Initial commit

app.py

+import streamlit as st
+import yfinance as yf
+from datetime import date
+from transformers import pipeline
+
+
+@st.cache_resource
+def get_summarizer():
+    return pipeline("summarization", model="facebook/bart-large-cnn")
+
+summarizer = get_summarizer()
+
+
+
+st.set_page_config(page_title="Stock Dashboard & Summarizer", layout="wide")
+st.title(" Stock Price Dashboard &  Text Summarizer")
+
+tab1, tab2 = st.tabs([" Stock Visualization", " Stock Text Summarization"])
+
+
+with tab1:
+    st.header("Stock Price Dashboard")
+    ticker = st.text_input("Enter Stock Ticker Symbol (e.g., AAPL, MSFT)", "AAPL")
+
+    col1, col2 = st.columns(2)
+    with col1:
+        start_date = st.date_input("Start Date", date(2022, 1, 1))
+    with col2:
+        end_date = st.date_input("End Date", date.today())
+
+    if st.button("Fetch Stock Data"):
+        data = yf.download(ticker, start=start_date, end=end_date)
+        if data.empty:
+            st.error("No data found. Please check the ticker symbol.")
+        else:
+            st.subheader(f"Stock Data for {ticker.upper()}")
+            st.line_chart(data['Close'], use_container_width=True)
+            st.area_chart(data['Volume'], use_container_width=True)
+
+with tab2:
+    st.header("Summarize Stock-Related Text")
+    input_text = st.text_area("Paste a stock news article or report below:", height=300)
+
+    if st.button("Summarize"):
+        if len(input_text.strip()) < 100:
+            st.warning("Please provide a longer text (at least 100 characters).")
+        else:
+            with st.spinner("Summarizing..."):
+                summary = summarizer(input_text, max_length=130, min_length=30, do_sample=False)
+                st.success("Summary Generated:")
+                st.write(summary[0]['summary_text'])