Update app.py

app.py

@@ -25,9 +25,13 @@ sector_averages = {
 # Helper Functions
 def get_company_info(symbol):
     api_key = os.getenv("POLYGON_API_KEY")
+    print(f"DEBUG: Using API Key: {api_key}")
     url = f"https://api.polygon.io/v3/reference/tickers/{symbol}?apiKey={api_key}"
+    print(f"DEBUG: Fetching company info from URL: {url}")
     try:
         response = requests.get(url)
+        print(f"DEBUG: Company Info Status Code: {response.status_code}")
+        print(f"DEBUG: Company Info Response: {response.text}")
         response.raise_for_status()
         data = response.json()['results']
         return {
@@ -43,8 +47,11 @@ def get_company_info(symbol):
 
 def get_current_price(symbol):
     url = f"https://api.polygon.io/v2/aggs/ticker/{symbol}/prev?adjusted=true&apiKey={POLYGON_API_KEY}"
+    print(f"DEBUG: Fetching current price from URL: {url}")
     try:
         response = requests.get(url)
+        print(f"DEBUG: Current Price Status Code: {response.status_code}")
+        print(f"DEBUG: Current Price Response: {response.text}")
         response.raise_for_status()
         data = response.json()['results'][0]
         return float(data['c'])
@@ -72,6 +79,8 @@ def get_historical_prices(symbol):
     url = f"https://api.polygon.io/v2/aggs/ticker/{symbol}/range/1/day/{start}/{end}?adjusted=true&sort=asc&apiKey={POLYGON_API_KEY}"
     try:
         response = requests.get(url)
+        print(f"DEBUG: Historical Prices Status Code: {response.status_code}")
+        print(f"DEBUG: Historical Prices Response: {response.text}")
         response.raise_for_status()
         results = response.json()['results']
         dates = [datetime.datetime.fromtimestamp(r['t']/1000) for r in results]
@@ -99,7 +108,6 @@ 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)
@@ -108,11 +116,13 @@ def compare_to_sector(sector, ratios):
     return pd.DataFrame({"Ratio": list(comparison.keys()), "Comparison": list(comparison.values())})
 
 def generate_summary(info, ratios):
-    text = (f"{info['Name']} operates in the {info['Industry']} sector. It has a market capitalization of "
-            f"${info['Market Cap']:,.2f}. The company exhibits a P/E ratio of {ratios['P/E Ratio']:.2f}, "
-            f"P/S ratio of {ratios['P/S Ratio']:.2f}, and P/B ratio of {ratios['P/B Ratio']:.2f}. "
-            f"Its dividend yield is {ratios['Dividend Yield (%)']:.2f}%. "
-            f"This suggests a {'potential undervaluation' if ratios['P/E Ratio'] < 20 else 'higher valuation'} relative to the market.")
+    text = (
+        f"{info['Name']} operates in the {info['Industry']} sector. It has a market capitalization of "
+        f"${info['Market Cap']:,.2f}. The company exhibits a P/E ratio of {ratios['P/E Ratio']:.2f}, "
+        f"P/S ratio of {ratios['P/S Ratio']:.2f}, and P/B ratio of {ratios['P/B Ratio']:.2f}. "
+        f"Its dividend yield is {ratios['Dividend Yield (%)']:.2f}%. "
+        f"This suggests a {'potential undervaluation' if ratios['P/E Ratio'] < 20 else 'higher valuation'} relative to the market."
+    )
     summary = summarizer(text, max_length=120, min_length=30, do_sample=False)[0]['summary_text']
     return summary
 
@@ -161,6 +171,7 @@ def download_report(info_table, ratios_table, sector_comp, summary):
         file_path = f.name
     return file_path
 
+# Gradio UI
 with gr.Blocks() as iface:
     with gr.Row():
         symbol = gr.Textbox(label="Stock Symbol (e.g., AAPL)", info="Ticker symbol of the company to analyze.")
@@ -198,3 +209,4 @@ with gr.Blocks() as iface:
 
 if __name__ == "__main__":
     iface.launch()
+