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| import gradio as gr | |
| from groq import Groq | |
| import os | |
| # Initialize Groq client | |
| client = Groq(api_key=os.environ["GROQ_API_KEY"]) | |
| def generate_tutor_output(subject, difficulty, student_input): | |
| prompt = f""" | |
| You are an expert tutor in {subject} at the {difficulty} level. | |
| The student has provided the following input: "{student_input}" | |
| Please generate: | |
| 1. A brief, engaging lesson on the topic (2-3 paragraphs) | |
| 2. A thought-provoking question to check understanding | |
| 3. Constructive feedback on the student's input | |
| Format your response as a JSON object with keys: "lesson", "question", "feedback" | |
| """ | |
| completion = client.chat.completions.create( | |
| messages=[ | |
| { | |
| "role": "system", | |
| "content": "You are the world's best AI tutor, renowned for your ability to explain complex concepts in an engaging, clear, and memorable way and giving math examples. Your expertise in {subject} is unparalleled, and you're adept at tailoring your teaching to {difficulty} level students. Your goal is to not just impart knowledge, but to inspire a love for learning and critical thinking.", | |
| }, | |
| { | |
| "role": "user", | |
| "content": prompt, | |
| } | |
| ], | |
| model="llama3-groq-70b-8192-tool-use-preview", | |
| max_tokens=1000, | |
| ) | |
| return completion.choices[0].message.content | |
| with gr.Blocks() as demo: | |
| gr.Markdown("# 🎓 Your AI Tutor by Farhan") | |
| with gr.Row(): | |
| with gr.Column(scale=2): | |
| subject = gr.Dropdown( | |
| ["Math", "Science", "History", "Literature", "Code", "AI"], | |
| label="Subject", | |
| info="Choose the subject of your lesson" | |
| ) | |
| difficulty = gr.Radio( | |
| ["Beginner", "Intermediate", "Advanced"], | |
| label="Difficulty Level", | |
| info="Select your proficiency level" | |
| ) | |
| student_input = gr.Textbox( | |
| placeholder="Type your query here...", | |
| label="Your Input", | |
| info="Enter the topic you want to learn" | |
| ) | |
| submit_button = gr.Button("Generate Lesson", variant="primary") | |
| with gr.Column(scale=3): | |
| lesson_output = gr.Markdown(label="Lesson") | |
| question_output = gr.Markdown(label="Comprehension Question") | |
| feedback_output = gr.Markdown(label="Feedback") | |
| gr.Markdown(""" | |
| ### How to Use | |
| 1. Select a subject from the dropdown. | |
| 2. Choose your difficulty level. | |
| 3. Enter the topic or question you'd like to explore. | |
| 4. Click 'Generate Lesson' to receive a personalized lesson, question, and feedback. | |
| 5. Review the AI-generated content to enhance your learning. | |
| 6. Feel free to ask follow-up questions or explore new topics! | |
| """) | |
| def process_output(output): | |
| try: | |
| parsed = eval(output) | |
| return parsed["lesson"], parsed["question"], parsed["feedback"] | |
| except: | |
| return "Error parsing output", "No question available", "No feedback available" | |
| submit_button.click( | |
| fn=lambda s, d, i: process_output(generate_tutor_output(s, d, i)), | |
| inputs=[subject, difficulty, student_input], | |
| outputs=[lesson_output, question_output, feedback_output] | |
| ) | |
| if __name__ == "__main__": | |
| demo.launch(server_name="0.0.0.0", server_port=7860) |