initial commit

app.py

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+import os
+from google import genai
+import gradio as gr
+
+client= genai.Client(api_key=os.getenv('GEMINI_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 assist(user_prompt,persona):
+  system_prompt = personalities[persona]
+  res=client.models.generate_content(
+       model="gemini-2.5-flash",
+       config=types.GenerateContentConfig(
+           system_instruction=system_prompt,temperature=0.5,max_output_tokens=600
+       ),
+       contents=user_prompt
+  )
+  return res.text
+
+demo = gr.Interface(
+    fn=assist,
+    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