Create nodexl.py

nodexl.py

@@ -0,0 +1,48 @@
+from google import genai
+from google.colab import userdata
+from google.genai import types
+from dotenv import load_env
+import gradio as gr
+import time
+import os
+
+load_env()
+
+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]