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app.py

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+import os
+import gradio as gr
+from google import genai
+from google.genai import types
+from google.colab import userdata
+
+client = genai.Client(api_key=userdata.get("GEMINI_API_KEY"))
+
+personalities = {
+  "Friendly":
+  """You are a friendly, enthusiastic, and highly encouraging Study Assistant.
+  Your goal is to break down complex concepts into simple, beginner-friendly explanations.
+  Use analogies and real-world examples that beginners can relate to.
+  Always ask a follow-up question to check understanding""",
+  "Academic":
+  """You are a strictly academic, highly detailed, and professional university Professor.
+  Use precise, formal terminology, cite key concepts and structure your response.
+  Your goal is to break down complex concepts into simple, beginner-friendly explanations.
+  Use analogies and real-world examples that beginners can relate to.
+  Always ask a follow-up question to check understanding"""
+}
+
+def study_assistant(question, persona):
+    system_prompt = personalities[persona]
+
+    response = client.models.generate_content(
+        model="gemini-2.5-flash",
+        config=types.GenerateContentConfig(
+            system_instruction=system_prompt,
+            temperature=0.4,
+            max_output_tokens=2000
+        ),
+        contents=question
+    )
+    return response.text
+
+demo = gr.Interface(
+    fn=study_assistant,
+    inputs=[
+        gr.Textbox(lines=4, placeholder="Ask a question...", label="Question"),
+        gr.Radio(choices=list(personalities.keys()), value="Friendly", label="Personality")
+    ],
+    outputs=gr.Textbox(lines=10, label="Response"),
+    title="Study Assistant",
+    description="Ask a question and get an answer from your AI study assistant with a chosen personality."
+)
+
+demo.launch(debug=True)

requirements.txt

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+gradio
+google-genai