docs: refactor models docstrings

scrapegraphai/models/azure_openai.py

@@ -1,19 +1,17 @@
 """ 
-Azure Openai configuration wrapper
+AzureOpenAI Module
 """
 from langchain_openai import AzureChatOpenAI
 
 
 class AzureOpenAI(AzureChatOpenAI):
-    """Class for wrapping openai module"""
+    """
+    A wrapper for the AzureChatOpenAI class that provides default configuration
+    and could be extended with additional methods if needed.
+    
+    Args:
+        llm_config (dict): Configuration parameters for the language model.
+    """
 
     def __init__(self, llm_config: dict):
-        """
-        A wrapper for the ChatOpenAI class that provides default configuration
-        and could be extended with additional methods if needed.
-
-        Args:
-            llm_config (dict): Configuration parameters for the language model.
-        """
-        # Initialize the superclass (AzureChatOpenAI) with provided config parameters
         super().__init__(**llm_config)

scrapegraphai/models/gemini.py

@@ -1,20 +1,17 @@
 """
-Gemini module configuration
+Gemini Module
 """
 from langchain_google_genai import ChatGoogleGenerativeAI
 
 
 class Gemini(ChatGoogleGenerativeAI):
-    """Class for wrapping gemini module"""
+    """
+    A wrapper for the Gemini class that provides default configuration
+    and could be extended with additional methods if needed.
+
+    Args:
+        llm_config (dict): Configuration parameters for the language model (e.g., model="gemini-pro")
+    """
 
     def __init__(self, llm_config: dict):
-        """
-        A wrapper for the Gemini class that provides default configuration
-        and could be extended with additional methods if needed.
-
-        Args:
-            llm_config (dict): Configuration parameters for the language model.
-            such as model="gemini-pro" and api_key 
-        """
-        # Initialize the superclass (ChatOpenAI) with provided config parameters
         super().__init__(**llm_config)

scrapegraphai/models/groq.py

@@ -1,21 +1,18 @@
 """
-Groq module configuration
+Groq Module
 """
 
 from langchain_groq import ChatGroq
 
 
 class Groq(ChatGroq):
-    """Class for wrapping Groq module"""
+    """
+    A wrapper for the Groq class that provides default configuration
+    and could be extended with additional methods if needed.
+
+    Args:
+        llm_config (dict): Configuration parameters for the language model (e.g., model="llama3-70b-8192")
+    """
 
     def __init__(self, llm_config: dict):
-        """
-        A wrapper for the Groq class that provides default configuration
-        and could be extended with additional methods if needed.
-
-        Args:
-            llm_config (dict): Configuration parameters for the language model.
-            such as model="llama3-70b-8192" and api_key
-        """
-        # Initialize the superclass (ChatOpenAI) with provided config parameters
         super().__init__(**llm_config)

scrapegraphai/models/hugging_face.py

@@ -1,22 +1,17 @@
 """
-Module for implementing the hugginface class
+HuggingFace Module
 """
 from langchain_community.chat_models.huggingface import ChatHuggingFace
 
 
 class HuggingFace(ChatHuggingFace):
-    """Provides a convenient wrapper for interacting with Hugging Face language models
+    """
-    designed for conversational AI applications.
+    A wrapper for the HuggingFace class that provides default configuration
+    and could be extended with additional methods if needed.
 
     Args:
-        llm_config (dict): A configuration dictionary containing:
+        llm_config (dict): Configuration parameters for the language model.
-            * api_key (str, optional): Your Hugging Face API key.
-            * model_name (str): The name of the Hugging Face LLM to load.
-            * tokenizer_name (str, optional):  Name of the corresponding tokenizer.
-            * device (str, optional): Device for running the model ('cpu' by default).
-
     """
 
     def __init__(self, llm_config: dict):
-        """Initializes the HuggingFace chat model wrapper"""
         super().__init__(**llm_config)

scrapegraphai/models/ollama.py

@@ -1,19 +1,17 @@
 """ 
-openai configuration wrapper
+Ollama Module
 """
 from langchain_community.chat_models import ChatOllama
 
 
 class Ollama(ChatOllama):
-    """Class for wrapping ollama module"""
+    """
+    A wrapper for the ChatOllama class that provides default configuration
+    and could be extended with additional methods if needed.
+
+    Args:
+        llm_config (dict): Configuration parameters for the language model.
+    """
 
     def __init__(self, llm_config: dict):
-        """
-        A wrapper for the ChatOllama class that provides default configuration
-        and could be extended with additional methods if needed.
-
-        Args:
-            llm_config (dict): Configuration parameters for the language model.
-        """
-        # Initialize the superclass (ChatOllama) with provided config parameters
         super().__init__(**llm_config)

scrapegraphai/models/openai.py

@@ -1,19 +1,17 @@
 """ 
-openai configuration wrapper
+OpenAI Module
 """
 from langchain_openai import ChatOpenAI
 
 
 class OpenAI(ChatOpenAI):
-    """Class for wrapping openai module"""
+    """
+    A wrapper for the ChatOpenAI class that provides default configuration
+    and could be extended with additional methods if needed.
+
+    Args:
+        llm_config (dict): Configuration parameters for the language model.
+    """
 
     def __init__(self, llm_config: dict):
-        """
-        A wrapper for the ChatOpenAI class that provides default configuration
-        and could be extended with additional methods if needed.
-
-        Args:
-            llm_config (dict): Configuration parameters for the language model.
-        """
-        # Initialize the superclass (ChatOpenAI) with provided config parameters
         super().__init__(**llm_config)

scrapegraphai/models/openai_itt.py

@@ -1,6 +1,5 @@
 """
-This module contains the OpenAIImageToText class, 
+OpenAIImageToText Module
-which is a subclass of ChatOpenAI that is specialized for converting images to text.
 """
 
 from langchain_openai import ChatOpenAI
@@ -9,39 +8,27 @@ from langchain_core.messages import HumanMessage
 
 class OpenAIImageToText(ChatOpenAI):
     """
-    A class that uses OpenAI's Chat API to convert an image to text.
+    A wrapper for the OpenAIImageToText class that provides default configuration
+    and could be extended with additional methods if needed.
 
     Args:
-        llm_config (dict): The configuration for the language model.
+        llm_config (dict): Configuration parameters for the language model.
-
+        max_tokens (int): The maximum number of tokens to generate.
-    Attributes:
-        max_tokens (int): The maximum number of tokens to generate in the response.
-
-    Methods:
-        run(image_url): Runs the image-to-text conversion using the provided image URL.
 
     """
 
     def __init__(self, llm_config: dict):
-        """
-        Initializes an instance of the OpenAIImageToText class.
-
-        Args:
-            llm_config (dict): The configuration for the language model.
-
-        """
         super().__init__(**llm_config, max_tokens=256)
 
-    def run(self, image_url: str):
+    def run(self, image_url: str) -> str:
         """
         Runs the image-to-text conversion using the provided image URL.
 
         Args:
-            image_url (str): The URL of the image to convert to text.
+            image_url (str): The URL of the image to convert.
 
         Returns:
-            str: The generated text description of the image.
+            str: The text description of the image.
-
         """
         message = HumanMessage(
             content=[

scrapegraphai/models/openai_tts.py

@@ -1,6 +1,5 @@
 """
-This module contains the OpenAITextToSpeech class, which uses OpenAI's API
+OpenAITextToSpeech Module
-to convert text into speech.
 """
 
 from openai import OpenAI
@@ -8,44 +7,33 @@ from openai import OpenAI
 
 class OpenAITextToSpeech:
     """
-    A class that uses OpenAI's API to convert text to speech.
+    Implements a text-to-speech model using the OpenAI API.
-
-    Args:
-        llm_config (dict): The configuration for the language model.
 
     Attributes:
+        client (OpenAI): The OpenAI client used to interact with the API.
         model (str): The model to use for text-to-speech conversion.
         voice (str): The voice model to use for generating speech.
 
-    Methods:
+    Args:
-        run(text): Converts the provided text to speech and returns the
+        tts_config (dict): Configuration parameters for the text-to-speech model.
-        bytes of the generated speech.
     """
 
     def __init__(self, tts_config: dict):
-        """
-        Initializes an instance of the OpenAITextToSpeech class.
-
-        Args:
-            llm_config (dict): The configuration for the language model.
-            model (str, optional): The model to use for text-to-speech conversion. 
-            Defaults to "tts-1".
-            voice (str, optional): The voice model to use for generating speech. 
-            Defaults to "alloy".
-        """
 
         # convert model_name to model
         self.client = OpenAI(api_key=tts_config.get("api_key"))
         self.model = tts_config.get("model", "tts-1")
         self.voice = tts_config.get("voice", "alloy")
 
-    def run(self, text):
+    def run(self, text: str) -> bytes:
         """
         Converts the provided text to speech and returns the bytes of the generated speech.
 
         Args:
             text (str): The text to convert to speech.
 
+        Returns:
+            bytes: The bytes of the generated speech audio.
         """
         response = self.client.audio.speech.create(
             model=self.model,