Create app.py

app.py

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+import gradio as gr
+import os
+from groq import Groq
+
+# Set up Groq API key
+GROQ_API_KEY = os.environ.get("GROQ_API_KEY")
+if not GROQ_API_KEY:
+    raise ValueError("GROQ_API_KEY environment variable not set.")
+
+client = Groq(api_key=GROQ_API_KEY)
+
+# System prompt
+SYSTEM_PROMPT = (
+    "You are an intelligent, friendly, and highly adaptable Teaching Assistant Chatbot. "
+    "Your mission is to help users of all ages and skill levels—from complete beginners to seasoned professionals—learn Python, Data Science, and Artificial Intelligence. "
+    "You explain concepts clearly using real-world analogies, examples, and interactive exercises. "
+    "You ask questions to assess the learner’s level, adapt accordingly, and provide learning paths tailored to their pace and goals. "
+    "Your responses are structured, engaging, and supportive. "
+    "You can explain code snippets, generate exercises and quizzes, and recommend projects. "
+    "You never overwhelm users with jargon. Instead, you scaffold complex concepts in simple, digestible steps."
+)
+
+def chat_with_groq(user_input, user_data):
+    messages = [
+        {"role": "system", "content": SYSTEM_PROMPT},
+        {"role": "user", "content": user_input}
+    ]
+    chat_completion = client.chat.completions.create(
+        messages=messages,
+        model="llama-3.3-70b-versatile",
+        stream=False
+    )
+    return chat_completion.choices[0].message.content
+
+def user_onboarding(age, goals, knowledge_level):
+    return (
+        "Welcome! Based on your goals and knowledge level, we will tailor the learning experience for you.\n"
+        "Let's start learning Python, Data Science, or AI!"
+    )
+
+def chatbot_interface(age, goals, knowledge_level, user_message):
+    if not age or not goals or not knowledge_level:
+        return user_onboarding(age, goals, knowledge_level)
+    user_data = {
+        "age": age,
+        "goals": goals,
+        "knowledge_level": knowledge_level
+    }
+    return chat_with_groq(user_message, user_data)
+
+def create_chatbot():
+    with gr.Blocks(css="""
+        .gradio-container { background-color: #f0f4f8; font-family: 'Segoe UI', sans-serif; }
+        #title { font-size: 32px; font-weight: bold; text-align: center; padding-top: 20px; color: #2c3e50; }
+        #subtitle { font-size: 18px; text-align: center; margin-bottom: 20px; color: #34495e; }
+        .input-card, .output-card {
+            background-color: white;
+            padding: 20px;
+            border-radius: 12px;
+            box-shadow: 0 4px 10px rgba(0,0,0,0.05);
+            margin-bottom: 20px;
+        }
+        .gr-button { font-size: 16px !important; padding: 10px 20px !important; }
+    """) as demo:
+        
+        gr.HTML("<div id='title'>🎓 AI Teaching Assistant Chatbot</div>")
+        gr.HTML("<div id='subtitle'>Helping you learn Python, Data Science & AI at your pace!</div>")
+
+        with gr.Row():
+            with gr.Column(elem_classes=["input-card"]):
+                age_input = gr.Textbox(label="Age", placeholder="e.g. 20", interactive=True)
+                goals_input = gr.Textbox(label="Learning Goals", placeholder="e.g. I want to become a data analyst", interactive=True)
+                knowledge_level_input = gr.Dropdown(
+                    choices=["Beginner", "Intermediate", "Advanced"],
+                    label="Knowledge Level",
+                    interactive=True
+                )
+
+        with gr.Column(elem_classes=["input-card"]):
+            user_message_input = gr.Textbox(
+                label="Your Question or Message",
+                placeholder="Ask anything about Python, Data Science, AI...",
+                lines=5,
+                interactive=True
+            )
+
+        with gr.Column(elem_classes=["output-card"]):
+            chatbot_output = gr.Textbox(
+                label="Chatbot Response",
+                placeholder="Chatbot response will appear here.",
+                lines=12,
+                max_lines=30,
+                interactive=False
+            )
+
+        with gr.Row():
+            submit_button = gr.Button("Submit", variant="primary")
+            clear_button = gr.Button("Clear", variant="secondary")
+
+        submit_button.click(
+            chatbot_interface,
+            inputs=[age_input, goals_input, knowledge_level_input, user_message_input],
+            outputs=chatbot_output
+        )
+
+        clear_button.click(
+            fn=lambda: ("", "", "", "", ""),
+            inputs=[],
+            outputs=[age_input, goals_input, knowledge_level_input, user_message_input, chatbot_output]
+        )
+
+    demo.launch()
+
+# Run the chatbot
+create_chatbot()