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SBDeploy/Study_Assistant

sourceHugging Faceupdated 10mo agoView on Hugging Face
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app.py41 linesDownload Raw Back to root
1import gradio as gr2from google import genai3from google.genai import types4import os5 6client = genai.Client(api_key=os.getenv('GOOGLE_API_KEY'))7 8personalities = {9    "Friendly": "You are a warm, encouraging study buddy who explains things with kindness and humor. Keep it simple.",10    "Blunt": "You are a no-nonsense tutor who is direct, efficient, and expects focus.",11    "Academic": "You are a precise assistant who is structured and avoids fluff."12}13 14def study_assistant(question, persona):15    system_prompt = personalities[persona]16 17    full_prompt = f"""18    Act with the following personality: {system_prompt}19    Answer the student's question clearly:20    {question}21    """22 23    response = client.models.generate_content(24        model="gemini-2.0-flash",25        contents=full_prompt26        )27    return response.text28 29demo = gr.Interface(30    fn=study_assistant,31    inputs=[32        gr.Textbox(lines=4, placeholder="Ask a question...", label="Question"),33        gr.Radio(choices=list(personalities.keys()), value="Friendly", label="Personality")34    ],35    outputs=gr.Textbox(lines=10, label="Response"),36    title="Study Assistant",37    description="Ask a question and get an answer from your AI study assistant with a chosen personality."38)39 40demo.launch(debug=True)41