Fix process_image in Bing

Add ImageResponse to Bing
Fix cursor styling in gui

g4f/Provider/Bing.py

@@ -9,9 +9,10 @@ from urllib import parse
 from aiohttp import ClientSession, ClientTimeout
 
 from ..typing import AsyncResult, Messages, ImageType
+from ..image import ImageResponse
 from .base_provider import AsyncGeneratorProvider
 from .bing.upload_image import upload_image
-from .bing.create_images import create_images, format_images_markdown
+from .bing.create_images import create_images
 from .bing.conversation import Conversation, create_conversation, delete_conversation
 
 class Tones():
@@ -172,7 +173,7 @@ def create_message(
     prompt: str,
     tone: str,
     context: str = None,
-    image_info: dict = None,
+    image_response: ImageResponse = None,
     web_search: bool = False,
     gpt4_turbo: bool = False
 ) -> str:
@@ -228,9 +229,9 @@ def create_message(
         'target': 'chat',
         'type': 4
     }
-    if image_info and "imageUrl" in image_info and "originalImageUrl" in image_info:
-        struct['arguments'][0]['message']['originalImageUrl'] = image_info['originalImageUrl']
-        struct['arguments'][0]['message']['imageUrl'] = image_info['imageUrl']
+    if image_response.get('imageUrl') and image_response.get('originalImageUrl'):
+        struct['arguments'][0]['message']['originalImageUrl'] = image_response.get('originalImageUrl')
+        struct['arguments'][0]['message']['imageUrl'] = image_response.get('imageUrl')
         struct['arguments'][0]['experienceType'] = None
         struct['arguments'][0]['attachedFileInfo'] = {"fileName": None, "fileType": None}
     if context:
@@ -262,9 +263,9 @@ async def stream_generate(
         headers=headers
     ) as session:
         conversation = await create_conversation(session, proxy)
-        image_info = None
-        if image:
-            image_info = await upload_image(session, image, tone, proxy)
+        image_response = await upload_image(session, image, tone, proxy) if image else None
+        if image_response:
+            yield image_response
         try:
             async with session.ws_connect(
                 'wss://sydney.bing.com/sydney/ChatHub',
@@ -274,7 +275,7 @@ async def stream_generate(
             ) as wss:
                 await wss.send_str(format_message({'protocol': 'json', 'version': 1}))
                 await wss.receive(timeout=timeout)
-                await wss.send_str(create_message(conversation, prompt, tone, context, image_info, web_search, gpt4_turbo))
+                await wss.send_str(create_message(conversation, prompt, tone, context, image_response, web_search, gpt4_turbo))
 
                 response_txt = ''
                 returned_text = ''
@@ -290,6 +291,7 @@ async def stream_generate(
                         response = json.loads(obj)
                         if response.get('type') == 1 and response['arguments'][0].get('messages'):
                             message = response['arguments'][0]['messages'][0]
+                            image_response = None
                             if (message['contentOrigin'] != 'Apology'):
                                 if 'adaptiveCards' in message:
                                     card = message['adaptiveCards'][0]['body'][0]
@@ -301,7 +303,7 @@ async def stream_generate(
                                 elif message.get('contentType') == "IMAGE":
                                     prompt = message.get('text')
                                     try:
-                                        response_txt += format_images_markdown(await create_images(session, prompt, proxy), prompt)
+                                        image_response = ImageResponse(await create_images(session, prompt, proxy), prompt)
                                     except:
                                         response_txt += f"\nhttps://www.bing.com/images/create?q={parse.quote(prompt)}"
                                     final = True
@@ -310,6 +312,8 @@ async def stream_generate(
                                 if new != "\n":
                                     yield new
                                     returned_text = response_txt
+                            if image_response:
+                                yield image_response
                         elif response.get('type') == 2:
                             result = response['item']['result']
                             if result.get('error'):

g4f/Provider/bing/upload_image.py

@@ -6,7 +6,7 @@ import json
 import math
 from ...typing import ImageType
 from aiohttp import ClientSession
-from ...image import to_image, process_image, to_base64
+from ...image import to_image, process_image, to_base64, ImageResponse
 
 image_config = {
     "maxImagePixels": 360000,
@@ -19,7 +19,7 @@ async def upload_image(
     image: ImageType,
     tone: str,
     proxy: str = None
-) -> dict:
+) -> ImageResponse:
     image = to_image(image)
     width, height = image.size
     max_image_pixels = image_config['maxImagePixels']
@@ -55,7 +55,7 @@ async def upload_image(
             else "https://www.bing.com/images/blob?bcid="
             + result['bcid']
         )
-        return result    
+        return ImageResponse(result["imageUrl"], "", result)    
 
 def build_image_upload_api_payload(image_bin: str, tone: str):
     payload = {

g4f/Provider/needs_auth/OpenaiChat.py

@@ -13,7 +13,6 @@ from ...webdriver import get_browser, get_driver_cookies
 from ...typing import AsyncResult, Messages
 from ...requests import StreamSession
 from ...image import to_image, to_bytes, ImageType, ImageResponse
-from ... import debug
 
 models = {
     "gpt-3.5":       "text-davinci-002-render-sha",
@@ -242,9 +241,7 @@ class OpenaiChat(AsyncGeneratorProvider):
                     json=data,
                     headers={"Accept": "text/event-stream", **headers}
                 ) as response:
-                    try:
-                        response.raise_for_status()
-                    except:
+                    if not response.ok:
                         raise RuntimeError(f"Response {response.status_code}: {await response.text()}")
                     try:
                         last_message: int = 0

g4f/gui/client/css/style.css

@@ -566,6 +566,7 @@ select {
     animation: blink 0.8s infinite;
     width: 7px;
     height: 15px;
+    display: inline-block;
 }
 
 @keyframes blink {

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

@@ -104,7 +104,7 @@ const ask_gpt = async () => {
             </div>
             <div class="content" id="gpt_${window.token}">
                 <div class="provider"></div>
-                <div class="content_inner"><div id="cursor"></div></div>
+                <div class="content_inner"><span id="cursor"></span></div>
             </div>
         </div>
     `;
@@ -168,7 +168,7 @@ const ask_gpt = async () => {
             }
             if (error) {
                 console.error(error);
-                content_inner.innerHTML = "An error occured, please try again, if the problem persists, please use a other model or provider";
+                content_inner.innerHTML += "<p>An error occured, please try again, if the problem persists, please use a other model or provider.</p>";
             } else {
                 html = markdown_render(text);
                 html = html.substring(0, html.lastIndexOf('</p>')) + '<span id="cursor"></span></p>';

g4f/image.py

@@ -64,7 +64,6 @@ def get_orientation(image: Image.Image) -> int:
 
 def process_image(img: Image.Image, new_width: int, new_height: int) -> Image.Image:
     orientation = get_orientation(img)
-    new_img = Image.new("RGB", (new_width, new_height), color="#FFFFFF")
     if orientation:
         if orientation > 4:
             img = img.transpose(Image.FLIP_LEFT_RIGHT)
@@ -74,8 +73,8 @@ def process_image(img: Image.Image, new_width: int, new_height: int) -> Image.Im
             img = img.transpose(Image.ROTATE_270)
         if orientation in [7, 8]:
             img = img.transpose(Image.ROTATE_90)
-    new_img.paste(img, (0, 0))
-    return new_img
+    img.thumbnail((new_width, new_height))
+    return img
     
 def to_base64(image: Image.Image, compression_rate: float) -> str:
     output_buffer = BytesIO()