PDC / app.py
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Update app.py
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import streamlit as st
import requests
import pyttsx3
# Initialize TTS engine
engine = pyttsx3.init()
# Define Gemini API summarization function
def summarize_text(text):
api_key = "AIzaSyAUHjI-5L_s0RSs8sOKugDMY1_7cvVBhHw"
url = f"https://generativelanguage.googleapis.com/v1beta/models/gemini-1.5-flash-latest:generateContent?key={api_key}"
payload = {"contents": [{"parts": [{"text": text}]}]}
headers = {"Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
if response.status_code == 200:
return response.json().get("contents", [{}])[0].get("parts", [{}])[0].get("text", "")
return f"Error: {response.status_code} - {response.text}"
# TTS function
def read_aloud(text):
engine.say(text)
engine.runAndWait()
# Streamlit UI
st.set_page_config(page_title="VisionAid", layout="centered")
st.title("VisionAid")
# Text size slider
text_size = st.slider("Adjust Text Size", min_value=100, max_value=200, value=100)
st.markdown(f"<style>body {{font-size: {text_size}%;}}</style>", unsafe_allow_html=True)
# Theme options
dark_mode = st.checkbox("Enable Dark Mode")
if dark_mode:
st.markdown("<style>body {background-color: black; color: white;}</style>", unsafe_allow_html=True)
# Input text for summarization
text_input = st.text_area("Enter text to summarize:")
if st.button("Summarize"):
if text_input.strip():
with st.spinner("Summarizing..."):
summary = summarize_text(text_input)
st.success("Summary:")
st.write(summary)
if st.button("Read Summary Aloud"):
read_aloud(summary)
else:
st.error("Please enter some text!")
# Information
st.info("Adjust text size, enable dark mode, summarize text, and read it aloud.")