Create app.py

app.py

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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-8b-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)