code.py

import streamlit as st
import docx2txt
from PyPDF2 import PdfReader

def extract_text_from_file(uploaded_file):
    # Get file extension
    file_extension = uploaded_file.name.split(".")[-1]
    
    if file_extension == "txt":
        # Read text file directly
        text = uploaded_file.read().decode("utf-8")
    elif file_extension == "docx":
        # Extract text from docx
        text = docx2txt.process(uploaded_file)
    elif file_extension == "pdf":
        # Extract text from pdf
        pdf_reader = PdfReader(uploaded_file)
        text = ""
        for page in pdf_reader.pages:
            text += page.extract_text()
    else:
        st.error("Invalid file format. Please upload a .txt, .docx, or .pdf file.")
        return None
    
    return text.lower()

# List of keywords to search for
keywords = [
    "Delve", "Harnessing", "At the heart of", "In essence", "Facilitating", 
    "Intrinsic", "Integral", "Core", "Facet", "Nuance", "Culmination", 
    "Manifestation", "Inherent", "Confluence", "Underlying", "Intricacies", 
    "Epitomize", "Embodiment", "Iteration", "Synthesize", "Amplify", 
    "Impetus", "Catalyst", "Synergy", "Cohesive", "Paradigm", "Dynamics", 
    "Implications", "Prerequisite", "Fusion", "Holistic", "Quintessential", 
    "Cohesion", "Symbiosis", "Integration", "Encompass", "Unveil", "Unravel", 
    "Emanate", "Illuminate", "Reverberate", "Augment", "Infuse", "Extrapolate", 
    "Embody", "Unify", "Inflection", "Instigate", "Embark", "Envisage", 
    "Elucidate", "Substantiate", "Resonate", "Catalyze", "Resilience", 
    "Evoke", "Pinnacle", "Evolve", "Digital Bazaar", "Tapestry", "Leverage", 
    "Centerpiece", "Subtlety", "Immanent", "Exemplify", "Blend", 
    "Comprehensive", "Archetypal", "Unity", "Harmony", "Conceptualize", 
    "Reinforce", "Mosaic"
]

# lower keyword list
keywords = [keyword.lower() for keyword in keywords]


st.title("AI Text Detection App")
st.write("Upload a text file, Word document, PDF, or directly enter text to check for specific keywords.")

# Option 1: File Uploader
uploaded_file = st.file_uploader("Choose a file (optional)", type=["txt", "docx", "pdf"])

# Option 2: Text Input
text_input = st.text_area("Or enter text here:")

if uploaded_file is not None:
    text = extract_text_from_file(uploaded_file)
elif text_input:
    text = text_input.lower()
else:
    st.info("Please upload a file or enter text.")
    text = None  # Set text to None if no input is provided

if text:
    found_keywords = []
    for keyword in keywords:
        if keyword in text:
            found_keywords.append(keyword)

    if found_keywords:
        st.write("**Found Keywords:**")
        for keyword in found_keywords:
            st.success(f"- {keyword}")
    else:
        st.write("No keywords found in the text.")