initial commit

app.py

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+import os
+from google import genai
+from google.genai import types
+import gradio as gr
+
+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.The respose should be elaborate as well as concise.Strike a judicious balance. 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(label="Question",lines=4,placeholder="Ask a question..."),
+            gr.Dropdown(choices=list(personalities.keys()),value="Friendly",label="personalities")],
+    outputs=[gr.Textbox(label="response",lines=10)],
+    title="UR Study Assistant",
+    description= "Ask a question to get simple explanation from AI along with analogies and real world examples"
+)
+demo.launch(debug=True)

requirements.txt

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+google-genai
+gradio