Poojashetty357 commited on
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37d9828
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Create app.py

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  1. app.py +58 -0
app.py ADDED
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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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+ from dotenv import load_dotenv
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+
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+ # πŸ“Œ Load API key
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+ load_dotenv()
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+ api_key = os.getenv("OPENAI_API_KEY")
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+ client = OpenAI(api_key=api_key)
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+
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+ # 🐍 Python Tutor Function
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+ def python_tutor(user_input):
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+ response = client.chat.completions.create(
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+ model="gpt-4.1-mini",
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+ messages=[
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+ {
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+ "role": "system",
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+ "content": "You are a Python tutor. Help users understand Python with short examples. Be kind, clear, and only answer Python-related questions.
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+ 1. Confirm if the question is Python-related. If not, politely inform the user and refrain from answering.
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+ 2. Provide a concise initial answer:
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+ - Include a brief explanation.
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+ - Provide a straightforward code example.
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+ -keep the quiz simple and give optionsto choose if wrong answers selelcted correct them with explanation"
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+ },
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+ {"role": "user", "content": user_input}
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+ ],
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+ temperature=0.1,
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+ max_tokens=500
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+ )
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+ return response.choices[0].message.content
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+
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+ # πŸ“š Simple Quiz Generator (fixed question for now)
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+ def ask_question():
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+ return "What is the output of print(2 + 3 * 4)?"
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+
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+ def evaluate_answer(user_answer):
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+ correct_answer = "14"
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+ if user_answer.strip() == correct_answer:
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+ return "βœ… Correct! Great job!"
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+ else:
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+ return "❌ Incorrect. Try again. Hint: Use BODMAS."
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+
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+ # 🎨 Gradio UI with Two Pages
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+ with gr.Blocks() as app:
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+ with gr.Tab("🐍 Python Tutor"):
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+ gr.Markdown("### Ask your Python question:")
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+ question_input = gr.Textbox(lines=2, label="Your Question")
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+ answer_output = gr.Textbox(label="Tutor's Answer")
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+ gr.Button("Ask").click(python_tutor, inputs=question_input, outputs=answer_output)
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+
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+ with gr.Tab("πŸ§ͺ Mini Quiz"):
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+ gr.Markdown("### Let's test your Python basics!")
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+ quiz_question = gr.Textbox(label="Question", interactive=False, value=ask_question())
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+ user_response = gr.Textbox(label="Your Answer")
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+ result_output = gr.Textbox(label="Result")
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+ gr.Button("Submit Answer").click(evaluate_answer, inputs=user_response, outputs=result_output)
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+
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+ app.launch()