From 07c944ad0a90e10e9401d34a626bbc7878ffab2a Mon Sep 17 00:00:00 2001 From: Heiner Lohaus Date: Tue, 23 Jan 2024 01:47:55 +0100 Subject: Add upload svg image support Fix upload image in Bing Provider --- g4f/Provider/bing/upload_image.py | 36 +++++++++++++++++++++--------------- g4f/gui/client/html/index.html | 4 ++-- g4f/gui/client/js/chat.v1.js | 8 +++++++- g4f/gui/server/backend.py | 2 +- g4f/image.py | 16 ++++++++++++++-- g4f/models.py | 11 ++++++----- 6 files changed, 51 insertions(+), 26 deletions(-) diff --git a/g4f/Provider/bing/upload_image.py b/g4f/Provider/bing/upload_image.py index 4d70659f..bb5687a8 100644 --- a/g4f/Provider/bing/upload_image.py +++ b/g4f/Provider/bing/upload_image.py @@ -82,13 +82,16 @@ def build_image_upload_payload(image_bin: str, tone: str) -> Tuple[str, str]: Tuple[str, str]: The data and boundary for the payload. """ boundary = "----WebKitFormBoundary" + ''.join(random.choices(string.ascii_letters + string.digits, k=16)) - data = f"--{boundary}\r\n" \ - f"Content-Disposition: form-data; name=\"knowledgeRequest\"\r\n\r\n" \ - f"{json.dumps(build_knowledge_request(tone), ensure_ascii=False)}\r\n" \ - f"--{boundary}\r\n" \ - f"Content-Disposition: form-data; name=\"imageBase64\"\r\n\r\n" \ - f"{image_bin}\r\n" \ - f"--{boundary}--\r\n" + data = f"""--{boundary} +Content-Disposition: form-data; name="knowledgeRequest" + +{json.dumps(build_knowledge_request(tone), ensure_ascii=False)} +--{boundary} +Content-Disposition: form-data; name="imageBase64" + +{image_bin} +--{boundary}-- +""" return data, boundary def build_knowledge_request(tone: str) -> dict: @@ -102,14 +105,17 @@ def build_knowledge_request(tone: str) -> dict: dict: The knowledge request payload. """ return { - 'invokedSkills': ["ImageById"], - 'subscriptionId': "Bing.Chat.Multimodal", - 'invokedSkillsRequestData': { - 'enableFaceBlur': True - }, - 'convoData': { - 'convoid': "", - 'convotone': tone + "imageInfo": {}, + "knowledgeRequest": { + 'invokedSkills': ["ImageById"], + 'subscriptionId': "Bing.Chat.Multimodal", + 'invokedSkillsRequestData': { + 'enableFaceBlur': True + }, + 'convoData': { + 'convoid': "", + 'convotone': tone + } } } diff --git a/g4f/gui/client/html/index.html b/g4f/gui/client/html/index.html index 95489ba4..5edb55e8 100644 --- a/g4f/gui/client/html/index.html +++ b/g4f/gui/client/html/index.html @@ -115,11 +115,11 @@
diff --git a/g4f/gui/client/js/chat.v1.js b/g4f/gui/client/js/chat.v1.js index 8b9bc181..d62c040b 100644 --- a/g4f/gui/client/js/chat.v1.js +++ b/g4f/gui/client/js/chat.v1.js @@ -660,7 +660,13 @@ observer.observe(message_input, { attributes: true }); } document.getElementById("version_text").innerHTML = text })() - +imageInput.addEventListener('click', async (event) => { + imageInput.value = ''; +}); +fileInput.addEventListener('click', async (event) => { + fileInput.value = ''; + delete fileInput.dataset.text; +}); fileInput.addEventListener('change', async (event) => { if (fileInput.files.length) { type = fileInput.files[0].type; diff --git a/g4f/gui/server/backend.py b/g4f/gui/server/backend.py index d5c59ed1..9346f489 100644 --- a/g4f/gui/server/backend.py +++ b/g4f/gui/server/backend.py @@ -137,7 +137,7 @@ class Backend_Api: if 'image' in request.files: file = request.files['image'] if file.filename != '' and is_allowed_extension(file.filename): - kwargs['image'] = to_image(file.stream) + kwargs['image'] = to_image(file.stream, file.filename.endswith('.svg')) if 'json' in request.form: json_data = json.loads(request.form['json']) else: diff --git a/g4f/image.py b/g4f/image.py index 24ded915..61081ea1 100644 --- a/g4f/image.py +++ b/g4f/image.py @@ -4,9 +4,9 @@ import base64 from .typing import ImageType, Union from PIL import Image -ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif', 'webp'} +ALLOWED_EXTENSIONS = {'png', 'jpg', 'jpeg', 'gif', 'webp', 'svg'} -def to_image(image: ImageType) -> Image.Image: +def to_image(image: ImageType, is_svg: bool = False) -> Image.Image: """ Converts the input image to a PIL Image object. @@ -16,6 +16,16 @@ def to_image(image: ImageType) -> Image.Image: Returns: Image.Image: The converted PIL Image object. """ + if is_svg: + try: + import cairosvg + except ImportError: + raise RuntimeError('Install "cairosvg" package for open svg images') + if not isinstance(image, bytes): + image = image.read() + buffer = BytesIO() + cairosvg.svg2png(image, write_to=buffer) + image = Image.open(buffer) if isinstance(image, str): is_data_uri_an_image(image) image = extract_data_uri(image) @@ -153,6 +163,8 @@ def to_base64(image: Image.Image, compression_rate: float) -> str: str: The base64-encoded image. """ output_buffer = BytesIO() + if image.mode != "RGB": + image = image.convert('RGB') image.save(output_buffer, format="JPEG", quality=int(compression_rate * 100)) return base64.b64encode(output_buffer.getvalue()).decode() diff --git a/g4f/models.py b/g4f/models.py index 40a72d77..636058d3 100644 --- a/g4f/models.py +++ b/g4f/models.py @@ -5,6 +5,7 @@ from .Provider import ( Chatgpt4Online, ChatgptDemoAi, GeminiProChat, + PerplexityAi, ChatgptNext, HuggingChat, ChatgptDemo, @@ -78,7 +79,7 @@ gpt_35_long = Model( gpt_35_turbo = Model( name = 'gpt-3.5-turbo', base_provider = 'openai', - best_provider=RetryProvider([ + best_provider = RetryProvider([ GptGo, You, GptForLove, ChatBase, Chatgpt4Online, @@ -114,20 +115,20 @@ llama2_13b = Model( llama2_70b = Model( name = "meta-llama/Llama-2-70b-chat-hf", base_provider = "huggingface", - best_provider = RetryProvider([Llama2, DeepInfra, HuggingChat]) + best_provider = RetryProvider([Llama2, DeepInfra, HuggingChat, PerplexityAi]) ) # Mistal mixtral_8x7b = Model( name = "mistralai/Mixtral-8x7B-Instruct-v0.1", base_provider = "huggingface", - best_provider = RetryProvider([DeepInfra, HuggingChat]) + best_provider = RetryProvider([DeepInfra, HuggingChat, PerplexityAi]) ) mistral_7b = Model( name = "mistralai/Mistral-7B-Instruct-v0.1", base_provider = "huggingface", - best_provider = RetryProvider([DeepInfra, HuggingChat]) + best_provider = RetryProvider([DeepInfra, HuggingChat, PerplexityAi]) ) # Dolphin @@ -311,7 +312,7 @@ llama70b_v2_chat = Model( pi = Model( name = 'pi', base_provider = 'inflection', - best_provider=Pi + best_provider = Pi ) class ModelUtils: -- cgit v1.2.3