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Update app.py
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app.py
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import streamlit as st
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from transformers import pipeline
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# Load the code explainer pipeline
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@st.cache_resource
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def load_model():
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return pipeline("text2text-generation", model="philschmid/code-explainer", device=-1)
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explainer = load_model()
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# Streamlit UI
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st.title("🧠 Code Explainer (Hugging Face)")
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st.markdown("Paste any code snippet below (Python, JavaScript, etc.) and get a plain-English explanation using a Hugging Face model.")
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code_input = st.text_area("📝 Paste your code here:", height=200)
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if st.button("Explain Code"):
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if code_input.strip() == "":
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st.warning("Please paste some code to explain.")
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else:
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with st.spinner("Explaining your code..."):
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result = explainer(f"Explain this code: {code_input}")
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explanation = result[0]['generated_text']
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st.success("✅ Explanation:")
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st.write(explanation)
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