Create app.py

app.py

@@ -0,0 +1,58 @@
+import gradio as gr
+import os
+from utils.chatbot_logic import create_chatbot_chain
+
+# Initialize the chatbot chain
+chatbot_chain = create_chatbot_chain()
+
+def chat_interface(message, history):
+    """
+    Process user message and return chatbot response
+    """
+    try:
+        response = chatbot_chain.invoke({"input": message})
+        return response["output"]
+    except Exception as e:
+        return f"Error: {str(e)}"
+
+# Create Gradio Chat Interface
+with gr.Blocks(theme=gr.themes.Soft()) as demo:
+    gr.Markdown(
+        """
+        # 🤖 LangChain Runnables Chatbot
+        
+        A modular chatbot built using **LangChain Runnables** with multiple response strategies.
+        
+        **Features:**
+        - Fact retrieval
+        - Joke generation
+        - Conversational memory
+        - Modular and extensible design
+        """
+    )
+    
+    chatbot = gr.Chatbot(
+        label="Chat History",
+        height=400,
+        type="messages"
+    )
+    
+    msg = gr.Textbox(
+        label="Your Message",
+        placeholder="Ask me anything...",
+        lines=2
+    )
+    
+    clear = gr.Button("Clear Chat")
+    
+    def respond(message, chat_history):
+        bot_message = chat_interface(message, chat_history)
+        chat_history.append({"role": "user", "content": message})
+        chat_history.append({"role": "assistant", "content": bot_message})
+        return "", chat_history
+    
+    msg.submit(respond, [msg, chatbot], [msg, chatbot])
+    clear.click(lambda: None, None, chatbot, queue=False)
+
+if __name__ == "__main__":
+    demo.launch()