hf

app.py

@@ -1,13 +1,13 @@
 import gradio as gr
 from huggingface_hub import InferenceClient, login
 import random
-from langchain_openai import ChatOpenAI
+from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint, HuggingFacePipeline
 from langchain.schema import AIMessage, HumanMessage
 import os
 
 login(token=os.environ["HUGGINGFACEHUB_API_TOKEN"])
 
-model = ChatOpenAI(model="gpt-4o-mini")
+model = ChatOpenAI(model="HuggingFaceH4/zephyr-7b-beta")
 
 def predict(message, history):
     history_langchain_format = []

requirements.txt

@@ -1,3 +1,3 @@
 huggingface_hub==0.25.2
-langchain[openai]
+langchain-huggingface
 langgraph