feat: streamline web research process and integrate Google Trends results into Streamlit UI

This commit is contained in:
ajaysi (aider)
2024-09-14 19:55:16 +05:30
parent 12d66e8ff2
commit 2a28af1d02
2 changed files with 64 additions and 19 deletions

View File

@@ -503,24 +503,6 @@ def competitor_analysis():
st.error("Please enter a valid URL.")
def do_web_research():
""" Input keywords and do web research and present a report."""
st.title("Web Research Assistant")
st.write("Enter keywords for web research. The keywords should be at least three words long.")
search_keywords = st.text_input("Search Keywords", placeholder="Enter keywords for web research...")
if st.button("Start Web Research"):
if search_keywords and len(search_keywords.split()) >= 3:
try:
st.info(f"Starting web research on given keywords: {search_keywords}")
with st.spinner("Performing web research..."):
web_research_result = gpt_web_researcher(search_keywords)
st.success("Web research completed successfully!")
st.write(web_research_result)
except Exception as err:
st.error(f"ERROR: Failed to do web research: {err}")
else:
st.warning("Search keywords should be at least three words long. Please try again.")
def ai_finance_ta_writer():

View File

@@ -3,7 +3,17 @@ from lib.utils.alwrity_utils import (
blog_from_keyword, ai_agents_team, essay_writer, ai_news_writer, ai_seo_tools,
ai_finance_ta_writer, ai_social_writer, do_web_research, competitor_analysis
)
import pandas as pd
import matplotlib.pyplot as plt
from lib.ai_writers.ai_story_writer.story_writer import story_input_section
from lib.ai_web_researcher.google_trends_researcher import (
fetch_multirange_interest_over_time,
fetch_historical_hourly_interest,
fetch_trending_searches,
fetch_realtime_search_trends,
fetch_top_charts,
fetch_suggestions
)
from lib.ai_writers.ai_product_description_writer import write_ai_prod_desc
from lib.content_planning_calender.content_planning_agents_alwrity_crew import ai_agents_content_planner
@@ -49,7 +59,60 @@ def content_planning_tools():
choice = st.radio("Select a content planning tool:", options, index=0, format_func=lambda x: f"🔍 {x}")
if choice == "Keywords Researcher":
do_web_research()
st.title("Web Research Assistant")
st.write("Enter keywords for web research. The keywords should be at least three words long.")
search_keywords = st.text_input("Search Keywords", placeholder="Enter keywords for web research...")
if st.button("Start Web Research"):
if search_keywords and len(search_keywords.split()) >= 3:
try:
st.info(f"Starting web research on given keywords: {search_keywords}")
with st.spinner("Performing web research..."):
# Fetch and display multirange interest over time
st.subheader("Multirange Interest Over Time")
multirange_data = fetch_multirange_interest_over_time([search_keywords], ['today 3-m', 'today 1-m'])
st.dataframe(multirange_data)
# Fetch and display historical hourly interest
st.subheader("Historical Hourly Interest")
hourly_data = fetch_historical_hourly_interest([search_keywords], '2023-01-01', '2023-01-31')
st.dataframe(hourly_data)
# Fetch and display trending searches
st.subheader("Trending Searches")
trending_data = fetch_trending_searches()
st.dataframe(trending_data)
# Fetch and display realtime search trends
st.subheader("Realtime Search Trends")
realtime_data = fetch_realtime_search_trends()
st.dataframe(realtime_data)
# Fetch and display top charts
st.subheader("Top Charts")
top_charts_data = fetch_top_charts(2023)
st.dataframe(top_charts_data)
# Fetch and display suggestions
st.subheader("Suggestions")
suggestions = fetch_suggestions(search_keywords)
st.dataframe(pd.DataFrame(suggestions))
# Example of plotting with Matplotlib
st.subheader("Interest Over Time Plot")
plt.figure(figsize=(10, 6))
plt.plot(multirange_data['date'], multirange_data[search_keywords], label=search_keywords)
plt.title(f'Interest Over Time for "{search_keywords}"')
plt.xlabel('Date')
plt.ylabel('Interest')
plt.legend()
st.pyplot(plt)
st.success("Web research completed successfully!")
except Exception as err:
st.error(f"ERROR: Failed to do web research: {err}")
else:
st.warning("Search keywords should be at least three words long. Please try again.")
elif choice == "Competitor Analysis":
competitor_analysis()
elif choice == "Content Calender Ideator":