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Browse files- README.md +19 -0
- requirements.txt +2 -0
- streamlit_app.py +33 -0
README.md
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---
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title: GPT Code Explainer 💡
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emoji: 🤖
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colorFrom: blue
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colorTo: purple
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sdk: streamlit
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sdk_version: "1.35.0"
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app_file: streamlit_app.py
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pinned: false
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---
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# 🤖 GPT Code Explainer (OpenAI GPT-3.5)
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This app uses the OpenAI GPT-3.5 model to explain Python code in natural language.
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## 💡 How to Use
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1. Paste Python code into the text area.
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2. Add your OpenAI API key as a secret called `OPENAI_API_KEY` in your Hugging Face Space (or as a local env variable).
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3. Click "Explain" to get a clear explanation of the code.
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requirements.txt
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openai
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streamlit
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streamlit_app.py
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import streamlit as st
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import openai
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import os
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st.set_page_config(page_title="GPT Code Explainer", layout="centered")
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st.title("🧠 GPT-3.5 Code Explainer")
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st.write("Paste your Python code below and get a detailed explanation using OpenAI GPT-3.5.")
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code_input = st.text_area("Paste Python Code", height=200)
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openai_api_key = os.getenv("OPENAI_API_KEY")
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if st.button("Explain"):
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if not openai_api_key:
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st.error("OPENAI_API_KEY not set. Add it as a secret in your Hugging Face Space or local environment.")
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elif code_input.strip():
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with st.spinner("Asking GPT-3.5..."):
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prompt = f"Explain the following Python function step-by-step in plain English:\n\n{code_input.strip()}"
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try:
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response = openai.ChatCompletion.create(
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model="gpt-3.5-turbo",
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messages=[{"role": "user", "content": prompt}],
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max_tokens=512,
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temperature=0.5
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)
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explanation = response.choices[0].message["content"].strip()
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st.subheader("✅ Explanation")
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st.write(explanation)
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except Exception as e:
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st.error(f"OpenAI API error: {e}")
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else:
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st.warning("Please paste some code to explain.")
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