module import fix

app.py

@@ -12,19 +12,25 @@ from transformers import (
     pipeline,
     BitsAndBytesConfig
 )
-from langchain.vectorstores import FAISS
+from langchain_community.vectorstores import FAISS  # 修正
 from langchain.chains import ConversationalRetrievalChain
 from langchain.memory import ConversationBufferMemory
-from langchain.llms import HuggingFacePipeline
-from langchain.embeddings import HuggingFaceEmbeddings
+from langchain_community.llms import HuggingFacePipeline  # 修正
+from langchain_community.embeddings import HuggingFaceEmbeddings  # 修正
 from langchain_huggingface import HuggingFaceEndpoint
 
+# Pydanticの警告を無視
+import warnings
+warnings.filterwarnings(
+    "ignore",
+    message=r"Field \"model_name\" in HuggingFaceInferenceAPIEmbeddings has conflict with protected namespace"
+)
+
 load_dotenv()
 
 list_llm = [
     "meta-llama/Meta-Llama-3-8B-Instruct",
     "rinna/llama-3-youko-8b",
-    "rinna/japanese-gpt-neox-3.6b"
 ]
 list_llm_simple = [os.path.basename(llm) for llm in list_llm]
 
@@ -240,4 +246,4 @@ def demo():
     return demo
 
 if __name__ == "__main__":
-    demo().launch(server_name="0.0.0.0", server_port=8188)
+    demo().launch()

requirements.txt

@@ -16,4 +16,5 @@ accelerate==0.34.2
 python-dotenv==1.0.1
 bitsandbytes==0.42.0
 fugashi==1.3.2
-ipadic==1.0.0
+ipadic==1.0.0
+sentencepiece==0.2.0