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Commit Graph

235 Commits (840157abaa3ef2295c2cd59223802d14bf1527c3)

Author SHA1 Message Date
H Lohaus 840157abaa
Update helper.py 10 months ago
H Lohaus 293337db98
Update helper.py 10 months ago
Heiner Lohaus 510f534c0a Fix Bard Provider 10 months ago
Heiner Lohaus 0c4e5e5127 Fix Phind and PerplexityAi - GPT-4 Providers 
Fix MyShell Provider
Refactor Provider __init__
Add ChatAnywhere Provider
Update models list
 10 months ago
H Lohaus 52545369c5
Update OpenaiChat.py 10 months ago
Heiner Lohaus 2f64bc99ef Fix Chatgpt4Online Provider 10 months ago
Heiner Lohaus 2fb932220d Add Berlin and Koala Provider 10 months ago
Heiner Lohaus 745ea57c63 Add auto_continue to OpenaiChat 
Update readme provider tables
 10 months ago
Heiner Lohaus c796ba2253 Add py_arkose_generator in OpenaiChat 10 months ago
hs_junxiang a3c4e63577 fix: no module named 'flask' (#1216) 10 months ago
H Lohaus 363daeaab2
Merge pull request #1207 from hlohaus/win 
Fix NotImplementedError on WIn
 10 months ago
Luneye 23127acab2
Update Bing.py - Removed unnecessary "await" statements that could potentially lead to errors 10 months ago
Heiner Lohaus dfefd22aa1 Add exec_js helper def 10 months ago
Heiner Lohaus 65b5227500 Fix NotImplementedError on WIn 10 months ago
H Lohaus 85ca16d77f
Merge pull request #1181 from hlohaus/arkose 
Use asyncio subprocess in OpenaiChat
 11 months ago
Luneye b993bc00fa
Update ChatBase.py - Added jailbreak (enabled by default), Removed list incorrect responses 11 months ago
Heiner Lohaus cc301a3dd8 Use asyncio subprocess in OpenaiChat 11 months ago
Heiner Lohaus dc04ca9306 Add arkose_token to OpenaiChat 11 months ago
Heiner Lohaus 79cf039a88 Update config supports_message_history 11 months ago
Heiner Lohaus 0d1ae405cc Add Llama2 Providers / Models 11 months ago
Tekky ffa36c49e4
Merge pull request #1153 from AndPim4912/ChatBase-incorrect-responses 
Extract keywords from incorrect responses
 11 months ago
Tekky a167970d76
Merge pull request #1149 from Luneye/patch-4 
[suggestion] Adding new parameter to check if a provider 'natively' supports mesage history
 11 months ago
razrab 5ad48d9181 Extract keywords from incorrect responses 
The text of error responses is dynamically created by LLM. Need determine by keywords for more precise identification.
 11 months ago
Luneye 4bb751d989
Indicated support of message history in GptForLove.py 11 months ago
Luneye 2f539d0601
Indicated support of message history in Bing.py 11 months ago
Luneye e93887aff8
Indicated support of message history in ChatBase.py 11 months ago
Luneye 7a2c8e4cd3
Indicated support of message history in FreeGpt.py 11 months ago
Luneye 0b43c13268
Indicated support of message history in GPTalk.py 11 months ago
Luneye c43f82e966
Indicated support of message history in Yqcloud.py 11 months ago
Luneye c839597c6d
Indicated support of message history in You.py 11 months ago
Luneye aee8d5e628
Indicated support of message history in FakeGpt.py 11 months ago
Luneye 7f6d85f861
Indicated support of message history in ChatForAi.py 11 months ago
Luneye dc798b520d
Indicated support of message history in ChatgptX.py 11 months ago
Tekky 6363353670
Merge pull request #1146 from AndPim4912/GetGpt-debian-compat 
Update GetGpt provider for Debian python3-pycryptodome compatibility
 11 months ago
Tekky 4c276c7ed6
Merge pull request #1145 from AndPim4912/chatbase-invalid-response 
Add support for detecting incorrect responses in ChatBase API requests.
 11 months ago
Heiner Lohaus 979904166f
Update MyShell.py 11 months ago
razrab 87f8007345 Update GetGpt provider for Debian python3-pycryptodome compatibility 
Try to import AES from Cryptodome.Cipher if Crypto.Cipher caused error.
 11 months ago
razrab fd2b52823b Add support for detecting incorrect responses in ChatBase API requests. 11 months ago
Luneye 63ae5bb2cd
[suggestion] Adding new parameter to check if provider supports message history 
What are your thoughts on introducing a parameter that allows us to promptly verify whether the provider supports message history? I also considered adding a parameter to indicate whether a provider can perform web searches.
 11 months ago
Shubh Gajjar f0f5cb05f9
Update FreeGpt.py 
Changed older domain url with the working new url
 11 months ago
Luneye 21e56a1af8
Bugfix Bing.py - Resolved Issues with system prompt, Bing personalities and enabled all supported user requests 
I used this repository (https://github.com/waylaidwanderer/node-chatgpt-api/) as a reference to fix all the bugs related to Bing "personality." I included all the required fields in the allowedMessageTypes and optionsSets (as well as sliceIds) to allow it to respond to any requests it actually supports.

Will also finish the code to fully implement the image generation functionality.
 11 months ago
ⲘrṨhส∂ow 3982f39424
'Refactored by Sourcery' (#1125) 
Co-authored-by: Sourcery AI <>
 11 months ago
Tekky 955fb4bbaa
Merge pull request #1124 from hlohaus/fake 
Improve helper
 11 months ago
Tekky 33fcf907b6
Merge pull request #1122 from Luneye/patch-2 
Major Update for Bing - Supports latest bundle version and image analysis
 11 months ago
Heiner Lohaus 598255fa26 Debug logging support 
Async browse access token
 11 months ago
Heiner Lohaus 3ae90b57ed Improve get_cookies helper 11 months ago
Heiner Lohaus fc15181110 Fix ChatgptAi Provider 11 months ago
Luneye c400d02024
Major Update for Bing - Supports latest bundle version and image analysis 
Here it is, a much-needed update to this service which offers numerous functionalities that the old code was unable to deliver to us.

As you may know, ChatGPT Plus subscribers now have the opportunity to request image analysis directly from GPT within the chat bar. Bing has also integrated this feature into its chatbot. With this new code, you can now provide an image using a data URI, with all the following supported extensions: jpg, jpeg, png, and gif!

**What is a data URI and how can I provide an image to Bing?**

Just to clarify, a data URI is a method for encoding data directly into a URI (Uniform Resource Identifier). It is typically used for embedding small data objects like images, text, or other resources within web pages or documents. Data URIs are widely used in web applications.

To provide an image from your desktop and retrieve it as a data URI, you can use this code: [GitHub link](https://gist.github.com/jsocol/1089733).

Now, here is a code snippet you can use to provide images to Bing:

```python
import g4f

provider = g4f.Provider.Bing
user_message = [{"role": "user", "content": "Hi, describe this image."}]

response = g4f.ChatCompletion.create(
    model = g4f.models.gpt_4,
    provider = g4f.provider,  # Corrected the provider value
    messages = user_message,
    stream = True,
    image = "data:image/jpeg;base64,/9j/4AAQSkZJRgABAQEASABIAAD/4RiSRXhpZgAASUkqAAg..."  # Insert your full data URI image here
)

for message in response:
    print(message, flush=True, end='')
```

If you don't want to analyze the image, just do not specify the image parameter.

Regarding the implementation, the image is preprocessed within the Bing.py code, which can be resource-intensive for a server-side implementation. When using the Bing chatbot in your web browser, the image is preprocessed on your computer before being sent to the server. This preprocessing includes tasks like image rotation and compression. Although this implementation works, it would be more efficient to delegate image preprocessing to the client as it happens in reality. I will try to provide a JavaScript code for that at a later time.

As you saw, I did mention in the title that it is in Beta. The way the code is written, Bing can sometimes mess up its answers. Indeed, Bing does not really stream its responses as the other providers do. Bing sends its answers like this on each iteration:

"Hi,"
"Hi, this,"
"Hi, this is,"
"Hi, this is Bing."

Instead of sending each segment one at a time, it already adds them on each iteration. So, to simulate a normal streaming response, other contributors made the code wait for the next iteration to retrieve the newer segments and yield them. However, this method ignores something that Bing does.

Bing processes its responses in a markdown detector, which searches for links while the AI answers. If it finds a link, it saves it and waits until the AI finishes its answer to put all the found links at the very end of the answer. So if the AI is writing a link, but then on the next iteration, it finishes writing this link, it will then be deleted from the answer and appear later at the very end. Example:

"Here is your link reference ["
"Here is your link reference [^"
"Here is your link reference [^1"
"Here is your link reference [^1^"

And then the response would get stuck there because the markdown detector would have deleted this link reference in the next response and waited until the AI is finished to put it at the very end.

For this reason, I am working on an update to anticipate the markdown detector.
So please, if you guys notice any bugs with this new implementation, I would greatly appreciate it if you could report them on the issue tab of this repo. Thanks in advance, and I hope that all these explanations were clear to you!
 11 months ago
Heiner Lohaus 78f93bb737 Add rate limit error messages 11 months ago
Heiner Lohaus 63cda8d779 Fix increase timeout 
Add Hashnode Provider
Fix Yqcloud Provider
 11 months ago