This commit is contained in:
ManishMadan2882
2024-11-17 03:31:19 +05:30
3 changed files with 61 additions and 2 deletions

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@@ -0,0 +1,48 @@
from application.llm.base import BaseLLM
class GoogleLLM(BaseLLM):
def __init__(self, api_key=None, user_api_key=None, *args, **kwargs):
super().__init__(*args, **kwargs)
self.api_key = api_key
self.user_api_key = user_api_key
def _clean_messages_google(self, messages):
return [
{
"role": "model" if message["role"] == "system" else message["role"],
"parts": [message["content"]],
}
for message in messages[1:]
]
def _raw_gen(
self,
baseself,
model,
messages,
stream=False,
**kwargs
):
import google.generativeai as genai
genai.configure(api_key=self.api_key)
model = genai.GenerativeModel(model, system_instruction=messages[0]["content"])
response = model.generate_content(self._clean_messages_google(messages))
return response.text
def _raw_gen_stream(
self,
baseself,
model,
messages,
stream=True,
**kwargs
):
import google.generativeai as genai
genai.configure(api_key=self.api_key)
model = genai.GenerativeModel(model, system_instruction=messages[0]["content"])
response = model.generate_content(self._clean_messages_google(messages), stream=True)
for line in response:
if line.text is not None:
yield line.text

View File

@@ -6,6 +6,7 @@ from application.llm.llama_cpp import LlamaCpp
from application.llm.anthropic import AnthropicLLM
from application.llm.docsgpt_provider import DocsGPTAPILLM
from application.llm.premai import PremAILLM
from application.llm.google_ai import GoogleLLM
class LLMCreator:
@@ -18,7 +19,8 @@ class LLMCreator:
"anthropic": AnthropicLLM,
"docsgpt": DocsGPTAPILLM,
"premai": PremAILLM,
"groq": GroqLLM
"groq": GroqLLM,
"google": GoogleLLM
}
@classmethod

View File

@@ -1,10 +1,19 @@
from application.parser.remote.base import BaseRemote
from langchain_community.document_loaders import RedditPostsLoader
import json
class RedditPostsLoaderRemote(BaseRemote):
def load_data(self, inputs):
data = eval(inputs)
try:
data = json.loads(inputs)
except json.JSONDecodeError as e:
raise ValueError(f"Invalid JSON input: {e}")
required_fields = ["client_id", "client_secret", "user_agent", "search_queries"]
missing_fields = [field for field in required_fields if field not in data]
if missing_fields:
raise ValueError(f"Missing required fields: {', '.join(missing_fields)}")
client_id = data.get("client_id")
client_secret = data.get("client_secret")
user_agent = data.get("user_agent")