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Update app.py
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app.py
CHANGED
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@@ -28,7 +28,7 @@ def create_vector_db():
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=70)
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# texts = text_splitter.split_documents(documents)
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print(texts[3])
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# embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
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# df = pd.DataFrame(texts)
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@@ -70,7 +70,7 @@ def create_vector_db():
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=70)
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# texts = text_splitter.split_documents(documents)
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print(texts[3])
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# embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
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# df = pd.DataFrame(texts)
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#
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@@ -89,7 +89,7 @@ def create_vector_db():
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# df[0] = df[0].str[:-2]
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print(df.iloc[[3]])
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# df['embeddings'] = df[0].apply(lambda x: embedding_model.encode(x))
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@@ -110,7 +110,7 @@ def create_vector_db():
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=70)
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# texts = text_splitter.split_documents(documents)
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print(texts[3])
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# embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
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# df = pd.DataFrame(texts)
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=70)
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# texts = text_splitter.split_documents(documents)
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# print(texts[3])
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# embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
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# df = pd.DataFrame(texts)
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=70)
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# texts = text_splitter.split_documents(documents)
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# print(texts[3])
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# embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
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# df = pd.DataFrame(texts)
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#
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# df[0] = df[0].str[:-2]
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# print(df.iloc[[3]])
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# df['embeddings'] = df[0].apply(lambda x: embedding_model.encode(x))
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# text_splitter = RecursiveCharacterTextSplitter(chunk_size=350, chunk_overlap=70)
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# texts = text_splitter.split_documents(documents)
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# print(texts[3])
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# embedding_model = SentenceTransformer("all-MiniLM-L6-v2")
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# df = pd.DataFrame(texts)
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