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Runtime error
| from google import genai | |
| from google.genai import types | |
| import gradio as gr | |
| import time | |
| import os | |
| api_key = os.getenv("GEMINI_API_KEY") | |
| client = genai.Client(api_key=api_key) | |
| grounding_tool = types.Tool( | |
| google_search=types.GoogleSearch() | |
| ) | |
| def nodexlSearch(prompt, history): | |
| """ | |
| Responds to questions about NodeXL. | |
| Args: | |
| prompt: A string representing the search query | |
| history: A placeholder representing query history | |
| Returns: | |
| Search results in natural language. | |
| """ | |
| # combined_prompt = f"Current information: \n\nQuestion: {prompt}" | |
| response = client.models.generate_content( | |
| model="gemini-2.5-flash", | |
| config=types.GenerateContentConfig( | |
| system_instruction=""" | |
| You are a very experienced and knowlegdeable NodeXL expert. Answer only questions about NodeXL. | |
| If a question is not about NodeXL, give the following response:'Sorry, I can only assist you with NodeXL questions.' | |
| """, | |
| tools=[grounding_tool]), | |
| contents=prompt | |
| ) | |
| # stream response | |
| for each in response.candidates[0].content.parts: | |
| for i in range(len(each.text)): | |
| time.sleep(0.001) | |
| yield each.text[: i+1] | |