Create app.py

app.py

@@ -0,0 +1,52 @@
+import gradio as gr
+from gradio import ChatMessage
+import time
+
+sleep_time = 0.5
+
+def simulate_thinking_chat(message, history):
+    start_time = time.time()
+    response = ChatMessage(
+        content="",
+        metadata={"title": "_Thinking_ step-by-step", "id": 0, "status": "pending"}
+    )
+    yield response
+
+    thoughts = [
+        "First, I need to understand the core aspects of the query...",
+        "Now, considering the broader context and implications...",
+        "Analyzing potential approaches to formulate a comprehensive answer...",
+        "Finally, structuring the response for clarity and completeness..."
+    ]
+
+    accumulated_thoughts = ""
+    for thought in thoughts:
+        time.sleep(sleep_time)
+        accumulated_thoughts += f"- {thought}\n\n"
+        response.content = accumulated_thoughts.strip()
+        yield response
+
+    response.metadata["status"] = "done"
+    response.metadata["duration"] = time.time() - start_time
+    yield response
+
+    time.sleep(5.0)
+    response = [
+        response,
+        ChatMessage(
+            content="Based on my thoughts and analysis above, my response is: This dummy repro shows how thoughts of a thinking LLM can be progressively shown before providing its final answer."
+        )
+    ]
+    yield response
+
+
+
+
+demo = gr.ChatInterface(
+    simulate_thinking_chat,
+    title="Thinking LLM Chat Interface 🤔",
+    type="messages",
+)
+
+if __name__ == "__main__":
+    demo.launch()