Create app.py

app.py

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+import gradio as gr
+
+# Simple knowledge base
+knowledge = {
+    "ai": "Artificial Intelligence (AI) is machines that can perform tasks requiring human intelligence.",
+    "ml": "Machine Learning (ML) is a subset of AI where algorithms learn from data.",
+    "llm": "Large Language Models (LLMs) are AI systems trained on vast text data.",
+    "rag": "RAG (Retrieval Augmented Generation) combines document retrieval with AI generation.",
+    "hugging face": "Hugging Face is a platform for sharing AI models and datasets.",
+    "transformers": "Transformers are neural network architectures used in modern AI models."
+}
+
+def answer_question(question):
+    """Simple keyword-based answering"""
+    question_lower = question.lower()
+    
+    # Check for keywords
+    for keyword, answer in knowledge.items():
+        if keyword in question_lower:
+            return f"**{keyword.upper()}**: {answer}"
+    
+    # Default response
+    return """I'm a simple Q&A agent. I know about:
+• AI (Artificial Intelligence)
+• ML (Machine Learning)  
+• LLM (Large Language Models)
+• RAG (Retrieval Augmented Generation)
+• Hugging Face
+• Transformers
+
+Try asking about any of these topics!"""
+
+# Create interface
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 Simple Q&A Agent")
+    gr.Markdown("Ask me about AI, ML, LLMs, RAG, Hugging Face, or Transformers")
+    
+    # Input and output
+    question_input = gr.Textbox(
+        label="Your Question",
+        placeholder="e.g., What is AI?",
+        lines=2
+    )
+    answer_output = gr.Textbox(
+        label="Answer",
+        lines=5
+    )
+    
+    # Button
+    submit_btn = gr.Button("Get Answer", variant="primary")
+    
+    # Function
+    def get_answer(q):
+        return answer_question(q)
+    
+    # Connect
+    submit_btn.click(get_answer, inputs=[question_input], outputs=[answer_output])
+    question_input.submit(get_answer, inputs=[question_input], outputs=[answer_output])
+    
+    # Examples
+    gr.Examples(
+        examples=[
+            "What is AI?",
+            "Explain machine learning",
+            "What are LLMs?",
+            "How does RAG work?",
+            "What is Hugging Face?"
+        ],
+        inputs=[question_input]
+    )
+
+# Launch
+demo.launch(debug=False)