Fix a commit error

src/engines/LLMEngine/OpenaiLLMEngine.py

@@ -1,43 +1,65 @@
-import anthropic
+import openai
 import gradio as gr
+import orjson
+
+from abc import ABC, abstractmethod
 
 from .BaseLLMEngine import BaseLLMEngine
 
-# Assuming these are the models supported by Anthropics that you wish to include
-ANTHROPIC_POSSIBLE_MODELS = [
-    "claude-2.1",
-    # Add more models as needed
+OPENAI_POSSIBLE_MODELS = [  # Theese shall be the openai models supporting force_json
+    "gpt-3.5-turbo-0125",
+    "gpt-4-turbo-preview",
 ]
 
-class AnthropicsLLMEngine(BaseLLMEngine):
+
+class OpenaiLLMEngine(BaseLLMEngine):
     num_options = 1
-    name = "Anthropics"
-    description = "Anthropics language model engine."
+    name = "OpenAI"
+    description = "OpenAI language model engine."
 
     def __init__(self, options: list) -> None:
         self.model = options[0]
-        self.client = anthropic.Anthropic(api_key="YourAnthropicAPIKeyHere")  # Ensure API key is securely managed
         super().__init__()
 
-    def generate(self, system_prompt: str, chat_prompt: str, max_tokens: int = 1024, temperature: float = 1.0, json_mode: bool = False, top_p: float = 1, frequency_penalty: float = 0, presence_penalty: float = 0) -> str | dict:
-        # Note: Adjust the parameters as per Anthropics API capabilities
-        message = self.client.messages.create(
-            max_tokens=max_tokens,
+    def generate(
+        self,
+        system_prompt: str,
+        chat_prompt: str,
+        max_tokens: int = 512,
+        temperature: float = 1.0,
+        json_mode: bool = False,
+        top_p: float = 1,
+        frequency_penalty: float = 0,
+        presence_penalty: float = 0,
+    ) -> str | dict:
+        response = openai.chat.completions.create(
+            model=self.model,
             messages=[
                 {"role": "system", "content": system_prompt},
                 {"role": "user", "content": chat_prompt},
             ],
-            model=self.model,
+            max_tokens=max_tokens,
+            temperature=temperature,
+            top_p=top_p,
+            frequency_penalty=frequency_penalty,
+            presence_penalty=presence_penalty,
+            response_format={"type": "json_object"}
+            if json_mode
+            else openai._types.NOT_GIVEN,
+        )
+        return (
+            response.choices[0].message.content
+            if not json_mode
+            else orjson.loads(response.choices[0].message.content)
         )
-        return message.content
 
     @classmethod
     def get_options(cls) -> list:
         return [
             gr.Dropdown(
                 label="Model",
-                choices=ANTHROPIC_POSSIBLE_MODELS,
+                choices=OPENAI_POSSIBLE_MODELS,
                 max_choices=1,
-                value=ANTHROPIC_POSSIBLE_MODELS[0]
+                value=OPENAI_POSSIBLE_MODELS[0],
             )
         ]