Backlinking tool & Img optimization, PIL & Tinify API

alwrity.py

@@ -325,7 +325,7 @@ def main():
     if check_api_keys() and check_llm_environs():
         # Define the tabs
         tab1, tab2, tab3, tab4, tab5, tab6 = st.tabs(
-            ["AI Writers", "Content Planning", "Agents Teams", "AI SEO tools", "AI Social Tools", "Ask Alwrity"])
+            ["✍️🤖AI Writers", " 📝📅Content Planning", "🤝🤖Agents Teams", "🛠️🔍AI SEO tools", "📱AI Social Tools", " 💬Ask Alwrity"])
         with tab1:
             ai_writers()
 

lib/ai_writers/facebook_ai_writer.py

@@ -4,7 +4,7 @@ import json
 import requests
 import streamlit as st
 
-from streamlit_quill import st_quill
+#from streamlit_quill import st_quill
 from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
 
 

lib/ai_writers/insta_ai_writer.py

@@ -4,6 +4,8 @@ import json
 import requests
 import streamlit as st
 
+from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
+
 
 def insta_writer():
     # Title and description
@@ -42,7 +44,7 @@ def insta_writer():
                             )
                     if insta_captions:
                         st.subheader('**👩👩🔬Go Viral, with these Instagram captions!🎆🎇 🎇**')
-                        st.code(insta_captions)
+                        st.markdown(insta_captions)
                     else:
                         st.error("💥**Failed to generate instagram Captions. Please try again!**")
 
@@ -69,5 +71,10 @@ def generate_insta_captions(input_insta_keywords, input_insta_type, input_insta_
 
         \nInstagram caption keywords: '{input_insta_keywords}'\n
         """
-        insta_captions = generate_text_with_exception_handling(prompt)
-        return insta_captions
+
+    try:
+        response = llm_text_gen(prompt)
+        return response
+    except Exception as err:
+        st.error(f"Exit: Failed to get response from LLM: {err}")
+        exit(1)

lib/ai_writers/twitter_ai_writer.py

@@ -4,6 +4,8 @@ import json
 import requests
 import streamlit as st
 
+from ..gpt_providers.text_generation.main_text_generation import llm_text_gen
+
 
 def tweet_writer():
     """ AI Tweet Generator """
@@ -25,15 +27,14 @@ def tweet_writer():
             )
 
     if st.button('**Write Tweets**'):
-        with st.status("Assigning AI professional to write your Google Ads copy..", expanded=True) as status:
-            if not target_audience or not hook:
-                st.error("🚫 Please provide all required inputs.")
-            else:
+        if not target_audience or not hook:
+            st.error("🚫 Please provide all required inputs.")
+        else:
+            with st.status("Assigning AI professional to write your Google Ads copy..", expanded=True) as status:
                 response = tweet_generator(target_audience, hook)
                 if response:
-                    st.subheader(f'**🧕👩: Your Final Tweets!**')
-                    st.write(response)
-                    st.write("\n\n\n\n\n\n")
+                    st.subheader(f'**🧕👩: Your Tweets!**')
+                    st.markdown(response)
                 else:
                     st.error("💥**Failed to write Letter. Please try again!**")
 
@@ -67,7 +68,7 @@ def tweet_generator(target_audience, hook):
     """
 
     try:
-        response = generate_text_with_exception_handling(prompt)
+        response = llm_text_gen(prompt)
         return response
     except Exception as err:
         st.error(f"Exit: Failed to get response from LLM: {err}")