openai migration

dall3.py

@@ -0,0 +1,8 @@
+from swarms.models import Dalle3
+
+dalle3 = Dalle3(
+    openai_api_key=""
+)
+task = "A painting of a dog"
+image_url = dalle3(task)
+print(image_url)

gpt4_v.py

@@ -1,10 +1,7 @@
 from swarms.models.gpt4v import GPT4Vision
 
-api_key = ""
 
-gpt4vision = GPT4Vision(
+gpt4vision = GPT4Vision(openai_api_key="")
-    openai_api_key=api_key,
-)
 
 img = "https://upload.wikimedia.org/wikipedia/commons/thumb/0/0d/VFPt_Solenoid_correct2.svg/640px-VFPt_Solenoid_correct2.svg.png"
 

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "poetry.core.masonry.api"
 
 [tool.poetry]
 name = "swarms"
-version = "2.2.9"
+version = "2.3.0"
 description = "Swarms - Pytorch"
 license = "MIT"
 authors = ["Kye Gomez <kye@apac.ai>"]

swarms/models/anthropic.py

@@ -24,7 +24,7 @@ from langchain.callbacks.manager import (
     CallbackManagerForLLMRun,
 )
 from langchain.llms.base import LLM
-from langchain.pydantic_v1 import Field, SecretStr, root_validator
+from pydantic import Field, SecretStr, root_validator
 from langchain.schema.language_model import BaseLanguageModel
 from langchain.schema.output import GenerationChunk
 from langchain.schema.prompt import PromptValue

swarms/models/dalle3.py

@@ -1,3 +1,4 @@
+
 import concurrent.futures
 import logging
 import os
@@ -5,7 +6,6 @@ import uuid
 from dataclasses import dataclass
 from io import BytesIO
 from typing import List
-
 import backoff
 import openai
 import requests
@@ -66,7 +66,7 @@ class Dalle3:
     size: str = "1024x1024"
     max_retries: int = 3
     quality: str = "standard"
-    openai_api_key: str = None
+    openai_api_key: str = None or os.getenv("OPENAI_API_KEY")
     n: int = 1
     save_path: str = "images"
     max_time_seconds: int = 60

swarms/models/gpt4v.py

@@ -1,3 +1,4 @@
+import os
 import asyncio
 import base64
 import concurrent.futures
@@ -64,7 +65,7 @@ class GPT4Vision:
     model: str = "gpt-4-vision-preview"
     backoff_factor: float = 2.0
     timeout_seconds: int = 10
-    openai_api_key: Optional[str] = None
+    openai_api_key: Optional[str] = None or os.getenv("OPENAI_API_KEY")
     # 'Low' or 'High' for respesctively fast or high quality, but high more token usage
     quality: str = "low"
     # Max tokens to use for the API request, the maximum might be 3,000 but we don't know

swarms/models/kosmos2.py

@@ -1,7 +1,7 @@
 from typing import List, Tuple
 
 from PIL import Image
-from pydantic import BaseModel, root_validator, validator
+from pydantic import BaseModel, model_validator, validator
 from transformers import AutoModelForVision2Seq, AutoProcessor
 
 
@@ -11,7 +11,7 @@ class Detections(BaseModel):
     class_id: List[int]
     confidence: List[float]
 
-    @root_validator
+    @model_validator
     def check_length(cls, values):
         assert (
             len(values.get("xyxy"))

swarms/models/openai_chat.py

@@ -104,7 +104,7 @@ def _create_retry_decorator(
         openai.Timeout,
         openai.APIError,
         openai.APIConnectionError,
-        openai.error.RateLimitError,
+        openai.RateLimitError,
         openai.error.ServiceUnavailableError,
     ]
     return create_base_retry_decorator(