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app.py
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@@ -46,20 +46,3 @@ if st.button("Predict"):
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st.success(f"Predicted Sales Revenue (in dollars): {prediction}")
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else:
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st.error("Error making prediction.")
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# # Section for batch prediction
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# st.subheader("Batch Prediction")
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# # Allow users to upload a CSV file for batch prediction
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# uploaded_file = st.file_uploader("Upload CSV file for batch prediction", type=["csv"])
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# # Make batch prediction when the "Predict Batch" button is clicked
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# if uploaded_file is not None:
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# if st.button("Predict Batch"):
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# response = requests.post("https://pragmat-SalesRevenuePredictionBackend.hf.space/v1/revenuebatch", files={"file": uploaded_file}) # Send file to Flask API
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# if response.status_code == 200:
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# predictions = response.json()
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# st.success("Batch predictions completed!")
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# st.write(predictions) # Display the predictions
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# else:
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# st.error("Error making batch prediction.")
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st.success(f"Predicted Sales Revenue (in dollars): {prediction}")
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else:
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st.error("Error making prediction.")
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