Add application file

app.py

@@ -0,0 +1,28 @@
+import gradio as gr
+import pickle
+import pandas as pd
+
+# Load the model from the file
+with open('xgb_model.pkl', 'rb') as file:
+    model = pickle.load(file)
+
+with open('tfidf_vectorizer.pkl', 'rb') as file:
+    vectorizer = pickle.load(file)
+
+
+def predict(text):
+    # Transform the text using the loaded vectorizer
+    text_transformed = vectorizer.transform([text])
+
+    # Make prediction using the loaded model
+    prediction = model.predict(text_transformed)[0]
+
+    return prediction
+
+
+# Create a Gradio interface
+input_text = gr.inputs.Textbox(label="Input Text")
+output_text = gr.outputs.Textbox(label="Prediction")
+
+gr.Interface(fn=predict, inputs=input_text, outputs=output_text).launch()
+