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Sourcery refactored main branch #1

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Sourcery refactored main branch #1

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'Refactored by Sourcery'
  • Loading branch information
Sourcery AI committed Jul 30, 2023
commit 5b2c804b6aa53639aea5ae701928f0e6f86c37cd
7 changes: 3 additions & 4 deletions chat.py
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Original file line number Diff line number Diff line change
Expand Up @@ -25,12 +25,11 @@
# Load embeddings and DeepLake database
def load_embeddings_and_database(active_loop_data_set_path):
embeddings = OpenAIEmbeddings()
db = DeepLake(
return DeepLake(
dataset_path=active_loop_data_set_path,
read_only=True,
embedding_function=embeddings
embedding_function=embeddings,
)
return db
Comment on lines -28 to -33
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Function load_embeddings_and_database refactored with the following changes:


# Transcribe audio using OpenAI Whisper API
def transcribe_audio(audio_file_path, openai_key):
Expand Down Expand Up @@ -88,7 +87,7 @@ def search_db(user_input, db):
# Display conversation history using Streamlit messages
def display_conversation(history):
for i in range(len(history["generated"])):
message(history["past"][i], is_user=True, key=str(i) + "_user")
message(history["past"][i], is_user=True, key=f"{str(i)}_user")
Comment on lines -91 to +90
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Function display_conversation refactored with the following changes:

message(history["generated"][i],key=str(i))
#Voice using Eleven API
voice= "Bella"
Expand Down
4 changes: 1 addition & 3 deletions scrape.py
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Expand Up @@ -90,9 +90,7 @@ def split_docs(docs):
def load_vectors_into_deeplake(dataset_path, source_chunks):
# Initialize the DeepLake database with the dataset path and embedding function
deeplake_db = DeepLake(dataset_path=dataset_path, embedding_function=embeddings)
# Add the text chunks to the database
deeplakedb=deeplake_db.add_texts(source_chunks)
return deeplakedb
return deeplake_db.add_texts(source_chunks)
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Function load_vectors_into_deeplake refactored with the following changes:

This removes the following comments ( why? ):

# Add the text chunks to the database



# Define the main function
Expand Down