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Update app.py
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app.py
CHANGED
@@ -89,7 +89,6 @@ from langchain.vectorstores import Chroma
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import gradio as gr
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from transformers import pipeline
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from sentence_transformers import SentenceTransformer
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import numpy as np
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__import__('pysqlite3')
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sys.modules['sqlite3'] = sys.modules.pop('pysqlite3')
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@@ -120,7 +119,8 @@ embeddings = embedding_model.encode(texts).tolist() # Convert numpy arrays to l
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# Create a Chroma vector store and add documents and their embeddings
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vectorstore = Chroma(persist_directory="./data")
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vectorstore.persist()
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# Load the Hugging Face model for text generation
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@@ -177,3 +177,4 @@ demo.launch(debug=True)
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import gradio as gr
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from transformers import pipeline
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from sentence_transformers import SentenceTransformer
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__import__('pysqlite3')
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sys.modules['sqlite3'] = sys.modules.pop('pysqlite3')
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# Create a Chroma vector store and add documents and their embeddings
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vectorstore = Chroma(persist_directory="./data")
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for text, embedding in zip(texts, embeddings):
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vectorstore.add_texts([text], [embedding])
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vectorstore.persist()
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# Load the Hugging Face model for text generation
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