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app.py

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+import gradio as gr
+import joblib
+
+with open('intent_classifier', 'rb') as file:
+    model = joblib.load(file)
+
+with open('c_intent_vectorizer', 'rb') as file:
+    vectorizer = joblib.load(file)
+
+def preprocess_input(data):
+  tokens = data.lower().split()
+  filtered = [text for text in tokens if text.isalpha()]
+  return ' '.join(filtered)
+
+def predict(text):
+    model_input = preprocess_input(text)
+    vectorized_input = vectorizer.transform([model_input])
+    prediction = model.predict(vectorized_input)
+    return prediction
+    
+
+demo = gr.Interface(fn=predict, inputs="textbox", outputs="textbox")
+
+demo.launch()