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app.py

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+import gradio as gr
+import os
+import pandas as pd
+import mindsdb_sdk
+
+
+# Connect to cloud server
+email = os.environ.get('email')
+passw = os.environ.get('passw')
+
+
+# Connect to MindsDB Pro
+
+server = mindsdb_sdk.connect('https://cloud.mindsdb.com', login=email, password=passw, is_managed=True)
+project = server.get_project("mindsdb")
+model = project.list_models()[0]
+
+def classify_text(text):
+    # Classify text using the loaded model
+    var = {"Text": text}
+    data = pd.DataFrame(var, index=[0])
+    result = model.predict(data)
+    label = result['topic']
+    score = result['score']
+    return f"Label: {label}"
+
+# Create Gradio interface
+iface = gr.Interface(
+    fn=classify_text,
+    inputs=gr.inputs.Textbox(label="Enter text to classify"),
+    outputs="text",
+    title="Identify spoiler comments with zero-shot text classification",
+    description="Input a sentence here"
+)
+
+# Launch the interface
+iface.launch()

requirements.txt

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+mindsdb_sdk
+pandas