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Update app.py
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app.py
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@@ -1,4 +1,5 @@
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import streamlit as st
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import pickle
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from PyPDF2 import PdfReader
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from streamlit_extras.add_vertical_space import add_vertical_space
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@@ -99,10 +100,16 @@ def main():
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VectorStore = load_pdf(pdf)
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max_tokens = 100 # Initial max tokens
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chain = load_chatbot(max_tokens=max_tokens)
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docs = VectorStore.similarity_search(query=query, k=
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with get_openai_callback() as cb:
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response = chain.run(input_documents=docs, question=query)
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# Check if the response ends with a sentence-ending punctuation
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while not response.strip().endswith(('.', '!', '?')) and max_tokens < MAX_TOKEN_LIMIT:
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max_tokens += 50 # Increase the max_tokens limit
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import streamlit as st
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import re
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import pickle
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from PyPDF2 import PdfReader
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from streamlit_extras.add_vertical_space import add_vertical_space
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VectorStore = load_pdf(pdf)
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max_tokens = 100 # Initial max tokens
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chain = load_chatbot(max_tokens=max_tokens)
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docs = VectorStore.similarity_search(query=query, k=1)
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with get_openai_callback() as cb:
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response = chain.run(input_documents=docs, question=query)
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# Filtering similar responses (a simple example using set to remove duplicate sentences)
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response_sentences = response.split('. ')
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unique_sentences = set(response_sentences)
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filtered_response = '. '.join(unique_sentences)
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# Check if the response ends with a sentence-ending punctuation
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while not response.strip().endswith(('.', '!', '?')) and max_tokens < MAX_TOKEN_LIMIT:
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max_tokens += 50 # Increase the max_tokens limit
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