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app.py
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app.py
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import time
import streamlit as st
from vanna_calls import (
generate_questions_cached,
generate_sql_cached,
run_sql_cached,
generate_plotly_code_cached,
generate_plot_cached,
generate_followup_cached,
should_generate_chart_cached,
is_sql_valid_cached,
generate_summary_cached
)
avatar_url = "https://vanna.ai/img/vanna.svg"
st.set_page_config(layout="wide")
st.sidebar.title("Output Settings")
st.sidebar.checkbox("Show SQL", value=True, key="show_sql")
st.sidebar.checkbox("Show Table", value=True, key="show_table")
st.sidebar.checkbox("Show Plotly Code", value=True, key="show_plotly_code")
st.sidebar.checkbox("Show Chart", value=True, key="show_chart")
st.sidebar.checkbox("Show Summary", value=True, key="show_summary")
st.sidebar.checkbox("Show Follow-up Questions", value=True, key="show_followup")
st.sidebar.button("Reset", on_click=lambda: set_question(None), use_container_width=True)
st.title("Vanna AI")
# st.sidebar.write(st.session_state)
def set_question(question):
st.session_state["my_question"] = question
assistant_message_suggested = st.chat_message(
"assistant", avatar=avatar_url
)
if assistant_message_suggested.button("Click to show suggested questions"):
st.session_state["my_question"] = None
questions = generate_questions_cached()
for i, question in enumerate(questions):
time.sleep(0.05)
button = st.button(
question,
on_click=set_question,
args=(question,),
)
my_question = st.session_state.get("my_question", default=None)
if my_question is None:
my_question = st.chat_input(
"Ask me a question about your data",
)
if my_question:
st.session_state["my_question"] = my_question
user_message = st.chat_message("user")
user_message.write(f"{my_question}")
sql = generate_sql_cached(question=my_question)
if sql:
if is_sql_valid_cached(sql=sql):
if st.session_state.get("show_sql", True):
assistant_message_sql = st.chat_message(
"assistant", avatar=avatar_url
)
assistant_message_sql.code(sql, language="sql", line_numbers=True)
else:
assistant_message = st.chat_message(
"assistant", avatar=avatar_url
)
assistant_message.write(sql)
st.stop()
df = run_sql_cached(sql=sql)
if df is not None:
st.session_state["df"] = df
if st.session_state.get("df") is not None:
if st.session_state.get("show_table", True):
df = st.session_state.get("df")
assistant_message_table = st.chat_message(
"assistant",
avatar=avatar_url,
)
if len(df) > 10:
assistant_message_table.text("First 10 rows of data")
assistant_message_table.dataframe(df.head(10))
else:
assistant_message_table.dataframe(df)
if should_generate_chart_cached(question=my_question, sql=sql, df=df):
code = generate_plotly_code_cached(question=my_question, sql=sql, df=df)
if st.session_state.get("show_plotly_code", False):
assistant_message_plotly_code = st.chat_message(
"assistant",
avatar=avatar_url,
)
assistant_message_plotly_code.code(
code, language="python", line_numbers=True
)
if code is not None and code != "":
if st.session_state.get("show_chart", True):
assistant_message_chart = st.chat_message(
"assistant",
avatar=avatar_url,
)
fig = generate_plot_cached(code=code, df=df)
if fig is not None:
assistant_message_chart.plotly_chart(fig)
else:
assistant_message_chart.error("I couldn't generate a chart")
if st.session_state.get("show_summary", True):
assistant_message_summary = st.chat_message(
"assistant",
avatar=avatar_url,
)
summary = generate_summary_cached(question=my_question, df=df)
if summary is not None:
assistant_message_summary.text(summary)
if st.session_state.get("show_followup", True):
assistant_message_followup = st.chat_message(
"assistant",
avatar=avatar_url,
)
followup_questions = generate_followup_cached(
question=my_question, sql=sql, df=df
)
st.session_state["df"] = None
if len(followup_questions) > 0:
assistant_message_followup.text(
"Here are some possible follow-up questions"
)
# Print the first 5 follow-up questions
for question in followup_questions[:5]:
assistant_message_followup.button(question, on_click=set_question, args=(question,))
else:
assistant_message_error = st.chat_message(
"assistant", avatar=avatar_url
)
assistant_message_error.error("I wasn't able to generate SQL for that question")