commit

.gitignore

@@ -0,0 +1 @@
+.env

app.py

@@ -2,10 +2,8 @@ import os
 import gradio as gr
 import requests
 import inspect
+from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, InferenceClientModel, PythonInterpreterTool
 import pandas as pd
-from smolagents import InferenceClientModel, CodeAgent, Tool, DuckDuckGoSearchTool, VisitWebpageTool, PythonInterpreterTool
-
-
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -15,25 +13,22 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-
         tools = [
             VisitWebpageTool(),
             DuckDuckGoSearchTool(),
-            # PythonInterpreterTool(),
-            # PythonInterpreterTool(),
+            PythonInterpreterTool(),
         ]
 
-        model = InferenceClientModel(
-            model="Qwen/Qwen2.5-Coder-32B-Instruct",
-        )
+        model = InferenceClientModel()
 
         self.agent = CodeAgent(
             model=model,
             tools=tools,
-            additional_authorizesd_imports=["requests", "json", "re", "math", "numpy", "pandas", "datetime", "time", "random", "os", "sys"],
-            planning_interval=4,
-            max_steps=15,
+            additional_authorized_imports=["requests", "json", "re", "math", "numpy", "pandas", "datetime", "time", "random", "os", "sys"],
+            planning_interval=5,
+            max_steps=8,
             verbosity_level=2,
+            add_base_tools=True,
         )
 
         print("BasicAgent initialized.")

app_local.py

@@ -0,0 +1,169 @@
+import os
+import requests
+import pandas as pd
+from smolagents import CodeAgent, DuckDuckGoSearchTool, VisitWebpageTool, LiteLLMModel, PythonInterpreterTool
+# from smolagents import InferenceClientModel, Tool, PythonInterpreterTool
+from huggingface_hub import HfApi, login
+
+
+
+# (Keep Constants as is)
+# --- Constants ---
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+
+# --- Basic Agent Definition ---
+# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+class BasicAgent:
+    def __init__(self):
+
+        tools = [
+            VisitWebpageTool(),
+            DuckDuckGoSearchTool(),
+            PythonInterpreterTool(),
+        ]
+
+        model = LiteLLMModel(
+            model_id="ollama_chat/qwen-coder:30b",
+            api_base="http://127.0.0.1:11434",
+        )
+
+        self.agent = CodeAgent(
+            model=model,
+            tools=tools,
+            additional_authorized_imports=["requests", "json", "re", "math", "numpy", "pandas", "datetime", "time", "random", "os", "sys"],
+            planning_interval=5,
+            max_steps=8,
+            verbosity_level=2,
+            add_base_tools=True,
+        )
+
+        print("BasicAgent initialized.")
+    def __call__(self, question: str) -> str:
+        print(f"Agent received question (first 50 chars): {question[:50]}...")
+        response = self.agent.run(question)
+        print(f"Agent returning response: {response}")
+        return response
+
+def run_and_submit_all():
+    """
+    Fetches all questions, runs the BasicAgent on them, submits all answers,
+    and displays the results.
+    """
+    # Step 1: Log in with your User Access Token
+    # (You can also run `huggingface-cli login` in your terminal instead of doing it in Python)
+    login(token=os.environ.get("HF_TOKEN"))
+
+    # Step 2: Initialize the API client and fetch user info
+    api = HfApi()
+    user_info = api.whoami()
+
+    # Step 3: Get the username
+    username = user_info["name"]
+    print(f"Logged in as: {username}")
+
+    api_url = DEFAULT_API_URL
+    questions_url = f"{api_url}/questions"
+    submit_url = f"{api_url}/submit"
+
+    agent_code = f"https://huggingface.co/spaces/{os.environ.get('HF_SPACE')}/tree/main"
+
+    # 1. Instantiate Agent ( modify this part to create your agent)
+    try:
+        agent = BasicAgent()
+    except Exception as e:
+        print(f"Error instantiating agent: {e}")
+        return f"Error initializing agent: {e}", None
+
+    # 2. Fetch Questions
+    print(f"Fetching questions from: {questions_url}")
+    try:
+        response = requests.get(questions_url, timeout=15)
+        response.raise_for_status()
+        questions_data = response.json()
+        if not questions_data:
+             print("Fetched questions list is empty.")
+             return "Fetched questions list is empty or invalid format.", None
+        print(f"Fetched {len(questions_data)} questions.")
+    except requests.exceptions.RequestException as e:
+        print(f"Error fetching questions: {e}")
+        return f"Error fetching questions: {e}", None
+    except requests.exceptions.JSONDecodeError as e:
+         print(f"Error decoding JSON response from questions endpoint: {e}")
+         print(f"Response text: {response.text[:500]}")
+         return f"Error decoding server response for questions: {e}", None
+    except Exception as e:
+        print(f"An unexpected error occurred fetching questions: {e}")
+        return f"An unexpected error occurred fetching questions: {e}", None
+
+    # 3. Run your Agent
+    results_log = []
+    answers_payload = []
+    print(f"Running agent on {len(questions_data)} questions...")
+    for item in questions_data:
+        task_id = item.get("task_id")
+        question_text = item.get("question")
+        if not task_id or question_text is None:
+            print(f"Skipping item with missing task_id or question: {item}")
+            continue
+        try:
+            submitted_answer = agent(question_text)
+            answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
+            results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
+        except Exception as e:
+             print(f"Error running agent on task {task_id}: {e}")
+             results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": f"AGENT ERROR: {e}"})
+
+    if not answers_payload:
+        print("Agent did not produce any answers to submit.")
+        return "Agent did not produce any answers to submit.", pd.DataFrame(results_log)
+
+    # 4. Prepare Submission 
+    submission_data = {"username": username.strip(), "agent_code": agent_code, "answers": answers_payload}
+    status_update = f"Agent finished. Submitting {len(answers_payload)} answers for user '{username}'..."
+    print(status_update)
+
+    # 5. Submit
+    print(f"Submitting {len(answers_payload)} answers to: {submit_url}")
+    try:
+        response = requests.post(submit_url, json=submission_data, timeout=60)
+        response.raise_for_status()
+        result_data = response.json()
+        final_status = (
+            f"Submission Successful!\n"
+            f"User: {result_data.get('username')}\n"
+            f"Overall Score: {result_data.get('score', 'N/A')}% "
+            f"({result_data.get('correct_count', '?')}/{result_data.get('total_attempted', '?')} correct)\n"
+            f"Message: {result_data.get('message', 'No message received.')}"
+        )
+        print("Submission successful.")
+        results_df = pd.DataFrame(results_log)
+        return final_status, results_df
+    except requests.exceptions.HTTPError as e:
+        error_detail = f"Server responded with status {e.response.status_code}."
+        try:
+            error_json = e.response.json()
+            error_detail += f" Detail: {error_json.get('detail', e.response.text)}"
+        except requests.exceptions.JSONDecodeError:
+            error_detail += f" Response: {e.response.text[:500]}"
+        status_message = f"Submission Failed: {error_detail}"
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+    except requests.exceptions.Timeout:
+        status_message = "Submission Failed: The request timed out."
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+    except requests.exceptions.RequestException as e:
+        status_message = f"Submission Failed: Network error - {e}"
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+    except Exception as e:
+        status_message = f"An unexpected error occurred during submission: {e}"
+        print(status_message)
+        results_df = pd.DataFrame(results_log)
+        return status_message, results_df
+
+if __name__ == "__main__":
+    run_and_submit_all()

requirements.txt

@@ -1,2 +0,0 @@
-gradio
-requests