Create app.py

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a free Hugging Face model (small + free to run)
+generator = pipeline("text2text-generation", model="google/flan-t5-small")
+
+# Agent function
+def agentic_ai(user_input):
+    # Step 1: Analyze input
+    analysis_prompt = f"Analyze the intent of this input: {user_input}"
+    analysis = generator(analysis_prompt, max_length=50, do_sample=False)[0]['generated_text']
+
+    # Step 2: Decide what to do (simple rule-based agent)
+    if "summarize" in user_input.lower():
+        task_prompt = f"Summarize this text in 2 lines: {user_input}"
+    elif "question" in user_input.lower() or "?" in user_input:
+        task_prompt = f"Answer this question briefly: {user_input}"
+    else:
+        task_prompt = f"Generate a helpful response: {user_input}"
+
+    # Step 3: LLM Response
+    response = generator(task_prompt, max_length=80, do_sample=False)[0]['generated_text']
+
+    # Step 4: Return both analysis + final response
+    return f"🔎 Agent Analysis: {analysis}\n\n💡 Agent Response: {response}"
+
+
+# Tutorial text (20 bullets)
+tutorial_text = """
+---
+
+## 📘 How to Use this Web App (Step by Step)
+
+1. Open the app on Hugging Face.  
+2. You’ll see a text box in the center.  
+3. Type your question, statement, or text.  
+4. Click the orange **Submit** button.  
+5. The AI will analyze your input first.  
+6. You will see **Agent Analysis** (what AI thinks you mean).  
+7. You will see **Agent Response** (the final helpful reply).  
+8. If you ask a question (with “?”), AI gives an answer.  
+9. If you ask to **summarize**, AI will summarize in 2 lines.  
+10. If you type general text, AI will generate a response.  
+11. Use it for **career guidance** (“What skills for AI engineer?”).  
+12. Use it for **Q&A** (“What is blockchain in 2 lines?”).  
+13. Use it for **summarization** (“Summarize AI benefits in education”).  
+14. Use it for **decision help** (“AI or Cloud — which first?”).  
+15. You can type motivational requests (“I feel stressed”).  
+16. The agent is lightweight, runs free on Hugging Face.  
+17. No login required — runs directly in your browser.  
+18. Works best with short, clear sentences.  
+19. Try experimenting with multiple topics.  
+20. Share the app link with friends & colleagues 🚀.  
+
+---
+"""
+
+# Gradio UI with example + tutorial under output
+with gr.Blocks() as demo:
+    gr.Markdown("# 🤖 Mini Agentic LLM App")
+    gr.Markdown("Smallest free demo of an Agentic AI using NLP + LLM on Hugging Face & Gradio.")
+
+    with gr.Row():
+        user_input = gr.Textbox(lines=3, placeholder="Type your text here...")
+    output = gr.Textbox(label="AI Output")
+
+    # Button
+    run_btn = gr.Button("🚀 Run")
+
+    # Always run with example at startup
+    demo.load(fn=agentic_ai, inputs=[gr.Textbox(value="Summarize AI in one line", visible=False)], outputs=output)
+
+    run_btn.click(agentic_ai, inputs=user_input, outputs=output)
+
+    # Tutorial under the app
+    gr.Markdown(tutorial_text)
+
+if __name__ == "__main__":
+    demo.launch()