Delete tools.py

tools.py

@@ -1,85 +0,0 @@
-import base64
-from openai import OpenAI
-from smolagents import tool
-import pandas as pd
-import os
-
-OPEN_AI_CLIENT = OpenAI()
-
-
-@tool
-def extract_data(filename: str) -> str:
-    """
-    Extracts data from an Excel file and returns it as a CSV-formatted string.
-    Args:
-        filename: The path to the Excel file to extract data from.
-    Returns:
-        str: The extracted data in CSV format or an error message.
-    Raises:
-        Exception: If there is an issue with reading the Excel file.
-    """
-    try:
-        df = pd.read_excel(filename)
-        return df.to_csv(index=False)
-    except Exception as e:
-        return f"Error extracting data from Excel: {str(e)}"
-
-
-@tool
-def transcribe_mp3(filename: str) -> str:
-    """
-    Transcribes speech from an MP3 file using the OpenAI Whisper API.
-    Args:
-        filename: The path to the MP3 file to transcribe.
-    Returns:
-        str: The transcribed text or an error message.
-    Raises:
-        Exception: If there is an issue with the transcription process.
-    """
-
-    try:
-        with open(filename, "rb") as audio_file:
-            transcript = OPEN_AI_CLIENT.audio.transcriptions.create(
-                model="whisper-1", file=audio_file
-            )
-        return transcript.text
-    except Exception as e:
-        return f"Error transcribing audio: {str(e)}"
-
-
-@tool
-def describe_image(prompt: str, filename: str) -> str:
-    """
-    Describes the content of an image using the OpenAI Vision API.
-    Args:
-        prompt: A prompt to guide the description.
-        filename: The path to the image file to describe.
-    Returns:
-        str: The description of the image or an error message.
-    Raises:
-        Exception: If there is an issue with the description process.
-    """
-
-    try:
-        with open(filename, "rb") as image_file:
-            base64_image = base64.b64encode(image_file.read()).decode("utf-8")
-
-        response = OPEN_AI_CLIENT.responses.create(
-            model="gpt-4.1",
-            input=[
-                {
-                    "role": "user",
-                    "content": [
-                        {"type": "input_text", "text": prompt},
-                        {
-                            "type": "input_image",
-                            "image_url": f"data:image/jpeg;base64,{base64_image}",
-                        },
-                    ],
-                }
-            ],
-        )
-        return response.output_text
-
-    except Exception as e:
-        return f"Error describing image: {str(e)}"