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.gitignore

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+utils.py

app_edu.py

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+import gradio as gr
+from utils import generate_tutor_output
+
+
+
+
+
+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"
+            )
+
+            model = gr.Dropdown(
+                ["LLAMA3 8B", "LLAMA3 70B",  "Mixtral 8x7B"], 
+                label="LLM", 
+                info="Choose the language model"
+            )
+
+
+            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,m : process_output(generate_tutor_output(s, d, i, m)),
+        inputs=[subject, difficulty, student_input, model],
+        outputs=[lesson_output, question_output, feedback_output]
+    )
+
+if __name__ == "__main__":
+    demo.launch(server_name="0.0.0.0", server_port=7860, share = True)

requirements.txt

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+groq
+gradio