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8b6df94 f078f62 8b6df94 f078f62 8b6df94 f078f62 8b6df94 f078f62 8b6df94 f078f62 8b6df94 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 | import os
import requests
import tempfile
from smolagents import tool
from typing import Optional
from urllib.parse import urlparse
@tool
def extract_text_from_image(image_path: str) -> str:
"""
Extract text from an image using pytesseract (if available).
Args:
image_path: Path to the image file
Returns:
Extracted text or error message
"""
try:
# Try to import pytesseract
import pytesseract
from PIL import Image
# Open the image
image = Image.open(image_path)
# Extract text
text = pytesseract.image_to_string(image)
return f"Extracted text from image:\n\n{text}"
except ImportError:
return "Error: pytesseract is not installed. Please install it with 'pip install pytesseract' and ensure Tesseract OCR is installed on your system."
except Exception as e:
return f"Error extracting text from image: {str(e)}"
@tool
def save_and_read_file(content: str, filename: Optional[str] = None) -> str:
"""
Save content to a temporary file and return the path.
Useful for processing files from the GAIA API.
Args:
content: The content to save to the file
filename: Optional filename, will generate a random name if not provided
Returns:
Path to the saved file
"""
temp_dir = tempfile.gettempdir()
if filename is None:
temp_file = tempfile.NamedTemporaryFile(delete=False)
filepath = temp_file.name
else:
filepath = os.path.join(temp_dir, filename)
# Write content to the file
with open(filepath, "w") as f:
f.write(content)
return f"File saved to {filepath}. You can read this file to process its contents."
@tool
def download_file_from_url(url: str, filename: Optional[str] = None) -> str:
"""
Download a file from a URL and save it to a temporary location.
Args:
url: The URL to download from
filename: Optional filename, will generate one based on URL if not provided
Returns:
Path to the downloaded file
"""
try:
# Parse URL to get filename if not provided
if not filename:
path = urlparse(url).path
filename = os.path.basename(path)
if not filename:
# Generate a random name if we couldn't extract one
import uuid
filename = f"downloaded_{uuid.uuid4().hex[:8]}"
# Create temporary file
temp_dir = tempfile.gettempdir()
filepath = os.path.join(temp_dir, filename)
# Download the file
response = requests.get(url, stream=True)
response.raise_for_status()
# Save the file
with open(filepath, "wb") as f:
for chunk in response.iter_content(chunk_size=8192):
f.write(chunk)
return f"File downloaded to {filepath}. You can now process this file."
except Exception as e:
return f"Error downloading file: {str(e)}"
@tool
def analyze_csv_file(file_path: str, query: str) -> str:
"""
Analyze a CSV file using pandas and answer a question about it.
Args:
file_path: Path to the CSV file
query: Question about the data
Returns:
Analysis result or error message
"""
try:
import pandas as pd
# Read the CSV file
df = pd.read_csv(file_path)
# Run various analyses based on the query
result = f"CSV file loaded with {len(df)} rows and {len(df.columns)} columns.\n"
result += f"Columns: {', '.join(df.columns)}\n\n"
# Add summary statistics
result += "Summary statistics:\n"
result += str(df.describe())
return result
except ImportError:
return "Error: pandas is not installed. Please install it with 'pip install pandas'."
except Exception as e:
return f"Error analyzing CSV file: {str(e)}"
@tool
def analyze_excel_file(file_path: str, query: str) -> str:
"""
Analyze an Excel file using pandas and answer a question about it.
Args:
file_path: Path to the Excel file
query: Question about the data
Returns:
Analysis result or error message
"""
try:
import pandas as pd
# Read the Excel file
df = pd.read_excel(file_path)
# Run various analyses based on the query
result = f"Excel file loaded with {len(df)} rows and {len(df.columns)} columns.\n"
result += f"Columns: {', '.join(df.columns)}\n\n"
# Add summary statistics
result += "Summary statistics:\n"
result += str(df.describe())
return result
except ImportError:
return "Error: pandas and openpyxl are not installed. Please install them with 'pip install pandas openpyxl'."
except Exception as e:
return f"Error analyzing Excel file: {str(e)}"
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