Upload agent

agent.json

@@ -1,11 +1,13 @@
 {
     "class": "CodeAgent",
     "tools": [
+        "web_search",
         "final_answer"
     ],
     "model": {
         "class": "InferenceClientModel",
         "data": {
+            "model": "Qwen/Qwen2.5-Coder-32B-Instruct",
             "model_id": "Qwen/Qwen2.5-Coder-32B-Instruct"
         }
     },
@@ -33,6 +35,7 @@
     "name": null,
     "description": null,
     "requirements": [
+        "duckduckgo_search",
         "smolagents"
     ],
     "authorized_imports": [

app.py

@@ -5,14 +5,17 @@ from smolagents import GradioUI, CodeAgent, InferenceClientModel
 # Get current directory path
 CURRENT_DIR = os.path.dirname(os.path.abspath(__file__))
 
+from tools.web_search import DuckDuckGoSearchTool as WebSearch
 from tools.final_answer import FinalAnswerTool as FinalAnswer
 
 
 
 model = InferenceClientModel(
+model='Qwen/Qwen2.5-Coder-32B-Instruct',
 model_id='Qwen/Qwen2.5-Coder-32B-Instruct',
 )
 
+web_search = WebSearch()
 final_answer = FinalAnswer()
 
 
@@ -21,7 +24,7 @@ with open(os.path.join(CURRENT_DIR, "prompts.yaml"), 'r') as stream:
 
 agent = CodeAgent(
     model=model,
-    tools=[],
+    tools=[web_search],
     managed_agents=[],
     class='CodeAgent',
     max_steps=20,

requirements.txt

@@ -1 +1,2 @@
+duckduckgo_search
 smolagents

tools/web_search.py

@@ -0,0 +1,27 @@
+from typing import Any, Optional
+from smolagents.tools import Tool
+import duckduckgo_search
+
+class DuckDuckGoSearchTool(Tool):
+    name = "web_search"
+    description = "Performs a duckduckgo web search based on your query (think a Google search) then returns the top search results."
+    inputs = {'query': {'type': 'string', 'description': 'The search query to perform.'}}
+    output_type = "string"
+
+    def __init__(self, max_results=10, **kwargs):
+        super().__init__()
+        self.max_results = max_results
+        try:
+            from duckduckgo_search import DDGS
+        except ImportError as e:
+            raise ImportError(
+                "You must install package `duckduckgo_search` to run this tool: for instance run `pip install duckduckgo-search`."
+            ) from e
+        self.ddgs = DDGS(**kwargs)
+
+    def forward(self, query: str) -> str:
+        results = self.ddgs.text(query, max_results=self.max_results)
+        if len(results) == 0:
+            raise Exception("No results found! Try a less restrictive/shorter query.")
+        postprocessed_results = [f"[{result['title']}]({result['href']})\n{result['body']}" for result in results]
+        return "## Search Results\n\n" + "\n\n".join(postprocessed_results)