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Update app.py
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app.py
CHANGED
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@@ -4,13 +4,13 @@ import pandas as pd
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import os
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# ---------------------------
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# Global Variables
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# ---------------------------
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API_KEY = os.getenv("FMP_API_KEY")
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DEFAULT_RSS_PAGE = 0
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DEFAULT_SEARCH_NAME = "enotap"
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DEFAULT_CIK = "0001916078"
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NUM_PAGES = 10
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# ---------------------------
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# Initialize Session State
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@@ -35,12 +35,15 @@ if "cik_value" not in st.session_state:
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@st.cache_data(show_spinner=False)
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def fetch_crowdfunding_rss(page: int) -> pd.DataFrame:
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"""
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Fetch the crowdfunding RSS feed data
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"""
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url = f"https://financialmodelingprep.com/api/v4/crowdfunding-offerings-rss-feed?page={page}&apikey={API_KEY}"
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if not data:
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return pd.DataFrame()
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return pd.DataFrame(data)
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@@ -51,9 +54,12 @@ def fetch_crowdfunding_search(name: str) -> pd.DataFrame:
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Search for crowdfunding campaigns by name.
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"""
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url = f"https://financialmodelingprep.com/api/v4/crowdfunding-offerings/search?name={name}&apikey={API_KEY}"
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if not data:
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return pd.DataFrame()
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return pd.DataFrame(data)
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@@ -64,9 +70,12 @@ def fetch_crowdfunding_by_cik(cik: str) -> pd.DataFrame:
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Fetch all crowdfunding campaigns launched by a company identified by its CIK.
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"""
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url = f"https://financialmodelingprep.com/api/v4/crowdfunding-offerings?cik={cik}&apikey={API_KEY}"
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if not data:
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return pd.DataFrame()
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return pd.DataFrame(data)
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@@ -75,12 +84,12 @@ def fetch_crowdfunding_by_cik(cik: str) -> pd.DataFrame:
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# MAIN APP
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# ---------------------------
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def main():
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st.set_page_config(page_title="Crowdfunding Campaigns
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st.title("Crowdfunding Campaigns
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st.write(
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"
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"Use the side menu to select
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"Each page
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)
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# Sidebar: Navigation and Options
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@@ -88,7 +97,11 @@ def main():
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page = st.radio(
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"Select Page",
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("Crowdfunding RSS Feed", "Crowdfunding Search", "Crowdfunding By CIK"),
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help=
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)
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if page == "Crowdfunding RSS Feed":
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@@ -125,12 +138,12 @@ def main():
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st.header("Crowdfunding RSS Feed")
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st.write(
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"This page displays the latest crowdfunding campaigns from an RSS feed. "
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"
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)
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if st.session_state.run_rss:
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df_rss = fetch_crowdfunding_rss(st.session_state.rss_page)
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if df_rss.empty:
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st.error("No data
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else:
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st.dataframe(df_rss, use_container_width=True)
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else:
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@@ -139,13 +152,13 @@ def main():
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elif page == "Crowdfunding Search":
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st.header("Crowdfunding Search")
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st.write(
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"
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"The table below
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)
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if st.session_state.run_search:
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df_search = fetch_crowdfunding_search(st.session_state.search_name)
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if df_search.empty:
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st.error("No crowdfunding campaigns found for
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else:
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st.dataframe(df_search, use_container_width=True)
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else:
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@@ -154,13 +167,13 @@ def main():
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else: # Crowdfunding By CIK
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st.header("Crowdfunding By CIK")
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st.write(
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"
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"The table below contains
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)
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if st.session_state.run_cik:
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df_cik = fetch_crowdfunding_by_cik(st.session_state.cik_value)
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if df_cik.empty:
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st.error("No crowdfunding campaigns found for
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else:
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st.dataframe(df_cik, use_container_width=True)
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else:
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@@ -176,4 +189,4 @@ hide_streamlit_style = """
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footer {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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import os
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# ---------------------------
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# Global Variables
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# ---------------------------
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API_KEY = os.getenv("FMP_API_KEY")
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DEFAULT_RSS_PAGE = 0
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DEFAULT_SEARCH_NAME = "enotap"
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DEFAULT_CIK = "0001916078"
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NUM_PAGES = 10
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# ---------------------------
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# Initialize Session State
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@st.cache_data(show_spinner=False)
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def fetch_crowdfunding_rss(page: int) -> pd.DataFrame:
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"""
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Fetch the crowdfunding RSS feed data for a specific page.
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"""
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url = f"https://financialmodelingprep.com/api/v4/crowdfunding-offerings-rss-feed?page={page}&apikey={API_KEY}"
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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except:
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return pd.DataFrame()
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if not data:
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return pd.DataFrame()
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return pd.DataFrame(data)
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Search for crowdfunding campaigns by name.
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"""
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url = f"https://financialmodelingprep.com/api/v4/crowdfunding-offerings/search?name={name}&apikey={API_KEY}"
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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except:
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return pd.DataFrame()
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if not data:
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return pd.DataFrame()
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return pd.DataFrame(data)
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Fetch all crowdfunding campaigns launched by a company identified by its CIK.
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"""
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url = f"https://financialmodelingprep.com/api/v4/crowdfunding-offerings?cik={cik}&apikey={API_KEY}"
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try:
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response = requests.get(url)
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response.raise_for_status()
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data = response.json()
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except:
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return pd.DataFrame()
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if not data:
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return pd.DataFrame()
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return pd.DataFrame(data)
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# MAIN APP
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# ---------------------------
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def main():
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st.set_page_config(page_title="Crowdfunding Campaigns", layout="wide")
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st.title("Crowdfunding Campaigns")
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st.write(
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"Access real-time crowdfunding campaign data. "
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"Use the side menu to select from the three pages below. "
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"Each page provides a table with specific campaign details."
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)
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# Sidebar: Navigation and Options
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page = st.radio(
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"Select Page",
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("Crowdfunding RSS Feed", "Crowdfunding Search", "Crowdfunding By CIK"),
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help=(
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"Crowdfunding RSS Feed: View live campaign data. "
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"Crowdfunding Search: Find campaigns by name. "
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"Crowdfunding By CIK: Show campaigns for a company by its CIK."
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)
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)
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if page == "Crowdfunding RSS Feed":
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st.header("Crowdfunding RSS Feed")
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st.write(
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"This page displays the latest crowdfunding campaigns from an RSS feed. "
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"It includes details such as company name, form type, offering amount, and more."
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)
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if st.session_state.run_rss:
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df_rss = fetch_crowdfunding_rss(st.session_state.rss_page)
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if df_rss.empty:
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st.error("No data found for the specified RSS page.")
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else:
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st.dataframe(df_rss, use_container_width=True)
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else:
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elif page == "Crowdfunding Search":
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st.header("Crowdfunding Search")
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st.write(
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"Search for crowdfunding campaigns by company or campaign name. "
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"The table below shows all matching results."
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)
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if st.session_state.run_search:
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df_search = fetch_crowdfunding_search(st.session_state.search_name)
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if df_search.empty:
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st.error("No crowdfunding campaigns found for that name.")
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else:
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st.dataframe(df_search, use_container_width=True)
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else:
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else: # Crowdfunding By CIK
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st.header("Crowdfunding By CIK")
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st.write(
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"Shows all crowdfunding campaigns for a company identified by its CIK. "
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"The table below contains details for each campaign."
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)
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if st.session_state.run_cik:
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df_cik = fetch_crowdfunding_by_cik(st.session_state.cik_value)
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if df_cik.empty:
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st.error("No crowdfunding campaigns found for that CIK.")
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else:
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st.dataframe(df_cik, use_container_width=True)
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else:
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footer {visibility: hidden;}
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</style>
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"""
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st.markdown(hide_streamlit_style, unsafe_allow_html=True)
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