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app.py

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+
+import gradio as gr
+import os
+from google import genai
+from google.genai import types
+
+client = genai.Client(api_key=os.getenv('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", contents=question,
+      config = types.GenerateContentConfig(systemInstruction=system_prompt)
+  )
+  return response.text
+
+demo = gr.Interface(fn = study_assistant,
+             inputs = [gr.Textbox(label = "Question", lines = 4, placeholder="Ask a Qustion"),
+                       gr.Radio(choices = list(personalities.keys()), label = "Persona", value="Friendly")],
+             outputs = gr.Textbox(label = "Answer or Explaination", lines = 10),
+             title = "Study Assistant",
+             description= " Ask a question to get simple explaination.")  
+
+demo.launch(debug = True)

requirements.txt

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+gradio
+google-genai