| from langchain.document_loaders import BSHTMLLoader, DirectoryLoader | |
| bshtml_dir_loader = DirectoryLoader('./data/', loader_cls=BSHTMLLoader) | |
| data = bshtml_dir_loader.load() | |
| from langchain.text_splitter import RecursiveCharacterTextSplitter | |
| text_splitter = RecursiveCharacterTextSplitter( | |
| chunk_size = 1000, | |
| chunk_overlap = 20, | |
| length_function = len, | |
| ) | |
| documents = text_splitter.split_documents(data) | |
| import os | |
| os.environ["OPENAI_API_KEY"] = "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" | |
| from langchain.embeddings.openai import OpenAIEmbeddings | |
| embeddings = OpenAIEmbeddings() | |
| import gradio as gr | |
| def greet(name): | |
| return "Hello " + name + "!!" | |
| iface = gr.Interface(fn=greet, inputs="text", outputs="text") | |
| iface.launch() | |