Update app.py

app.py

@@ -69,7 +69,7 @@ class HuggingFaceSpaceSearcherTool(Tool):
         "top_k": {
             "type": "integer",
             "description": "The number of top results to return (default is 3).",
-            "optional": True # Marking as optional; the forward method has a default.
+            "nullable": True # Changed from "optional" to "nullable"
         }
     }
     output_type = "string" # Optional: define output type
@@ -82,8 +82,8 @@ class HuggingFaceSpaceSearcherTool(Tool):
         Provides repo_id, description, likes, and last modified date for each space found.
         """
         try:
-            # top_k will be provided by the Tool base class mechanism, potentially from kwargs if optional
-            # or directly if the agent passes it. The default in the signature is a fallback.
+            # top_k will be provided by the Tool base class mechanism.
+            # If "nullable": True and it's not provided by the agent, it might be None.
             actual_top_k = top_k if top_k is not None else 3 # Ensure top_k has a value
             print(f"Searching spaces with query: {query}, top_k: {actual_top_k}")
             spaces_found = list(list_spaces(search=query, full=True, limit=actual_top_k, sort="likes", direction=-1))
@@ -164,7 +164,7 @@ AGENT_INSTRUCTIONS = """You are a highly capable AI assistant. Your primary goal
 Follow these steps:
 1.  **Understand the Request:** Carefully analyze the user's prompt (which will follow these instructions). Identify the core task and any specific requirements or inputs.
 2.  **Check Predefined Tools:** Review your list of available tools. If a predefined tool can directly address the request, use it.
-    * For the 'huggingface_space_searcher' tool, you MUST provide its arguments as a dictionary. For example: `huggingface_space_searcher(arguments={"query": "your search term", "top_k": 3})`. The `query` is mandatory. `top_k` is optional and defaults to 3 if not provided.
+    * For the 'huggingface_space_searcher' tool, you MUST provide its arguments as a dictionary. For example: `huggingface_space_searcher(arguments={"query": "your search term", "top_k": 3})`. The `query` is mandatory. `top_k` is optional (defaults to 3 if not provided in the dictionary or if the key is absent).
 3.  **Search for Spaces (If Needed):** If no predefined tool is suitable, use the `huggingface_space_searcher` tool as described above.
 4.  **Select and Instantiate a Space Tool:** From the search results, choose the most promising Space. Attempt to create a tool from it using `Tool.from_space(repo_id='SELECTED_SPACE_ID', name='a_unique_tool_name')`. You might need to give it a unique name. If `Tool.from_space` fails, the Space might not be compatible, or you could try another one from the search results.
 5.  **Execute the Tool:** Call the tool (either predefined or dynamically created) with the necessary arguments.
@@ -284,4 +284,4 @@ with gr.Blocks(theme=gr.themes.Soft()) as app:
     )
 
 if __name__ == "__main__":
-    app.launch(debug=True)
+    app.launch(debug=True)