Add the example desc

app.py

@@ -54,18 +54,45 @@ def query(question):
 if __name__ == "__main__":
     block = gr.Blocks()
     with block as demo:
-        gr.Markdown("<h1><center>Langchain And Zilliz Cloud Demo</center></h1>")
+        gr.Markdown(
+            """
+        <h1><center>Langchain And Zilliz Cloud Example</center></h1>
+        This is how to use Zilliz Cloud as vector store in LangChain. 
+        The purpose of this example is to allow you to input multiple URLs (separated by newlines) and then ask questions about the content of the corresponding web pages.
+        
+        ## 📋 Prerequisite:
+
+        1. 🔑 To obtain an OpenAI key, please visit https://platform.openai.com/account/api-keys.
+        2. 💻 Create a Zilliz Cloud account to get free credits for usage by visiting https://cloud.zilliz.com.
+        3. 🗄️ Create a database in Zilliz Cloud.
+        
+        ## 📝 Steps for usage:
+
+        1. 🖋️ Fill in the url list input box with multiple URLs.
+        2. 🔑 Fill in the OpenAI API key in the openai api key input box.
+        3. 🌩️ Fill in the Zilliz Cloud connection parameters, including the connection URL, corresponding username, and password.
+        4. 🚀 Click the Load Data button to load the data. When the load status text box prompts that the data has been successfully loaded, proceed to the next step.
+        5. ❓ In the question input box, enter the relevant question about the web page.
+        6. 🔍 Click the Generate button to search for the answer to the question. The final answer will be displayed in the question answer text box.
+        """
+        )
         url_list_text = gr.Textbox(
-            label="Url list",
+            label="url list",
             lines=3,
+            placeholder="https://milvus.io/docs/overview.md",
         )
-        openai_key_text = gr.Textbox(label="openai api key")
+        openai_key_text = gr.Textbox(label="openai api key", placeholder="sk-******")
         with gr.Row():
-            zilliz_uri_text = gr.Textbox(label="zilliz cloud uri")
-            user_text = gr.Textbox(label="user")
-            password_text = gr.Textbox(label="password", type="password")
-        loader_output = gr.Textbox(label="Load Status")
-        loader_btn = gr.Button("WebLoader")
+            zilliz_uri_text = gr.Textbox(
+                label="zilliz cloud uri",
+                placeholder="https://<instance-id>.<cloud-region-id>.vectordb.zillizcloud.com:<port>",
+            )
+            user_text = gr.Textbox(label="username", placeholder="db_admin")
+            password_text = gr.Textbox(
+                label="password", type="password", placeholder="******"
+            )
+        loader_output = gr.Textbox(label="load status")
+        loader_btn = gr.Button("Load Data")
         loader_btn.click(
             fn=web_loader,
             inputs=[
@@ -82,6 +109,7 @@ if __name__ == "__main__":
         question_text = gr.Textbox(
             label="question",
             lines=3,
+            placeholder="What is milvus?",
         )
         query_output = gr.Textbox(label="question answer", lines=3)
         query_btn = gr.Button("Generate")