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Update app.py
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app.py
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@@ -73,19 +73,19 @@ def upload_gitRepository():
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target_path = f"{REPOSITORY_DIRECTORY}/{filename}"
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print("Constructed target path:", target_path) # Debug print statement
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# Upload the ZIP file to the new folder in the Hugging Face space repository
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def process_directory(directory):
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all_texts = []
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@@ -194,10 +194,10 @@ def initialize():
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global vectorstore, chunks, llm
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upload_gitRepository()
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# Gradio utils
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def check_input_text(text):
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target_path = f"{REPOSITORY_DIRECTORY}/{filename}"
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print("Constructed target path:", target_path) # Debug print statement
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# if target_path in existing_files:
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# print(f"File '{target_path}' already exists in the repository. Skipping upload...")
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# continue
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# Upload the ZIP file to the new folder in the Hugging Face space repository
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# api.upload_file(
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# path_or_fileobj=archive_bytes,
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# path_in_repo=target_path,
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# repo_id=HF_SPACE_NAME,
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# repo_type='space'
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# )
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# print(f"Repository '{project_id}' downloaded and uploaded to Hugging Face space '{HF_SPACE_NAME}' in folder '{REPOSITORY_DIRECTORY}' with original file name '{filename}'")
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def process_directory(directory):
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all_texts = []
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global vectorstore, chunks, llm
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upload_gitRepository()
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# all_texts, file_references = process_directory(REPOSITORY_DIRECTORY)
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# chunks = split_into_chunks(all_texts, file_references, CHUNK_SIZE, CHUNK_OVERLAP)
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# vectorstore = setup_chroma(chunks, EMBEDDING_MODEL_NAME, PERSIST_DIRECTORY)
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# llm = setup_llm(LLM_MODEL_NAME, LLM_TEMPERATURE, GROQ_API_KEY)
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# Gradio utils
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def check_input_text(text):
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