="Groq-api_key" name="Groq[api_key]" placeholder="..."></textarea>
+                <textarea id="Groq-api_key" name="Groq[api_key]" placeholder="api_key"></textarea>
             </div>
             <div class="field box">
-                <label for="GeminiPro-api_key" class="label" title="">GeminiPro: api_key</label>
+                <label for="HuggingFace-api_key" class="label" title="">HuggingFace:</label>
-                <textarea id="GeminiPro-api_key" name="GeminiPro[api_key]" placeholder="..."></textarea>
+                <textarea id="HuggingFace-api_key" name="HuggingFace[api_key]" placeholder="api_key"></textarea>
             </div>
             <div class="field box">
-                <label for="OpenRouter-api_key" class="label" title="">OpenRouter: api_key</label>
+                <label for="Openai-api_key" class="label" title="">Openai:</label>
-                <textarea id="OpenRouter-api_key" name="OpenRouter[api_key]" placeholder="..."></textarea>
+                <textarea id="Openai-api_key" name="Openai[api_key]" placeholder="api_key"></textarea>
             </div>
             <div class="field box">
-                <label for="HuggingFace-api_key" class="label" title="">HuggingFace: api_key</label>
+                <label for="OpenaiChat-api_key" class="label" title="">OpenaiChat:</label>
-                <textarea id="HuggingFace-api_key" name="HuggingFace[api_key]" placeholder="..."></textarea>
+                <textarea id="OpenaiChat-api_key" name="OpenaiChat[api_key]" placeholder="api_key"></textarea>
             </div>
             <div class="field box">
-                <label for="DeepInfra-api_key" class="label" title="">DeepInfra: api_key</label>
+                <label for="OpenRouter-api_key" class="label" title="">OpenRouter:</label>
-                <textarea id="DeepInfra-api_key" name="DeepInfra[api_key]" placeholder="..."></textarea>
+                <textarea id="OpenRouter-api_key" name="OpenRouter[api_key]" placeholder="api_key"></textarea>
             </div>
             </div>
             <div class="bottom_buttons">

g4f/gui/client/static/css/style.css

@@ -653,7 +653,7 @@ select {
     font-size: 15px;
     width: 100%;
     color: var(--colour-3);
-    min-height: 50px;
+    min-height: 49px;
     height: 59px;
     outline: none;
     padding: var(--inner-gap) var(--section-gap);
@@ -809,7 +809,7 @@ ul {
 }
 
 .mobile-sidebar {
-    display: none !important;
+    display: none;
     position: absolute;
     z-index: 100000;
     top: 0;
@@ -850,12 +850,8 @@ ul {
         gap: 15px;
     }
 
-    .field {
-        width: fit-content;
-    }
-
     .mobile-sidebar {
-        display: flex !important;
+        display: flex;
     }
 
     #systemPrompt {
@@ -1090,7 +1086,13 @@ a:-webkit-any-link {
 }
 
 .settings textarea {
-    height: 51px;
+    height: 19px;
+    min-height: 19px;
+    padding: 0;
+}
+
+.settings .field.box {
+    padding: var(--inner-gap) var(--inner-gap) var(--inner-gap) 0;
 }
 
 .settings, .images {
@@ -1112,7 +1114,6 @@ a:-webkit-any-link {
 .settings textarea {
     background-color: transparent;
     border: none;
-    padding: var(--inner-gap) 0;
 }
 
 .settings input {
@@ -1130,10 +1131,7 @@ a:-webkit-any-link {
 
 .settings .label {
     font-size: 15px;
-    padding: var(--inner-gap) 0;
+    margin-left: var(--inner-gap);
-    width: fit-content;
-    min-width: 190px;
-    margin-left: var(--section-gap);
     white-space:nowrap;
 }
 

g4f/gui/client/static/js/chat.v1.js

@@ -179,12 +179,14 @@ const register_message_buttons = async () => {
 }
 
 const delete_conversations = async () => {
+    const remove_keys = [];
     for (let i = 0; i < appStorage.length; i++){
         let key = appStorage.key(i);
         if (key.startsWith("conversation:")) {
-            appStorage.removeItem(key);
+            remove_keys.push(key);
         }
     }
+    remove_keys.forEach((key)=>appStorage.removeItem(key));
     hide_sidebar();
     await new_conversation();
 };
@@ -274,31 +276,21 @@ const prepare_messages = (messages, filter_last_message=true) => {
     }
 
     let new_messages = [];
-    if (messages) {
+    if (systemPrompt?.value) {
-        for (i in messages) {
+        new_messages.push({
-            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)
-            }
-        }
-    }
-
-    // Add system message
-    system_content = systemPrompt?.value;
-    if (system_content) {
-        new_messages.unshift({
             "role": "system",
-            "content": system_content
+            "content": systemPrompt.value
         });
     }
-
+    messages.forEach((new_message) => {
+        // Include only not regenerated messages
+        if (!new_message.regenerate) {
+            // Remove generated images from history
+            new_message.content = filter_message(new_message.content);
+            delete new_message.provider;
+            new_messages.push(new_message)
+        }
+    });
     return new_messages;
 }
 
@@ -413,8 +405,11 @@ const ask_gpt = async () => {
         if (file && !provider)
             provider = "Bing";
         let api_key = null;
-        if (provider)
+        if (provider) {
             api_key = document.getElementById(`${provider}-api_key`)?.value || null;
+            if (api_key == null)
+                api_key = document.querySelector(`.${provider}-api_key`)?.value || null;
+        }
         await api("conversation", {
             id: window.token,
             conversation_id: window.conversation_id,
@@ -949,6 +944,7 @@ function count_chars(text) {
 }
 
 function count_words_and_tokens(text, model) {
+    text = filter_message(text);
     return `(${count_words(text)} words, ${count_chars(text)} chars, ${count_tokens(model, text)} tokens)`;
 }
 
@@ -1277,10 +1273,11 @@ if (SpeechRecognition) {
         microLabel.classList.add("recognition");
         startValue = messageInput.value;
         lastDebounceTranscript = "";
-        timeoutHandle = window.setTimeout(may_stop, 8000);
+        timeoutHandle = window.setTimeout(may_stop, 10000);
     };
     recognition.onend = function() {
         microLabel.classList.remove("recognition");
+        messageInput.focus();
     };
     recognition.onresult = function(event) {
         if (!event.results) {
@@ -1301,13 +1298,12 @@ if (SpeechRecognition) {
             messageInput.value = `${startValue ? startValue+"\n" : ""}${transcript.trim()}`;
             if (isFinal) {
                 startValue = messageInput.value;
-                messageInput.focus();
             }
             messageInput.style.height = messageInput.scrollHeight  + "px";
             messageInput.scrollTop = messageInput.scrollHeight;
         }
 
-        timeoutHandle = window.setTimeout(may_stop, transcript ? 8000 : 5000);
+        timeoutHandle = window.setTimeout(may_stop, transcript ? 10000 : 8000);
     };
 
     microLabel.addEventListener("click", () => {