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fix

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This commit is contained in:
Saifeddine ALOUI 2024-12-22 00:29:30 +01:00
parent 96e958019d
commit d441efff01
1 changed files with 32 additions and 1 deletions
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33
lollms/server/endpoints/lollms_generator.py
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@ -27,7 +27,7 @@ import json
from enum import Enum
import base64
from datetime import datetime
import pipmaster as pm
def _generate_id(length=10):
letters_and_digits = string.ascii_letters + string.digits
@ -220,6 +220,10 @@ async def lollms_generate(request: LollmsGenerateRequest):
)
completion_tokens = len(elf_server.binding.tokenize(reception_manager.reception_buffer))
ASCIIColors.yellow(f"Generated: {completion_tokens} tokens")
if elf_server.config.debug:
ASCIIColors.yellow("Output")
ASCIIColors.yellow(reception_manager.reception_buffer)
return PlainTextResponse(reception_manager.reception_buffer)
else:
return None
@ -228,7 +232,34 @@ async def lollms_generate(request: LollmsGenerateRequest):
elf_server.error(ex)
return {"status":False,"error":str(ex)}
class LollmsEmbed(BaseModel):
text:str
@router.post("/lollms_embed")
async def lollms_embed(request: LollmsEmbed):
if not pm.is_installed ("lollmsvectordb"):
pm.install("lollmsvectordb")
from lollmsvectordb import VectorDatabase
from lollmsvectordb.text_document_loader import TextDocumentsLoader
from lollmsvectordb.lollms_tokenizers.tiktoken_tokenizer import TikTokenTokenizer
if elf_server.config.rag_vectorizer=="semantic":
from lollmsvectordb.lollms_vectorizers.semantic_vectorizer import SemanticVectorizer
vectorizer = SemanticVectorizer(elf_server.config.rag_vectorizer_model)
elif elf_server.config.rag_vectorizer=="tfidf":
from lollmsvectordb.lollms_vectorizers.tfidf_vectorizer import TFIDFVectorizer
vectorizer = TFIDFVectorizer()
elif elf_server.config.rag_vectorizer=="openai":
from lollmsvectordb.lollms_vectorizers.openai_vectorizer import OpenAIVectorizer
vectorizer = OpenAIVectorizer(elf_server.config.rag_vectorizer_model, elf_server.config.rag_vectorizer_openai_key)
elif elf_server.config.rag_vectorizer=="ollama":
from lollmsvectordb.lollms_vectorizers.ollama_vectorizer import OllamaVectorizer
vectorizer = OllamaVectorizer(elf_server.config.rag_vectorizer_model, elf_server.config.rag_service_url)
vdb = VectorDatabase("", vectorizer, None if elf_server.config.rag_vectorizer=="semantic" else elf_server.model if elf_server.model else TikTokenTokenizer(), n_neighbors=elf_server.config.rag_n_chunks)
vector = vdb.vectorizer.vectorize(request.text)
return {"vector":vector}
class LollmsGenerateRequest(BaseModel):
model_config = ConfigDict(protected_namespaces=())