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Update app.py
Browse files
app.py
CHANGED
@@ -28,17 +28,37 @@ from langchain.chains import ConversationalRetrievalChain
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GROQ_API_KEY = os.getenv("groq")
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# gemni_KEY = os.getenv("gemni")
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# export GOOGLE_API_KEY=gemni_KEY
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loaders = [
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]
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documents = []
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for ldr in loaders:
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docs = ldr.load()
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documents.extend(docs)
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print(f"Loaded {len(documents)} file(s)")
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# --------------------------------------------------------------------------------------
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# 2. Chunk documents & build FAISS index
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# --------------------------------------------------------------------------------------
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GROQ_API_KEY = os.getenv("groq")
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# gemni_KEY = os.getenv("gemni")
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# export GOOGLE_API_KEY=gemni_KEY
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# loaders = [
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# DirectoryLoader("bonusGeneralTerms_bs.pdf", loader_cls=PyPDFLoader),
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# DirectoryLoader("FAQ.pdf", loader_cls=PyPDFLoader),
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# ]
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# documents = []
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# for ldr in loaders:
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# docs = ldr.load()
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# documents.extend(docs)
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# print(f"Loaded {len(documents)} file(s)")
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file_paths = [
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"bonusGeneralTerms_bs.pdf",
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"FAQ.pdf"
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]
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documents = []
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# 2. Loop through the list of file paths.
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for path in file_paths:
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try:
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# 3. Use PyPDFLoader for each individual file path.
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loader = PyPDFLoader(path)
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# Load the documents for the current file and add them to the list.
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# .load() returns a list of Document objects (one per page).
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documents.extend(loader.load())
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except Exception as e:
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# Optional: Add error handling in case a file is missing or corrupt.
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print(f"Error loading file {path}: {e}")
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# The user's original print statement works perfectly here.
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# Note: This will print the total number of *pages*, not files.
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print(f"Loaded {len(documents)} document pages from {len(file_paths)} file(s)")
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# --------------------------------------------------------------------------------------
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# 2. Chunk documents & build FAISS index
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# --------------------------------------------------------------------------------------
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