feat: implement web research functionality in content planning tools of alwrity.py

alwrity.py

@@ -432,7 +432,60 @@ 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":