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-rw-r--r--.gitignore2
-rw-r--r--README.md4
-rw-r--r--g4f/Provider/Vercel.py291
3 files changed, 294 insertions, 3 deletions
diff --git a/.gitignore b/.gitignore
index e3631357..a22ec01f 100644
--- a/.gitignore
+++ b/.gitignore
@@ -34,6 +34,6 @@ update.py
cookie.json
notes.txt
close_issues.py
-
+xxx.py
# Emacs crap
*~ \ No newline at end of file
diff --git a/README.md b/README.md
index e869b9f0..bf15f3a6 100644
--- a/README.md
+++ b/README.md
@@ -521,10 +521,10 @@ for message in response:
## ChatGPT clone
-> We are currently implementing new features and trying to scale it, but please be patient as it may be unstable
+> We are currently implementing new features and trying to scale it, but please be patient as it may be unstable.
> https://chat.g4f.ai/chat
> This site was developed by me and includes **gpt-4/3.5**, **internet access** and **gpt-jailbreak's** like DAN
-> Run locally here: https://github.com/xtekky/chatgpt-clone
+> Run locally here: https://github.com/xtekky/chatgpt-clone.
## Copyright:
diff --git a/g4f/Provider/Vercel.py b/g4f/Provider/Vercel.py
new file mode 100644
index 00000000..43f7d741
--- /dev/null
+++ b/g4f/Provider/Vercel.py
@@ -0,0 +1,291 @@
+from __future__ import annotations
+
+import base64, json, uuid, quickjs, random
+from curl_cffi.requests import AsyncSession
+
+from ..typing import Any, TypedDict
+from .base_provider import AsyncProvider
+
+
+class Vercel(AsyncProvider):
+ url = "https://sdk.vercel.ai"
+ working = False
+ supports_gpt_35_turbo = True
+ model = "replicate:replicate/llama-2-70b-chat"
+
+ @classmethod
+ async def create_async(
+ cls,
+ model: str,
+ messages: list[dict[str, str]],
+ proxy: str = None,
+ **kwargs
+ ) -> str:
+ return
+
+class ModelInfo(TypedDict):
+ id: str
+ default_params: dict[str, Any]
+
+model_info: dict[str, ModelInfo] = {
+ "anthropic:claude-instant-v1": {
+ "id": "anthropic:claude-instant-v1",
+ "default_params": {
+ "temperature": 1,
+ "maxTokens": 200,
+ "topP": 1,
+ "topK": 1,
+ "presencePenalty": 1,
+ "frequencyPenalty": 1,
+ "stopSequences": ["\n\nHuman:"],
+ },
+ },
+ "anthropic:claude-v1": {
+ "id": "anthropic:claude-v1",
+ "default_params": {
+ "temperature": 1,
+ "maxTokens": 200,
+ "topP": 1,
+ "topK": 1,
+ "presencePenalty": 1,
+ "frequencyPenalty": 1,
+ "stopSequences": ["\n\nHuman:"],
+ },
+ },
+ "anthropic:claude-v2": {
+ "id": "anthropic:claude-v2",
+ "default_params": {
+ "temperature": 1,
+ "maxTokens": 200,
+ "topP": 1,
+ "topK": 1,
+ "presencePenalty": 1,
+ "frequencyPenalty": 1,
+ "stopSequences": ["\n\nHuman:"],
+ },
+ },
+ "replicate:a16z-infra/llama7b-v2-chat": {
+ "id": "replicate:a16z-infra/llama7b-v2-chat",
+ "default_params": {
+ "temperature": 0.75,
+ "maxTokens": 500,
+ "topP": 1,
+ "repetitionPenalty": 1,
+ },
+ },
+ "replicate:a16z-infra/llama13b-v2-chat": {
+ "id": "replicate:a16z-infra/llama13b-v2-chat",
+ "default_params": {
+ "temperature": 0.75,
+ "maxTokens": 500,
+ "topP": 1,
+ "repetitionPenalty": 1,
+ },
+ },
+ "replicate:replicate/llama-2-70b-chat": {
+ "id": "replicate:replicate/llama-2-70b-chat",
+ "default_params": {
+ "temperature": 0.75,
+ "maxTokens": 1000,
+ "topP": 1,
+ "repetitionPenalty": 1,
+ },
+ },
+ "huggingface:bigscience/bloom": {
+ "id": "huggingface:bigscience/bloom",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 0.95,
+ "topK": 4,
+ "repetitionPenalty": 1.03,
+ },
+ },
+ "huggingface:google/flan-t5-xxl": {
+ "id": "huggingface:google/flan-t5-xxl",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 0.95,
+ "topK": 4,
+ "repetitionPenalty": 1.03,
+ },
+ },
+ "huggingface:EleutherAI/gpt-neox-20b": {
+ "id": "huggingface:EleutherAI/gpt-neox-20b",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 0.95,
+ "topK": 4,
+ "repetitionPenalty": 1.03,
+ "stopSequences": [],
+ },
+ },
+ "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5": {
+ "id": "huggingface:OpenAssistant/oasst-sft-4-pythia-12b-epoch-3.5",
+ "default_params": {"maxTokens": 200, "typicalP": 0.2, "repetitionPenalty": 1},
+ },
+ "huggingface:OpenAssistant/oasst-sft-1-pythia-12b": {
+ "id": "huggingface:OpenAssistant/oasst-sft-1-pythia-12b",
+ "default_params": {"maxTokens": 200, "typicalP": 0.2, "repetitionPenalty": 1},
+ },
+ "huggingface:bigcode/santacoder": {
+ "id": "huggingface:bigcode/santacoder",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 0.95,
+ "topK": 4,
+ "repetitionPenalty": 1.03,
+ },
+ },
+ "cohere:command-light-nightly": {
+ "id": "cohere:command-light-nightly",
+ "default_params": {
+ "temperature": 0.9,
+ "maxTokens": 200,
+ "topP": 1,
+ "topK": 0,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "cohere:command-nightly": {
+ "id": "cohere:command-nightly",
+ "default_params": {
+ "temperature": 0.9,
+ "maxTokens": 200,
+ "topP": 1,
+ "topK": 0,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:gpt-4": {
+ "id": "openai:gpt-4",
+ "default_params": {
+ "temperature": 0.7,
+ "maxTokens": 500,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:gpt-4-0613": {
+ "id": "openai:gpt-4-0613",
+ "default_params": {
+ "temperature": 0.7,
+ "maxTokens": 500,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:code-davinci-002": {
+ "id": "openai:code-davinci-002",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:gpt-3.5-turbo": {
+ "id": "openai:gpt-3.5-turbo",
+ "default_params": {
+ "temperature": 0.7,
+ "maxTokens": 500,
+ "topP": 1,
+ "topK": 1,
+ "presencePenalty": 1,
+ "frequencyPenalty": 1,
+ "stopSequences": [],
+ },
+ },
+ "openai:gpt-3.5-turbo-16k": {
+ "id": "openai:gpt-3.5-turbo-16k",
+ "default_params": {
+ "temperature": 0.7,
+ "maxTokens": 500,
+ "topP": 1,
+ "topK": 1,
+ "presencePenalty": 1,
+ "frequencyPenalty": 1,
+ "stopSequences": [],
+ },
+ },
+ "openai:gpt-3.5-turbo-16k-0613": {
+ "id": "openai:gpt-3.5-turbo-16k-0613",
+ "default_params": {
+ "temperature": 0.7,
+ "maxTokens": 500,
+ "topP": 1,
+ "topK": 1,
+ "presencePenalty": 1,
+ "frequencyPenalty": 1,
+ "stopSequences": [],
+ },
+ },
+ "openai:text-ada-001": {
+ "id": "openai:text-ada-001",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:text-babbage-001": {
+ "id": "openai:text-babbage-001",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:text-curie-001": {
+ "id": "openai:text-curie-001",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:text-davinci-002": {
+ "id": "openai:text-davinci-002",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+ "openai:text-davinci-003": {
+ "id": "openai:text-davinci-003",
+ "default_params": {
+ "temperature": 0.5,
+ "maxTokens": 200,
+ "topP": 1,
+ "presencePenalty": 0,
+ "frequencyPenalty": 0,
+ "stopSequences": [],
+ },
+ },
+}
generated by cgit v1.2.3 (git 2.25.1) at 2024-11-07 15:50:13 +0100