I have a dataset with 148 rows and 12 columns and want to generate text for each cell with the Gemini API. Now the error that occurs is 'google.api_core.exceptions.InternalServerError: 500 An internal error has occurred. Please retry or report in https://developers.generativeai.google/guide/troubleshooting' I activated my Account under the Google Cloud. Sometimes it generates the first few columns before the error occurs and sometimes it directly returns the error. Did anyone solve this for good?
def process_industries_and_subniches(): df = pd.read_excel('Niches.xlsx')
# Word-Dokument erstellen doc = Document() # Excel-Arbeitsmappe erstellen wb = Workbook() ws = wb.active ws['A1'] = "Industrie" ws['B1'] = "Sub-Industrie" ws['C1'] = "Text" row_counter = 2 last_industry = None # Durch den DataFrame iterieren for index, row in df.iterrows(): industry = row[df.columns[0]] for sub_niche in row[1:].dropna(): # Start von Spalte B, leere Zellen überspringen content = generate_gemini_output(industry, sub_niche) # Wenn es eine neue Industrie ist, dann mehr Platz lassen if industry != last_industry: heading = doc.add_heading(f"{industry}: {sub_niche}", level=1) heading.bold = True heading.style.font.size = Pt(16) # Einen leeren Absatz mit extra Platz hinzufügen paragraph = doc.add_paragraph("") paragraph.style.paragraph_format.space_before = Pt(48) # Den generierten Inhalt hinzufügen paragraph = doc.add_paragraph(content) paragraph.style.paragraph_format.space_before = Pt(24) # Letzte verarbeitete Industrie aktualisieren last_industry = industry # Excel-Formatierung if industry != last_industry: row_counter += 1 ws[f'A{row_counter}'] = industry ws[f'A{row_counter}'].font = Font(bold=True) ws[f'A{row_counter}'].alignment = Alignment(horizontal='center') ws[f'B{row_counter}'] = sub_niche ws[f'C{row_counter}'] = content row_counter += 1 time.sleep(2) print("Aktuell bei: " + industry + " und " + sub_niche) # Benennungslogik für die Datei temperature_str = str(generation_config["temperature"]).replace(".", "_") top_p_str = str(generation_config["top_p"]) filename = f"Formatted_Content_{temperature_str}_{top_p_str}" wb.save(f'{filename}.xlsx') doc.save(f'{filename}.docx')
I assume the exception is at the function generate_gemini_output().
Could you share the code for it? When you receive the 500, is it the same input every time that caused it or it's transient?
Are you calling the API to your own Cloud Project or someone else's?
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