app.py

import streamlit as st
import requests
import time

# Hugging Face API key from secrets
API_KEY = st.secrets["API_KEY"]
HEADERS = {"Authorization": f"Bearer {API_KEY}"}

API_URLS = {
    "Summarizer": "https://api-inference.huggingface.co/models/facebook/bart-large-cnn",
    "Sentiment": "https://api-inference.huggingface.co/models/finiteautomata/bertweet-base-sentiment-analysis"
}

def query(api_url, payload):
    try:
        res = requests.post(api_url, headers=HEADERS, json=payload, timeout=60)
        if res.status_code != 200:
            return {"error": f"HTTP {res.status_code}: {res.text}"}
        return res.json()
    except Exception as e:
        return {"error": str(e)}

st.set_page_config(page_title="NLP Toolkit", page_icon="🧠", layout="centered")
st.title("🧠 AI NLP Toolkit")
st.write("Summarization & Sentiment Analysis using Hugging Face APIs 🚀")

tab1, tab2 = st.tabs(["📄 Summarizer", "📝 Sentiment Analysis"])

with tab1:
    text = st.text_area("Enter text to summarize:", height=200)
    if st.button("Summarize"):
        if not text.strip():
            st.warning("⚠ Please enter some text.")
        else:
            with st.spinner("Generating summary..."):
                time.sleep(1)
                res = query(API_URLS["Summarizer"], {"inputs": text})
            if "error" in res:
                st.error(res["error"])
            else:
                st.success("✅ Summary Generated")
                st.write(res[0]['summary_text'])

with tab2:
    text = st.text_area("Enter text for sentiment analysis:", height=200, key="sent_text")
    if st.button("Analyze Sentiment"):
        if not text.strip():
            st.warning("⚠ Please enter some text.")
        else:
            with st.spinner("Analyzing sentiment..."):
                time.sleep(1)
                res = query(API_URLS["Sentiment"], {"inputs": text})
            if "error" in res:
                st.error(res["error"])
            else:
                st.success("✅ Sentiment Analysis Complete")
                for item in res[0]:
                    st.write(f"**{item['label']}** → {item['score']:.2f}")