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import streamlit as st
from transformers import pipeline
from gtts import gTTS
import os
# Load a safe, instruction-tuned language model
@st.cache_resource(show_spinner="Loading language model...")
def load_llm():
return pipeline("text-generation",
model="mistralai/Mistral-7B-Instruct-v0.1",
tokenizer="mistralai/Mistral-7B-Instruct-v0.1",
max_new_tokens=100,
do_sample=True,
temperature=0.7)
llm = load_llm()
# Convert response to speech
def speak(text, filename="response.mp3"):
tts = gTTS(text)
tts.save(filename)
audio_file = open(filename, "rb")
audio_bytes = audio_file.read()
st.audio(audio_bytes, format="audio/mp3")
os.remove(filename)
# UI setup
st.set_page_config(page_title="AI Learning Buddy", page_icon="🧸")
st.title("🧸 AI Learning Buddy for Kids (Ages 4–7)")
st.markdown("Ask anything fun or educational — math, animals, colors, or stories!")
# Input field
user_input = st.text_input("Type your question:")
if st.button("Ask the Buddy") and user_input:
prompt = f"You are a kind, fun teacher for a 5-year-old child. Answer in a simple and cheerful tone.\n\nQuestion: {user_input}\nAnswer:"
result = llm(prompt)[0]["generated_text"]
answer = result.split("Answer:")[-1].strip()
# Output
st.markdown(f"**AI Buddy says:** {answer}")
speak(answer)
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