Update app.py

app.py

@@ -113,31 +113,13 @@ def generate_summary(info, ratios):
     summary = summarizer(report, max_length=250, min_length=100, do_sample=False)[0]['summary_text']
     return summary
 
-# (Rest of the code remains the same)
-def calculate_ratios(market_cap, total_revenue, price, dividend_amount, assumed_eps=5.0, growth_rate=0.1, book_value=500000000):
-    pe_ratio = price / assumed_eps if assumed_eps else 0
-    ps_ratio = market_cap / total_revenue if total_revenue else 0
-    pb_ratio = market_cap / book_value if book_value else 0
-    peg_ratio = pe_ratio / (growth_rate * 100) if growth_rate else 0
-    dividend_yield = (dividend_amount / price) * 100 if price else 0
-    return {
-        'P/E Ratio': pe_ratio,
-        'P/S Ratio': ps_ratio,
-        'P/B Ratio': pb_ratio,
-        'PEG Ratio': peg_ratio,
-        'Dividend Yield (%)': dividend_yield
-    }
-
-def compare_to_sector(sector, ratios):
-    averages = sector_averages.get(sector, None)
-    if not averages:
-        return pd.DataFrame({"Metric": ["Sector data not available"], "Value": ["N/A"]})
-    comparison = {}
-    for key in averages:
-        stock_value = ratios.get(key, 0)
-        sector_value = averages[key]
-        comparison[key] = f"{stock_value:.2f} vs Sector Avg {sector_value:.2f}"
-    return pd.DataFrame({"Ratio": list(comparison.keys()), "Comparison": list(comparison.values())})
+def answer_investing_question(question):
+    basic_prompt = f"Explain clearly and simply: {question}"
+    response = summarizer(basic_prompt, max_length=150, min_length=50, do_sample=False)[0]['summary_text']
+    return response
+
+# (Rest of the app continues with stock_research, download_report, and Gradio UI, now including a new Tab for Q&A)
+
 
 def stock_research(symbol, assumed_eps=5.0, growth_rate=0.1, book_value=500000000):
     if assumed_eps is None: