Fix: (issue #13825) Getting an error with DallEAPIWrapper (#13874)

- **Description:** As of OpenAI's Python package 1.0, the existing
DallEAPIWrapper does not work correctly, so the example in the LangChain
Documentation link below does not work either.

https://python.langchain.com/docs/integrations/tools/dalle_image_generator
Also, since OpenAI only supports DALL-E version 2 or version 3, I
modified the DallEAPIWrapper to support it.

  - **Issue:** #13825 

  - **Twitter handle:** ggeutzzang

libs/langchain/langchain/utilities/dalle_image_generator.py

@@ -25,8 +25,10 @@ class DallEAPIWrapper(BaseModel):
     """Size of image to generate"""
     separator: str = "\n"
     """Separator to use when multiple URLs are returned."""
-    model: Optional[str] = None
-    """Model to use for image generation."""
+    model: Optional[str] = "dall-e-2"
+    """Model to use for image generation"""
+    quality: Optional[str] = "standard"
+    """Quality of the image that will be generated"""
 
     class Config:
         """Configuration for this pydantic object."""
@@ -40,10 +42,13 @@ class DallEAPIWrapper(BaseModel):
             values, "openai_api_key", "OPENAI_API_KEY"
         )
         try:
-            import openai
+            from openai import OpenAI
 
-            openai.api_key = openai_api_key
-            values["client"] = openai.Image
+            client = OpenAI(
+                api_key=openai_api_key,  # this is also the default, it can be omitted
+            )
+
+            values["client"] = client
         except ImportError as e:
             raise ImportError(
                 "Could not import openai python package. "
@@ -53,8 +58,12 @@ class DallEAPIWrapper(BaseModel):
 
     def run(self, query: str) -> str:
         """Run query through OpenAI and parse result."""
-        response = self.client.create(
-            prompt=query, n=self.n, size=self.size, model=self.model
+        response = self.client.images.generate(
+            prompt=query,
+            n=self.n,
+            size=self.size,
+            model=self.model,
+            quality=self.quality,
         )
-        image_urls = self.separator.join([item["url"] for item in response["data"]])
+        image_urls = self.separator.join([item.url for item in response.data])
         return image_urls if image_urls else "No image was generated"