initial commit

app.py

@@ -0,0 +1,40 @@
+from google import genai
+from google.colab import userdata
+from google.genai import types
+import gradio as gr
+
+
+
+client = genai.Client(api_key=userdata.get("GOOGLE_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=600
+        ),
+        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="Personality")],
+    outputs= gr.Textbox(label="Explaination", lines=10),
+    title="Study Assistant",
+    description="Ask a question to get simple explaination from AI along with analogies and real world examples"
+)
+
+demo.launch(debug=True)

requirements.txt

@@ -0,0 +1,2 @@
+google-genai
+gradio