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tusuii / falcon_pdf_bot.py
Created July 16, 2023 12:16 — forked from abhishekkrthakur/falcon_pdf_bot.py
This is a reference to the YouTube tutorial here: https://youtu.be/hSQY4N1u3v0
import argparse
from pdfminer.high_level import extract_text
from sentence_transformers import SentenceTransformer, CrossEncoder, util
from text_generation import Client
PREPROMPT = "Below are a series of dialogues between various people and an AI assistant. The AI tries to be helpful, polite, honest, sophisticated, emotionally aware, and humble-but-knowledgeable. The assistant is happy to help with almost anything, and will do its best to understand exactly what is needed. It also tries to avoid giving false or misleading information, and it caveats when it isn't entirely sure about the right answer. That said, the assistant is practical and really does its best, and doesn't let caution get too much in the way of being useful.\n"
PROMPT = """"Use the following pieces of context to answer the question at the end.
If you don't know the answer, just say that you don't know, don't try to
@abhishekkrthakur
abhishekkrthakur / falcon_pdf_bot.py
Created July 16, 2023 09:03
This is a reference to the YouTube tutorial here: https://youtu.be/hSQY4N1u3v0
import argparse
from pdfminer.high_level import extract_text
from sentence_transformers import SentenceTransformer, CrossEncoder, util
from text_generation import Client
PREPROMPT = "Below are a series of dialogues between various people and an AI assistant. The AI tries to be helpful, polite, honest, sophisticated, emotionally aware, and humble-but-knowledgeable. The assistant is happy to help with almost anything, and will do its best to understand exactly what is needed. It also tries to avoid giving false or misleading information, and it caveats when it isn't entirely sure about the right answer. That said, the assistant is practical and really does its best, and doesn't let caution get too much in the way of being useful.\n"
PROMPT = """"Use the following pieces of context to answer the question at the end.
If you don't know the answer, just say that you don't know, don't try to
@tusuii
tusuii / DS_V.py
Last active July 7, 2023 15:49
MSc Data Science (Data Visualization) codes snippets
# practical 1 : Create one-dimensional data using series and perform various operations on it
import numpy as np
# Create a one-dimensional data series
data = np.array([1, 2, 3, 4, 5, 6])
print("Data Series:", data)
# mathematical operations
@sundowndev
sundowndev / GoogleDorking.md
Last active October 28, 2025 20:22
Google dork cheatsheet

Google dork cheatsheet

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