Upload 3 files

app.py

@@ -0,0 +1,54 @@
+import pandas as pd
+import numpy as np
+import re
+import streamlit as st 
+import joblib
+import numpy as np
+import pandas as pd
+
+
+html_temp = """
+    <div style="background-color:black;padding:10px">
+    <h2 style="color:white;text-align:center;">Chat GPT Review Prediction  </h2>
+    </div>
+    """
+st.markdown(html_temp, unsafe_allow_html=True)
+
+image_url="https://storage.googleapis.com/kaggle-datasets-images/6377125/10302664/91e3eb67027ab3122886b971613e7c2f/dataset-cover.jpg?t=2024-12-26-10-34-17"
+
+st.image(image_url, use_column_width=True)
+
+
+
+input_txt=st.text_input("Enter the Review")
+
+
+# preprocess the text
+
+def preprocess_text(text):
+    text = text.lower()  
+    text = re.sub(r'\d+', '', text)  
+    text = re.sub(r'[^\w\s]', '', text)  
+    text = re.sub(r'\s+', ' ', text)  
+
+    return text
+
+# loading the models
+loaded_tfidf = joblib.load("tfidf_model.joblib")
+model = joblib.load("chat_review_model.joblib")
+
+# processing
+if input:
+    test=preprocess_text(input_txt)
+    label=loaded_tfidf.transform([test])
+
+# predict and display
+if st.button("Submit"):
+    predict=model.predict(label)[0]
+        
+    if predict==1:
+        st.write("Its is a Good Review")
+        
+    elif predict==0:
+        st.write("Its is a Bad Review")
+

chat_review_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:43920f392997bec00f0921aaf501ef5f6b8348265b21f5b49377d7186d8c703d
+size 243946

tfidf_model.joblib

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:900bf57884c008f008ef9a92d840eb275459c9a6110acb321a4b4b15c1829e56
+size 1055889