Assignment 3 completed

streamlit_stock_app/app.py

+import streamlit as st
+import yfinance as yf
+import pandas as pd
+from sumy.parsers.plaintext import PlaintextParser
+from sumy.nlp.tokenizers import Tokenizer
+from sumy.summarizers.lsa import LsaSummarizer
+
+# --------------------------------
+# Page configuration
+# --------------------------------
+st.set_page_config(page_title="Stock Dashboard & Summarizer", layout="wide")
+
+# --------------------------------
+# App Title and Description
+# --------------------------------
+st.title("📈 Stock Price Dashboard & 📝 Summarizer")
+st.markdown("""
+Welcome to the **Stock Analysis App** built with Streamlit.
+- Search and visualize **stock price trends**
+- Paste stock-related news or description for **automatic summarization**
+""")
+
+# --------------------------------
+# User Input Section
+# --------------------------------
+st.sidebar.header("User Input")
+stock_symbol = st.sidebar.text_input("Enter Stock Symbol (e.g., AAPL, MSFT)", value="AAPL")
+days = st.sidebar.slider("Select number of past days", min_value=5, max_value=365, value=30)
+
+# --------------------------------
+# Function to fetch stock data
+# --------------------------------
+@st.cache_data
+def fetch_stock_data(symbol, days):
+    return yf.download(symbol, period=f"{days}d")
+
+# --------------------------------
+# Display stock chart
+# --------------------------------
+st.subheader(f"📊 Stock Price Chart for {stock_symbol}")
+if st.sidebar.button("Load Stock Data"):
+    try:
+        stock_data = fetch_stock_data(stock_symbol, days)
+        if not stock_data.empty:
+            st.line_chart(stock_data['Close'])
+            st.metric("Latest Close Price", f"${stock_data['Close'].iloc[-1]:.2f}")
+        else:
+            st.warning("No data found for this symbol.")
+    except Exception as e:
+        st.error(f"Error fetching data: {e}")
+
+# --------------------------------
+# Text Summarization Section
+# --------------------------------
+st.markdown("---")
+st.subheader("📝 Stock News or Description Summarizer")
+text_input = st.text_area("Paste any stock-related text here to summarize")
+
+# Function to summarize text
+def summarize_text(text, sentence_count=2):
+    parser = PlaintextParser.from_string(text, Tokenizer("english"))
+    summarizer = LsaSummarizer()
+    summary = summarizer(parser.document, sentence_count)
+    return " ".join(str(sentence) for sentence in summary)
+
+# Button to trigger summarization
+if st.button("Generate Summary"):
+    if text_input.strip():
+        summary = summarize_text(text_input)
+        st.success("**Summary:**")
+        st.write(summary)
+    else:
+        st.warning("Please enter some text first.")
+
+# --------------------------------
+# Footer
+# --------------------------------
+st.markdown("---")
+st.markdown("Built with [Streamlit](https://streamlit.io/) | By Mitul Lakkad")
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streamlit_stock_app/requirements.txt

+streamlit
+yfinance
+sumy
+pandas
+numpy
+nltk
+scikit-learn
+matplotlib
+seaborn
+plotly
+requests
+beautifulsoup4
+lxml
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