first commit

app.py

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+"""
+AI Chatbot with Gradio - Lesson 2
+Build and Share AI Demos Instantly with Gradio 🚀
+
+A self-contained chatbot app using LangChain + Gradio.
+Perfect for demos, job interviews, and portfolio projects.
+"""
+
+import gradio as gr
+from langchain_groq import ChatGroq
+from langchain_core.messages import HumanMessage, SystemMessage
+import os
+from dotenv import load_dotenv
+
+# Load environment variables
+load_dotenv()
+
+# Initialize the LLM
+llm = ChatGroq(
+    model="llama-3.1-8b-instant",
+    temperature=0.7,
+    api_key=os.getenv("GROQ_API_KEY")
+)
+
+def get_ai_response(user_message: str) -> str:
+    """Generate AI response for user message"""
+    messages = [
+        SystemMessage(
+            content="You are a helpful AI assistant. Answer the user's questions."
+        ),
+        HumanMessage(content=user_message),
+    ]
+    response = llm.invoke(messages)
+    return response.content
+
+def chatbot_interface(message, history):
+    """Handle chatbot conversation flow"""
+    if not message.strip():
+        return history, ""
+    
+    bot_response = get_ai_response(message)
+    
+    # Add to history using the new messages format
+    history.append({"role": "user", "content": message})
+    history.append({"role": "assistant", "content": bot_response})
+    
+    return history, ""
+
+def create_interface():
+    """Create and configure the Gradio interface"""
+    with gr.Blocks(theme=gr.themes.Soft()) as demo:
+        # Header
+        gr.Markdown("# 🤖 AI Chatbot Assistant")
+        gr.Markdown("Ask me anything and I'll help you with intelligent responses!")
+
+        # Chat components
+        chatbot = gr.Chatbot(
+            value=[], 
+            height=400, 
+            label="Chat History",
+            show_copy_button=True,
+            type="messages"  # Use new messages format
+        )
+        
+        msg = gr.Textbox(
+            placeholder="Type your message here...", 
+            label="Your Message",
+            lines=2
+        )
+
+        # Buttons
+        with gr.Row():
+            submit_btn = gr.Button("Send", variant="primary")
+            clear_btn = gr.Button("Clear Chat", variant="secondary")
+
+        # Event handlers
+        submit_btn.click(
+            chatbot_interface, 
+            inputs=[msg, chatbot], 
+            outputs=[chatbot, msg]
+        )
+        
+        msg.submit(
+            chatbot_interface, 
+            inputs=[msg, chatbot], 
+            outputs=[chatbot, msg]
+        )
+        
+        clear_btn.click(
+            lambda: ([], ""), 
+            inputs=[], 
+            outputs=[chatbot, msg]
+        )
+
+        # Footer
+        gr.Markdown("---")
+        gr.Markdown("💡 Built with Gradio + LangChain + Groq")
+
+    return demo
+
+if __name__ == "__main__":
+    # Create and launch the interface
+    demo = create_interface()
+    demo.launch(
+        share=True,           # Creates public shareable link
+        server_name="127.0.0.1",  # Use localhost instead of 0.0.0.0
+        server_port=7860,
+        show_error=True       # Show detailed errors for debugging
+    )

requirements.txt

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+langchain~= 0.3.26
+langchain_groq~=0.3.6
+langchain-core~=0.3.69
+python-dotenv~=1.1.1
+gradio~=5.38.0