Update app.py

app.py

@@ -386,19 +386,19 @@ elif activities=="News Sentiment":
     # st.write(docs)
     st.divider()
 
-    llm_prompt_template = """You are an expert Stock Market Trader specializing in stock market insights derived from fundamental analysis, analytical trends, profit-based evaluations, news indicators from different sites and detailed company financials. You will receive one or more news articles from TradingView’s India stock news feed. For each article, perform the following tasks:
+    llm_prompt_template = """You are an expert Stock Market Trader specializing in stock market insights derived from fundamental analysis, analytical trends, profit-based evaluations, news indicators from different sites and detailed company financials. 
+    You will receive stock market news articles or stocks in news from various news websites which have India stock news feed. For the below context/input_documents, perform the following tasks:
 
     Context:
     {input_documents}
 
-    
-    1. **Identify the stock(s)** mentioned (by ticker and company name).
-    2. **Sentiment analysis**: classify as Bullish, Bearish, or Neutral.
-    3. **Extract critical news**: What is the main event or update? (e.g., earnings beat, regulatory approval, management change, major contract or macro impact).
-    4. **Summarize impact**: Briefly explain how this news might affect stock price and investor behavior (e.g., “could boost investor confidence”, “sign indicates profit pressure”, etc.).
-    5. **Actionable signal**: Based on the sentiment and news, suggest whether this is a “Buy”, “Sell”, “Hold”, or “Watch” recommendation, and the rationale.
-    6. **Overall top picks**: After analyzing all provided articles, rank the top 3–5 stocks to look at this week, including tickers, current sentiment, and why they made the list.
-    
+    1. **Top picks**: After analyzing all provided data, rank the top 5-10 stocks to look at this week, including tickers, current sentiment, and why they made the list.
+    2. **Identify the stock(s)** mentioned (by ticker and company name).
+    3. **Sentiment analysis**: classify as Bullish, Bearish, or Neutral.
+    4. **Extract critical news**: What is the main event or update? (e.g., earnings beat, regulatory approval, management change, major contract or macro impact).
+    5. **Summarize impact**: Briefly explain how this news might affect stock price and investor behavior (e.g., “could boost investor confidence”, “sign indicates profit pressure”, etc.).
+    6. **Actionable signal**: Based on the sentiment and news, suggest whether this is a “Buy”, “Sell”, “Hold”, or “Watch” recommendation, and the rationale.
+
     ***Format your output as JSON*** with the following structure:
     
     ```json
@@ -440,8 +440,6 @@ elif activities=="News Sentiment":
     parsed_data = json.loads(raw_text)
     top_picks = parsed_data.get("top_picks", [])
     
-    st.set_page_config(page_title="Stock Insights", layout="wide")
-    st.title("📊 Weekly Stock Insights from News")
     
     # Layout
     for stock in top_picks:
@@ -461,7 +459,6 @@ elif activities=="News Sentiment":
             st.markdown(f"**🚦 Action:** `{stock['action']}`")
     
     st.divider()
-    st.caption("Data analyzed using LLM from TradingView India news feed.")