Update app.py

app.py

@@ -67,7 +67,7 @@ def get_google_news_documents(query: str, max_articles: int = 10, timeout: int =
     Returns:
         List[Document]: Parsed article content as LangChain Document objects.
     """
-    st.caption(f"Fetching articles for query: '{query}'")
+    st.sidebar.caption(f"Fetching articles for query: '{query}'")
     
     googlenews = GoogleNews(lang="en")
     # Set time range to last `days` days
@@ -138,6 +138,95 @@ if activities == "Symbol Analysis":
     
             
     if ticker_user!="":
+
+
+        # st.sidebar.subheader('Prompt')
+        # user_prompt = st.sidebar.text_area("Enter Prompt",llm_prompt_template)
+        #https://huggingface.co/spaces/pradeepodela/Stock-Analyser/blob/main/app.py
+        interval = Interval.INTERVAL_1_DAY
+        analysis_summary = get_tradingview_analysis(
+                symbol=ticker_user,
+                exchange="NSE",
+                screener="india",
+                interval=interval,
+            )
+    
+        # st.title("Analysis Summary")
+        # st.dataframe(analysis_summary.summary)
+        # query = f"{ticker_user} stock"
+    
+        details = {
+            "symbol": ticker_user,
+            "exchange": "NSE",
+            "screener": "india",
+            "interval": interval,
+        }
+        # st.title("Details")
+        # st.dataframe(details)
+    
+        # st.title("Oscillator Analysis")
+        # st.dataframe(analysis_summary.oscillators)
+    
+        # st.title("Moving Averages")
+        # st.dataframe(analysis_summary.moving_averages)
+    
+        # st.title("Summary")
+        # st.dataframe(analysis_summary.summary)
+    
+        # st.title("Indicators")
+        # st.dataframe(analysis_summary.indicators)
+    
+        # Page Title
+        st.subheader(f"📊 Stock Analysis: :red[{ticker_user} : {interval}] ({details['exchange']})")
+        
+        # --- Row 1: Details + Summary ---
+        # col1, col2 = st.columns([1, 3])
+        # with col1:
+            # st.write(analysis_summary.summary)
+        summary= analysis_summary.summary
+        BUY_PER = (summary['BUY']/(summary['BUY'] + summary['SELL']+ summary['NEUTRAL']))*100
+        st.markdown(f"##### RECOMMENDATION : :red[{summary['RECOMMENDATION']}]  |  BUY CONFIDENCE %: :red[{round(BUY_PER,2)}]")
+        
+        # --- Row 2: Oscillators + Moving Averages ---
+        # col3, col4 = st.columns(2)
+        # with col3:
+        #     st.subheader("⚙️ Oscillator Analysis")
+        #     st.dataframe(analysis_summary.oscillators, use_container_width=True)
+        
+        # with col4:
+        #     st.subheader("📈 Moving Averages")
+        #     st.dataframe(analysis_summary.moving_averages, use_container_width=True)
+        
+        # # --- Row 3: Indicators ---
+        # st.subheader("🔍 Indicators")
+        # st.dataframe(analysis_summary.indicators, use_container_width=True)
+    
+        # url = "https://api.chart-img.com/v2/tradingview/advanced-chart"
+        # api_key = "l0iUFRSeqC9z7nDPTd1hnafPh2RrdcEy6rl6tNqV"
+        # headers = {
+        #     "x-api-key": api_key,
+        #     "content-type": "application/json"
+        # }
+        # data = {
+        #     "height": 400,
+        #     "theme": "light",
+        #     "interval": "1D",
+        #     "session": "extended",
+        #     "symbol": f"NSE:{ticker_user}"
+        # }
+        
+        # response = requests.post(url, headers=headers, json=data)
+        
+        # if response.status_code == 200:
+        #     with open("chart_t1.jpg", "wb") as f:
+        #         f.write(response.content)
+        #     with col2:
+        #         st.image("chart_t1.jpg", caption='')
+        # else:
+        #     st.warning(f"Failed to retrieve image. Status code: {response.status_code}")
+        #     st.warning("Response:", response.text)
+
+        
         url1 = f"https://www.google.com/finance/quote/{ticker_user}:NSE?hl=en"
         url2 = f"https://in.tradingview.com/symbols/NSE-{ticker_user}/"
         url3 = f"https://in.tradingview.com/symbols/NSE-{ticker_user}/news/"
@@ -253,91 +342,7 @@ if activities == "Symbol Analysis":
         }}
         """
         
-        # st.sidebar.subheader('Prompt')
-        # user_prompt = st.sidebar.text_area("Enter Prompt",llm_prompt_template)
-        #https://huggingface.co/spaces/pradeepodela/Stock-Analyser/blob/main/app.py
-        interval = Interval.INTERVAL_1_DAY
-        analysis_summary = get_tradingview_analysis(
-                symbol=ticker_user,
-                exchange="NSE",
-                screener="india",
-                interval=interval,
-            )
-    
-        # st.title("Analysis Summary")
-        # st.dataframe(analysis_summary.summary)
-        # query = f"{ticker_user} stock"
-    
-        details = {
-            "symbol": ticker_user,
-            "exchange": "NSE",
-            "screener": "india",
-            "interval": interval,
-        }
-        # st.title("Details")
-        # st.dataframe(details)
-    
-        # st.title("Oscillator Analysis")
-        # st.dataframe(analysis_summary.oscillators)
-    
-        # st.title("Moving Averages")
-        # st.dataframe(analysis_summary.moving_averages)
-    
-        # st.title("Summary")
-        # st.dataframe(analysis_summary.summary)
-    
-        # st.title("Indicators")
-        # st.dataframe(analysis_summary.indicators)
-    
-        # Page Title
-        st.subheader(f"📊 Stock Analysis: :red[{ticker_user} : {interval}] ({details['exchange']})")
         
-        # --- Row 1: Details + Summary ---
-        # col1, col2 = st.columns([1, 3])
-        # with col1:
-            # st.write(analysis_summary.summary)
-        summary= analysis_summary.summary
-        BUY_PER = (summary['BUY']/(summary['BUY'] + summary['SELL']+ summary['NEUTRAL']))*100
-        st.markdown(f"##### RECOMMENDATION : :red[{summary['RECOMMENDATION']}]  |  BUY CONFIDENCE %: :red[{round(BUY_PER,2)}]")
-        
-        # --- Row 2: Oscillators + Moving Averages ---
-        # col3, col4 = st.columns(2)
-        # with col3:
-        #     st.subheader("⚙️ Oscillator Analysis")
-        #     st.dataframe(analysis_summary.oscillators, use_container_width=True)
-        
-        # with col4:
-        #     st.subheader("📈 Moving Averages")
-        #     st.dataframe(analysis_summary.moving_averages, use_container_width=True)
-        
-        # # --- Row 3: Indicators ---
-        # st.subheader("🔍 Indicators")
-        # st.dataframe(analysis_summary.indicators, use_container_width=True)
-    
-        # url = "https://api.chart-img.com/v2/tradingview/advanced-chart"
-        # api_key = "l0iUFRSeqC9z7nDPTd1hnafPh2RrdcEy6rl6tNqV"
-        # headers = {
-        #     "x-api-key": api_key,
-        #     "content-type": "application/json"
-        # }
-        # data = {
-        #     "height": 400,
-        #     "theme": "light",
-        #     "interval": "1D",
-        #     "session": "extended",
-        #     "symbol": f"NSE:{ticker_user}"
-        # }
-        
-        # response = requests.post(url, headers=headers, json=data)
-        
-        # if response.status_code == 200:
-        #     with open("chart_t1.jpg", "wb") as f:
-        #         f.write(response.content)
-        #     with col2:
-        #         st.image("chart_t1.jpg", caption='')
-        # else:
-        #     st.warning(f"Failed to retrieve image. Status code: {response.status_code}")
-        #     st.warning("Response:", response.text)
 
         google_docs = get_google_news_documents(f"Trending News for {ticker_user}", max_articles=10)
         docs.extend(google_docs)
@@ -551,3 +556,14 @@ elif activities=="News Sentiment":
 
 else:
     pass
+
+# Add copyright line at the bottom
+st.markdown(
+    """
+    <hr>
+    <p style="text-align:center; font-size:12px; color:gray;">
+    &copy; 2025 RAJAT RANJAN. All rights reserved.
+    </p>
+    """,
+    unsafe_allow_html=True
+)