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Browse files- .gitattributes +2 -0
- ChatGPT_Reviews.csv +3 -0
- ChatGpt_Reviews.docx +3 -0
- Chat_GPT_Notebook (1).ipynb +0 -0
- app.py +54 -0
- chat_review_model.joblib +3 -0
- requirements.txt +9 -0
- tfidf_model.joblib +3 -0
.gitattributes
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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*.zip filter=lfs diff=lfs merge=lfs -text
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*.zst filter=lfs diff=lfs merge=lfs -text
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*tfevents* filter=lfs diff=lfs merge=lfs -text
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ChatGPT_Reviews.csv filter=lfs diff=lfs merge=lfs -text
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ChatGpt_Reviews.docx filter=lfs diff=lfs merge=lfs -text
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ChatGPT_Reviews.csv
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version https://git-lfs.github.com/spec/v1
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oid sha256:7e838ac76a7a83a8bbf807033501d4f737b476da0d10e0abe89ddb66ad660167
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size 20716595
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ChatGpt_Reviews.docx
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version https://git-lfs.github.com/spec/v1
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oid sha256:582656821cc8711ad065737d9d7df22f0eed12d575bf243d4fc85b84cdc816e2
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size 1108696
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Chat_GPT_Notebook (1).ipynb
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The diff for this file is too large to render.
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app.py
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import pandas as pd
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import numpy as np
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import re
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import streamlit as st
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import joblib
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import numpy as np
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import pandas as pd
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html_temp = """
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<div style="background-color:black;padding:10px">
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<h2 style="color:white;text-align:center;">Chat GPT Review Prediction </h2>
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</div>
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"""
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st.markdown(html_temp, unsafe_allow_html=True)
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image_url="https://storage.googleapis.com/kaggle-datasets-images/6377125/10302664/91e3eb67027ab3122886b971613e7c2f/dataset-cover.jpg?t=2024-12-26-10-34-17"
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st.image(image_url, use_container_width=True)
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input_txt=st.text_input("Enter the Review")
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# preprocess the text
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def preprocess_text(text):
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text = text.lower()
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text = re.sub(r'\d+', '', text)
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text = re.sub(r'[^\w\s]', '', text)
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text = re.sub(r'\s+', ' ', text)
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return text
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# loading the models
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loaded_tfidf = joblib.load("tfidf_model.joblib")
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model = joblib.load("chat_review_model.joblib")
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# processing
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if input:
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test=preprocess_text(input_txt)
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label=loaded_tfidf.transform([test])
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# predict and display
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if st.button("Submit"):
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predict=model.predict(label)[0]
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if predict==1:
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st.write("Its is a Good Review")
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elif predict==0:
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st.write("Its is a Bad Review")
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chat_review_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:43920f392997bec00f0921aaf501ef5f6b8348265b21f5b49377d7186d8c703d
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size 243946
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requirements.txt
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joblib==1.2.0
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matplotlib==3.7.2
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matplotlib-inline==0.1.6
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numpy==1.24.4
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pandas==2.2.2
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scikit-learn==1.4.1.post1
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streamlit==1.33.0
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streamlit-chat==0.1.1
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nltk==3.8.1
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tfidf_model.joblib
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version https://git-lfs.github.com/spec/v1
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oid sha256:900bf57884c008f008ef9a92d840eb275459c9a6110acb321a4b4b15c1829e56
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size 1055889
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