Switch model backend by environment, add smolagents dependency

.gitignore

@@ -0,0 +1,2 @@
+__pycache__/
+questions.json

app.py

@@ -1,10 +1,13 @@
 import os
+from pyexpat import model
 import gradio as gr
 import requests
 import inspect
 import pandas as pd
 import spaces
+from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, LiteLLMModel, InferenceClientModel
 
+# for huggingface gpu run
 @spaces.GPU
 def _zerogpu_startup_check():
     return None
@@ -17,12 +20,22 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        if os.getenv("SPACE_ID"):
+            self.model = InferenceClientModel(
+                model_id="moonshotai/Kimi-K2.5",
+                token=os.getenv("HF_TOKEN"),
+)
+        else:
+            print("BasicAgent initialized.")
+            self.model = LiteLLMModel(model_id="ollama_chat/qwen3:4b", api_base="http://127.0.0.1:11434", num_ctx=8192)
+
+        self.agent = CodeAgent(tools=[DuckDuckGoSearchTool()], model=self.model)
+
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        answer = str(self.agent.run(question))
+        print(f"Agent returning fixed answer: {answer}")
+        return answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """

requirements.txt

@@ -1,3 +1,4 @@
 gradio
 requests
 spaces
+smolagents==1.26.0

runner.py

@@ -0,0 +1,40 @@
+import json
+import requests
+from pathlib import Path
+
+# API = "https://agents-course-unit4-scoring.hf.space"
+
+# questions = requests.get(f"{API}/questions").json()
+
+# print(len(questions))
+# print(questions[0])
+
+
+API = "https://agents-course-unit4-scoring.hf.space"
+CACHE = Path(__file__).parent / "questions.json"
+
+
+def load_questions():
+    if CACHE.exists():
+        return json.loads(CACHE.read_text())
+
+    questions = requests.get(f"{API}/questions").json()
+    CACHE.write_text(json.dumps(questions, indent=2, ensure_ascii=False))
+    return questions
+
+
+if __name__ == "__main__":
+    qs = load_questions()
+    print(f" {len(qs)} questions fetched from {API}/questions")
+    for q in qs:
+        mark = "📎" if q["file_name"] else "  "
+        print(f'{mark} {q["task_id"][:8]}  {q["question"][:70]}')
+
+    from app import BasicAgent
+
+    qs = load_questions()
+    q = qs[2]                        
+    print("Q:", q["question"])
+
+    agent = BasicAgent()
+    print("A:", agent(q["question"]))