Upload 2 files
Browse files- app.py +71 -0
- requirements.txt +2 -0
app.py
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import os
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import gradio as gr
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from openai import OpenAI
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# Hugging Face Spaces secret name:
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# Add this in Space Settings > Secrets:
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# OPENAI_API_KEY = your_openai_api_key
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OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
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MODEL_NAME = os.getenv("OPENAI_MODEL", "gpt-5.5")
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client = OpenAI(api_key=OPENAI_API_KEY) if OPENAI_API_KEY else None
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SYSTEM_INSTRUCTIONS = """
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You are a helpful Python tutor and AI assistant.
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Explain concepts clearly, give simple examples, and help beginners debug code step by step.
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Keep answers practical and beginner-friendly.
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"""
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def ask_ai(user_question):
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if not OPENAI_API_KEY:
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return (
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"OPENAI_API_KEY is missing.\n\n"
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"In Hugging Face Spaces, go to:\n"
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"Settings > Secrets > New Secret\n\n"
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"Name: OPENAI_API_KEY\n"
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"Value: your OpenAI API key"
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)
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if not user_question or not user_question.strip():
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return "Please enter a question."
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try:
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# Important:
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# Do NOT pass temperature for gpt-5.5.
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# Some GPT-5.x models only support the default temperature value.
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response = client.responses.create(
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model=MODEL_NAME,
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instructions=SYSTEM_INSTRUCTIONS,
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input=user_question.strip(),
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)
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return response.output_text
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except Exception as e:
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return f"Error: {type(e).__name__}\n\n{str(e)}"
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demo = gr.Interface(
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fn=ask_ai,
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inputs=gr.Textbox(
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label="Ask your question",
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placeholder="Example: Explain Python lists with a simple example",
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lines=5,
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),
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outputs=gr.Markdown(label="AI Response"),
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title="Python Tutor with OpenAI",
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description=(
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"A simple Hugging Face Spaces app using OpenAI. "
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"Add OPENAI_API_KEY in Hugging Face Secrets before running."
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),
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examples=[
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["Explain Python functions with one simple example."],
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["What is the difference between a list and a tuple in Python?"],
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["Fix this code: for i in range(5) print(i)"],
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],
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)
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if __name__ == "__main__":
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demo.launch()
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requirements.txt
ADDED
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@@ -0,0 +1,2 @@
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gradio
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openai
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