gemini-2.0-flash-lite for CodeAgent

app.py

@@ -1,8 +1,83 @@
 import os
+from pathlib import Path
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
+from utils import process_file
+from typing import Optional, Union
+from dotenv import load_dotenv
+from smolagents import (CodeAgent, DuckDuckGoSearchTool, FinalAnswerTool,
+                        LiteLLMModel, PythonInterpreterTool,
+                        WikipediaSearchTool)
+from smolagents.tools import Tool
+from tabulate import tabulate
+
+
+# Load environment variables
+load_dotenv()
+
+# Initialize the model
+model = LiteLLMModel(
+    model_id=os.getenv("GEMINI_MODEL"), api_key=os.getenv("GEMINI_API_KEY")
+)
+
+
+class ExcelToTextTool(Tool):
+    """Render an Excel worksheet as a Markdown table."""
+
+    name = "excel_to_text"
+    description = (
+        "Read an Excel file and return a Markdown table of the requested sheet. "
+        "Accepts either the sheet name or a zero-based index (as a string)."
+    )
+
+    inputs = {
+        "excel_path": {
+            "type": "string",
+            "description": "Path to the Excel file (.xlsx or .xls).",
+        },
+        "sheet_name": {
+            "type": "string",
+            "description": (
+                "Worksheet name or zero-based index (as a string). "
+                "Optional; defaults to the first sheet."
+            ),
+            "nullable": True,
+        },
+    }
+
+    output_type = "string"
+
+    def forward(self, excel_path: str, sheet_name: Optional[str] = None) -> str:
+        """Load the Excel file and return the sheet as a Markdown table.
+        Args:
+            excel_path: Path to the Excel file.
+            sheet_name: Optional name or index of the sheet to read. If None, reads the first sheet.
+        Returns:
+            A Markdown table representing the Excel sheet, or an error message if the file is not found or cannot be read.
+        """
+
+        file_path = Path(excel_path).expanduser().resolve()
+        if not file_path.is_file():
+            return f"Error: Excel file not found at {file_path}"
+
+        try:
+            sheet: Union[str, int] = (
+                int(sheet_name)
+                if sheet_name and sheet_name.isdigit()
+                else sheet_name or 0
+            )
+
+            df = pd.read_excel(file_path, sheet_name=sheet)
+
+            if hasattr(df, "to_markdown"):
+                return df.to_markdown(index=False)
+
+            return tabulate(df, headers="keys", tablefmt="github", showindex=False)
+
+        except Exception as e:
+            return f"Error reading Excel file: {e}"
+
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -13,11 +88,28 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 class BasicAgent:
     def __init__(self):
         print("BasicAgent initialized.")
+        tools = [
+            DuckDuckGoSearchTool(),
+            WikipediaSearchTool(),
+            ExcelToTextTool(),
+            PythonInterpreterTool(),
+            FinalAnswerTool(),
+        ]
+
+        self.agent = CodeAgent(
+            model=model,
+            tools=tools,
+            add_base_tools=True,
+            additional_authorized_imports=["pandas", "numpy", "csv", "subprocess"],
+        )
+
     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
+        print(f"Agent received question='{question}...'")
+        # fixed_answer = "This is a default answer."
+        answer = self.agent.run(question)
+        print(f"Agent returning answer: {answer}")
+        return answer
+    
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """
@@ -76,6 +168,8 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
     for item in questions_data:
         task_id = item.get("task_id")
         question_text = item.get("question")
+        if item.get("file_name"):
+            question_text = process_file(item.get("file_name"), question_text)
         if not task_id or question_text is None:
             print(f"Skipping item with missing task_id or question: {item}")
             continue

utils.py

@@ -0,0 +1,51 @@
+from typing import Dict, List, Tuple
+import re
+import tempfile
+from pathlib import Path
+import pandas as pd
+import requests
+from pandas import DataFrame
+
+# --- Constants ---
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+QUESTIONS_URL = f"{DEFAULT_API_URL}/questions"
+SUBMIT_URL = f"{DEFAULT_API_URL}/submit"
+FILE_PATH = f"{DEFAULT_API_URL}/files/"
+
+
+def process_file(task_id: str, question_text: str) -> str:
+    """
+    Attempt to download a file associated with a task from the API.
+    - If the file exists (HTTP 200), it is saved to a temp directory and the local file path is returned.
+    - If no file is found (HTTP 404), returns None.
+    - For all other HTTP errors, the exception is propagated to the caller.
+    """
+    file_url = f"{FILE_PATH}{task_id}"
+
+    try:
+        response = requests.get(file_url, timeout=30)
+        response.raise_for_status()
+    except requests.exceptions.RequestException as exc:
+        print(f"Exception in download_file>> {str(exc)}")
+        return question_text # Unable to get the file
+
+    # Determine filename from 'Content-Disposition' header, fallback to task_id
+    content_disposition = response.headers.get("content-disposition", "")
+    filename = task_id
+    match = re.search(r'filename="([^"]+)"', content_disposition)
+    if match:
+        filename = match.group(1)
+
+    # Save file in a temp directory
+    temp_storage_dir = Path(tempfile.gettempdir()) / "gaia_cached_files"
+    temp_storage_dir.mkdir(parents=True, exist_ok=True)
+
+    file_path = temp_storage_dir / filename
+    file_path.write_bytes(response.content)
+    return (
+                f"{question_text}\n\n"
+                f"---\n"
+                f"A file was downloaded for this task and saved locally at:\n"
+                f"{str(file_path)}\n"
+                f"---\n\n"
+            )