main code file

app.py

@@ -0,0 +1,58 @@
+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}")