Merge pull request #183 from VinciGit00/182-googlegenerativeaiembeddings-is-not-defined

fixed gemini embeddings

Author: PeriniM

poetry.lock

@@ -4,16 +4,16 @@
 from abc import ABC, abstractmethod
 from typing import Optional
 from langchain_openai import AzureOpenAIEmbeddings, OpenAIEmbeddings
-from langchain_community.embeddings import HuggingFaceHubEmbeddings, OllamaEmbeddings
+from langchain_community.embeddings import HuggingFaceHubEmbeddings, OllamaEmbeddings, BedrockEmbeddings
+from langchain_google_genai import GoogleGenerativeAIEmbeddings
 from ..helpers import models_tokens
-from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic
+from ..models import AzureOpenAI, Bedrock, Gemini, Groq, HuggingFace, Ollama, OpenAI, Anthropic, Claude
 
 
 class AbstractGraph(ABC):
     """
     Scaffolding class for creating a graph representation and executing it.
 
-    Attributes:
         prompt (str): The prompt for the graph.
         source (str): The source of the graph.
         config (dict): Configuration parameters for the graph.
@@ -162,7 +162,7 @@ def _create_llm(self, llm_config: dict, chat=False) -> object:
                     try:
                         self.model_token = models_tokens["ollama"][llm_params["model"]]
                     except KeyError as exc:
-                        raise KeyError("Model not supported") from exc
+                        self.model_token = 8192
                 else:
                     self.model_token = 8192
             except AttributeError:

scrapegraphai/graphs/abstract_graph.py

@@ -110,4 +110,4 @@ def run(self) -> str:
         inputs = {"user_prompt": self.prompt, self.input_key: self.source}
         self.final_state, self.execution_info = self.graph.execute(inputs)
 
-        return self.final_state.get("answer", "No answer found.")
+        return self.final_state.get("answer", "No answer found ")

scrapegraphai/graphs/script_creator_graph.py

@@ -39,7 +39,8 @@
         "dolphin-mixtral": 32000,
         "mistral-openorca": 32000,
         "stablelm-zephyr": 8192,
-        "nomic-embed-text": 8192
+        "nomic-embed-text": 8192,
+        "mxbai-embed-large'": 8192
     },
     "groq": {
         "llama3-8b-8192": 8192,

scrapegraphai/helpers/models_tokens.py

@@ -12,3 +12,4 @@
 from .groq import Groq
 from .bedrock import Bedrock
 from .anthropic import Anthropic
+from .claude import Claude

scrapegraphai/models/__init__.py

@@ -0,0 +1,19 @@
+"""
+Claude model
+"""
+from langchain_anthropic import ChatAnthropic
+
+
+class Claude(ChatAnthropic):
+    """Class for wrapping bedrock module"""
+
+    def __init__(self, llm_config: dict):
+        """
+        A wrapper for the Claude 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 (ChatAnthropic) with provided config parameters
+        super().__init__(**llm_config)