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| import gradio as gr | |
| import os | |
| from openai import OpenAI | |
| # Initialize OpenAI client | |
| client = OpenAI(api_key=os.getenv("OPENAI_API_KEY")) | |
| def study_ai(question, language="English"): | |
| """StudyMyExam AI: gives answers, quizzes, flashcards, and a tip.""" | |
| prompt = f""" | |
| You are StudyMyExam AI, a helpful learning assistant. | |
| Respond in {language}. | |
| 1. Give a clear answer to the question. | |
| 2. Create 5 quiz questions about the topic. | |
| 3. Make 5 flashcards with key points. | |
| 4. End with one motivational tip for studying. | |
| Question: {question} | |
| """ | |
| try: | |
| response = client.chat.completions.create( | |
| model="gpt-4o-mini", | |
| messages=[{"role": "user", "content": prompt}], | |
| temperature=0.7, | |
| ) | |
| return response.choices[0].message.content | |
| except Exception as e: | |
| return f"❌ Error: {str(e)}" | |
| # Create Gradio interface | |
| interface = gr.Interface( | |
| fn=study_ai, | |
| inputs=[ | |
| gr.Textbox(label="Ask your question"), | |
| gr.Textbox(label="Language (e.g., English, Spanish)", value="English"), | |
| ], | |
| outputs=gr.Textbox(label="AI Response"), | |
| title="📘 StudyMyExam.AI", | |
| description="Ask any study question. Get explanations, quizzes, flashcards, and tips!" | |
| ) | |
| interface.launch() |