Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,7 +1,7 @@
|
|
| 1 |
import gradio as gr
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM, AutoModelForSeq2SeqLM
|
| 3 |
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
|
| 4 |
-
from llama_index.llms
|
| 5 |
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
|
| 6 |
import os
|
| 7 |
|
|
@@ -17,10 +17,10 @@ indicbart_model = AutoModelForSeq2SeqLM.from_pretrained("ai4bharat/IndicBART")
|
|
| 17 |
embed_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
|
| 18 |
|
| 19 |
llm = HuggingFaceLLM(
|
| 20 |
-
|
|
|
|
| 21 |
max_new_tokens=512,
|
| 22 |
-
|
| 23 |
-
tokenizer_name="deepseek-ai/DeepSeek-R1"
|
| 24 |
)
|
| 25 |
|
| 26 |
service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
|
|
|
|
| 1 |
import gradio as gr
|
| 2 |
from transformers import AutoTokenizer, AutoModelForCausalLM, AutoModelForSeq2SeqLM
|
| 3 |
from llama_index.core import VectorStoreIndex, SimpleDirectoryReader, ServiceContext
|
| 4 |
+
from llama_index.llms import HuggingFaceLLM
|
| 5 |
from llama_index.embeddings.huggingface import HuggingFaceEmbedding
|
| 6 |
import os
|
| 7 |
|
|
|
|
| 17 |
embed_model = HuggingFaceEmbedding(model_name="sentence-transformers/all-MiniLM-L6-v2")
|
| 18 |
|
| 19 |
llm = HuggingFaceLLM(
|
| 20 |
+
model_name="deepseek-ai/DeepSeek-R1",
|
| 21 |
+
tokenizer_name="deepseek-ai/DeepSeek-R1",
|
| 22 |
max_new_tokens=512,
|
| 23 |
+
context_window=4096
|
|
|
|
| 24 |
)
|
| 25 |
|
| 26 |
service_context = ServiceContext.from_defaults(llm=llm, embed_model=embed_model)
|