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Update app.py
Browse files
app.py
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@@ -92,6 +92,22 @@ def create_knowledge_base(data):
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return qa_chain
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def main():
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st.sidebar.title("Quantilytix Grant Scraper")
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st.sidebar.image("logoqb.jpeg", use_container_width=True)
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@@ -129,6 +145,8 @@ def main():
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b64 = base64.b64encode(csv_data).decode()
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download_link = f"<a href='data:application/vnd.ms-excel;base64,{b64}' download='grants.csv'>Download CSV</a>"
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st.sidebar.markdown(download_link, unsafe_allow_html=True)
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elif selected_format == "Excel":
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excel_data = convert_to_excel(result)
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b64 = base64.b64encode(excel_data).decode()
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@@ -137,13 +155,15 @@ def main():
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st.dataframe(result['grants'])
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if st.sidebar.button("Load as Knowledge Base"):
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st.session_state.qa_chain = create_knowledge_base(result)
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st.session_state.chat_interface_active = True
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if "chat_interface_active" in st.session_state and st.session_state.chat_interface_active:
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st.image("logoqb.jpeg",
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st.
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query = st.text_input("Ask a question about the grants:", key="chat_input")
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if query:
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return qa_chain
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def get_shareable_link(file_data, file_name, file_type):
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"""
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Generates a shareable link for the file using a base64 data URL.
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Args:
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file_data: The file data in bytes.
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file_name: The name of the file.
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file_type: The MIME type of the file (e.g., 'text/csv', 'application/vnd.ms-excel').
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Returns:
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A base64-encoded data URL for the file.
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"""
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b64 = base64.b64encode(file_data).decode()
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return f"data:{file_type};base64,{b64}"
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def main():
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st.sidebar.title("Quantilytix Grant Scraper")
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st.sidebar.image("logoqb.jpeg", use_container_width=True)
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b64 = base64.b64encode(csv_data).decode()
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download_link = f"<a href='data:application/vnd.ms-excel;base64,{b64}' download='grants.csv'>Download CSV</a>"
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st.sidebar.markdown(download_link, unsafe_allow_html=True)
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shareable_link = get_shareable_link(result, file_name, file_type)
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elif selected_format == "Excel":
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excel_data = convert_to_excel(result)
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b64 = base64.b64encode(excel_data).decode()
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st.dataframe(result['grants'])
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if st.sidebar.button("Load as Knowledge Base"):
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st.session_state.qa_chain = create_knowledge_base(result)
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st.session_state.chat_interface_active = True
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if "chat_interface_active" in st.session_state and st.session_state.chat_interface_active:
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st.image("logoqb.jpeg", width=100, height=100)
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st.header("Chat Interface Loaded. Start asking questions about the grants!")
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query = st.text_input("Ask a question about the grants:", key="chat_input")
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if query:
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