Add application file

app.py

@@ -0,0 +1,32 @@
+import gradio as gr
+
+from app.deps import get_chain
+
+def chat_fn(message, history):
+    """
+    history comes as: [(user_msg, bot_msg), ...]
+    We'll convert it to your chain's expected format:
+    [{"role":"user","content":...}, {"role":"assistant","content":...}, ...]
+    """
+    history_dicts = []
+    for u, a in history:
+        if u:
+            history_dicts.append({"role": "user", "content": u})
+        if a:
+            history_dicts.append({"role": "assistant", "content": a})
+
+    chain = get_chain(conversation_history=history_dicts)
+
+    # Your chain.invoke is sync
+    result = chain.invoke(message)
+    answer = result.get("answer", "") if isinstance(result, dict) else str(result)
+    return answer
+
+demo = gr.ChatInterface(
+    fn=chat_fn,
+    title="Legal RAG Chatbot",
+    description="Ask questions and get answers with retrieved context."
+)
+
+if __name__ == "__main__":
+    demo.launch()