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| from crewai.flow.flow import Flow,listen,start | |
| import json | |
| import os | |
| from typing import List, Dict,Any | |
| from pydantic import BaseModel, Field | |
| from crewai.flow.flow import Flow, listen, start | |
| import pandas as pd | |
| from languageexport.crew import LanguagesExport | |
| class OutputFile(Flow): | |
| def get_data(self): | |
| path = input("Enter path to your Excel file (e.g., full_translations.xlsx): ").strip() | |
| if not os.path.exists(path): | |
| raise FileNotFoundError(f"File not found: {path}") | |
| df = pd.read_excel(path) | |
| print(f"Loaded {path} with shape {df.shape}") | |
| table = [df.columns.tolist()] + df.values.tolist() | |
| self.state['table'] = table | |
| return table | |
| def ask_filename(self, table: List[List[Any]]): | |
| filename = input("Enter desired output filename (with .xlsx extension): ").strip() | |
| if not filename.lower().endswith('.xlsx'): | |
| filename += '.xlsx' | |
| self.state['filename'] = filename | |
| return table | |
| def create_file(self, table: List[List[Any]]): | |
| filename = self.state['filename'] | |
| result = LanguagesExport().crew().kickoff(inputs={'data': table, 'filename': filename}) | |
| self.state['result'] = result | |
| print(f"Agent returned: {result}") | |
| if os.path.exists(filename): | |
| print(f"Output file created: {filename}") | |
| else: | |
| print(f"Expected output file not found: {filename}") | |
| return filename | |
| def show_file(self, filename: str): | |
| df = pd.read_excel(filename) | |
| print("β Translated content:") | |
| print(df) | |
| return df |