Create app.py

app.py

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+import streamlit as st
+import pandas as pd
+import yfinance as yf
+import matplotlib.pyplot as plt
+import requests
+import json
+ 
+ 
+import io
+url_stocks = "https://financialmodelingprep.com/api/v3/stock/list?apikey="
+url_sentiment = "https://yaakovy-fin-proj-docker.hf.space/ticker/"
+
+
+
+def get_max_sentiment(row):
+    max_value = max(row['neg'], row['neu'], row['pos'])
+    if max_value == row['neg']:
+        return 'neg'
+    elif max_value == row['neu']:
+        return 'neu'
+    else:
+        return 'pos'
+
+
+
+def get_sentiment_data(stock_info):
+    symbol = stock_info.info['symbol']
+    url_sentiment_with_ticker = f"{url_sentiment}{symbol}"
+    response = requests.get(url_sentiment_with_ticker)
+    if response.status_code == 200:
+        json_data = json.loads(response.json())         
+        df = pd.DataFrame(json_data)    
+        df['sentiment'] = df.apply(get_max_sentiment, axis=1)
+        df = df.drop(['neg', 'neu', 'pos', 'sentiment_score'], axis=1)
+        return df
+    else:
+        return 
+
+def print_sentiment(stock_info):
+        df = get_sentiment_data(stock_info)
+        st.write("Market Sentiment")
+        st.dataframe(df, hide_index =True )
+    
+  
+
+def print_stock_info(stock_info):
+    stock_info_html = get_stock_info_from_html(stock_info.info)
+    st.write(stock_info_html, unsafe_allow_html=True)
+    plot_graph(stock_info)
+    
+    col1, col2 = st.columns([0.8, 0.2])
+    with col1:
+        st.pyplot(plt)
+    with col2:
+        tf = st.radio(
+        "Select Time Frame",
+        ["1Y", "3Y", "5Y"], index=2,
+        key="chart_time_frame",       
+        )
+        
+def get_stock_info_from_html(stock_info):
+    si = stock_info
+    text = (f"<b>Comp. Name: </b> {si['longName']}, {si['city']}, {si['state']} {si['country']} <br>"
+            f"<b>Web site: </b>   <a href=\"{si['website']}\">{si['website']}</a> <br>"
+            f"<b>Stock Price: </b>  {si['currentPrice']} {str(si['financialCurrency'])}")
+    return text
+
+def plot_graph(stock_info):
+    period = st.session_state.chart_time_frame or "5Y" 
+    history = stock_info.history(period=period)
+    name = stock_info.info['longName']
+    plt.plot(history['Close'])
+    plt.xlabel('Date')
+    plt.ylabel('Price')
+    plt.title(f"{name} Stock Price")
+    return plt
+
+st.title('_My Crystal Ball_')
+par1 = "It allows users to stay informed about the latest market trends and make informed decisions about their investments."
+par2 = "To get started, simply select whether you want information on currencies or stocks:<br> "\
+       "<ul><li><strong>Currencies</strong><br>Choose from a wide range of currencies to view the latest exchange rates, historical data, and charts.</li>"\
+       "<li><strong>Stocks</strong><br>Search for specific stocks to view real-time prices, historical data, news, and more.</li></ul>"
+st.write(par1, unsafe_allow_html=True)
+st.write(par2, unsafe_allow_html=True)
+
+
+if 'chart_time_frame' not in st.session_state:
+    st.session_state['chart_time_frame'] = '5Y'
+
+if 'data_available' not in st.session_state:
+    st.session_state['data_available'] = False
+
+
+option = st.selectbox("select", ["", "Currencies", "Stocks"], placeholder="Choose an option", label_visibility =  "hidden")
+
+if option == "Currencies":
+    input_text = "Enter currency pair"
+else:
+    input_text = "Enter stock symbol"
+
+
+text_box: str = None
+btn_get_data = None
+
+
+if option:
+    text_box = st.text_input(input_text)
+
+with st.spinner('Wait for it...'):
+    if text_box:
+        ticker = text_box.upper()
+        try:
+            stock_info = yf.Ticker(ticker)
+            stock_info.info['longName']
+        except:
+            st.error('Ticker not found', icon="🚨")  
+            st.session_state['data_available'] = False    
+        else:
+            
+            st.session_state['data_available'] = True          
+            print_stock_info(stock_info)
+            print_sentiment(stock_info)
+