Upload 3 files

app.py

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+import gradio as gr
+import pickle
+
+# Load your model
+with open("model/model.pkl", "rb") as f:
+    model = pickle.load(f)
+
+# Define prediction function
+def predict(input_text):
+    return model.predict([input_text])[0]
+
+# Create Gradio Interface
+interface = gr.Interface(
+    fn=predict,
+    inputs="text",
+    outputs="text",
+    title="ML Model Deployment"
+)
+
+if __name__ == "__main__":
+    interface.launch()

model/model.pkl

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+version https://git-lfs.github.com/spec/v1
+oid sha256:2fd44755b439aa2f6a33b641f4db91d8b112152c32da4e329512fb440af5e6ff
+size 2533

requirements.txt

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+gradio
+scikit-learn