Twitter and LinkedIn Writers

lib/ai_writers/linkedin_writer/modules/profile_optimizer/linkedin_profile_optimizer_ui.py

@@ -31,31 +31,32 @@ async def linkedin_profile_optimizer_ui():
         st.info("Upload your profile information for a comprehensive analysis")
         
         # Profile Data Input
-        with st.expander("Enter Profile Information", expanded=True):
-            profile_data = {
-                "headline": st.text_input("Current Headline"),
-                "about": st.text_area("About Section"),
-                "industry": st.text_input("Industry"),
-                "current_role": st.text_input("Current Role"),
-                "experience": [],
-                "skills": st.text_area("Current Skills (one per line)").split("\n"),
-                "education": st.text_area("Education (one per line)").split("\n")
-            }
-            
-            # Experience Input
-            st.subheader("Work Experience")
-            num_experiences = st.number_input("Number of experiences to add", min_value=0, max_value=10, value=1)
-            
-            for i in range(num_experiences):
-                with st.expander(f"Experience {i+1}"):
-                    exp = {
-                        "role": st.text_input(f"Role {i+1}"),
-                        "company": st.text_input(f"Company {i+1}"),
-                        "description": st.text_area(f"Description {i+1}")
-                    }
-                    profile_data["experience"].append(exp)
+        st.subheader("Enter Profile Information")
+        profile_data = {
+            "headline": st.text_input("Current Headline", key="profile_headline"),
+            "about": st.text_area("About Section", key="profile_about"),
+            "industry": st.text_input("Industry", key="profile_industry"),
+            "current_role": st.text_input("Current Role", key="profile_role"),
+            "experience": [],
+            "skills": st.text_area("Current Skills (one per line)", key="profile_skills").split("\n"),
+            "education": st.text_area("Education (one per line)", key="profile_education").split("\n")
+        }
         
-        if st.button("Analyze Profile"):
+        # Experience Input
+        st.subheader("Work Experience")
+        num_experiences = st.number_input("Number of experiences to add", min_value=0, max_value=10, value=1, key="profile_num_exp")
+        
+        for i in range(num_experiences):
+            st.markdown(f"**Experience {i+1}**")
+            exp = {
+                "role": st.text_input(f"Role {i+1}", key=f"profile_role_{i}"),
+                "company": st.text_input(f"Company {i+1}", key=f"profile_company_{i}"),
+                "description": st.text_area(f"Description {i+1}", key=f"profile_desc_{i}")
+            }
+            profile_data["experience"].append(exp)
+            st.divider()
+        
+        if st.button("Analyze Profile", key="profile_analyze_btn"):
             with st.spinner("Analyzing your profile..."):
                 analysis = await optimizer.analyze_profile_strength(profile_data)
                 
@@ -83,11 +84,11 @@ async def linkedin_profile_optimizer_ui():
         st.header("Headline Optimizer")
         st.info("Optimize your headline for better visibility and impact")
         
-        current_headline = st.text_input("Current Headline")
-        industry = st.text_input("Industry")
-        role = st.text_input("Current/Target Role")
+        current_headline = st.text_input("Current Headline", key="headline_current")
+        industry = st.text_input("Industry", key="headline_industry")
+        role = st.text_input("Current/Target Role", key="headline_role")
         
-        if st.button("Optimize Headline"):
+        if st.button("Optimize Headline", key="headline_optimize_btn"):
             with st.spinner("Generating optimized headline..."):
                 headline_optimization = await optimizer.optimize_headline(
                     current_headline,
@@ -110,11 +111,11 @@ async def linkedin_profile_optimizer_ui():
         st.header("About Section Generator")
         st.info("Create an engaging and professional About section")
         
-        current_about = st.text_area("Current About Section")
-        achievements = st.text_area("Key Achievements (one per line)").split("\n")
-        target_audience = st.text_input("Target Audience")
+        current_about = st.text_area("Current About Section", key="about_current")
+        achievements = st.text_area("Key Achievements (one per line)", key="about_achievements").split("\n")
+        target_audience = st.text_input("Target Audience", key="about_audience")
         
-        if st.button("Generate About Section"):
+        if st.button("Generate About Section", key="about_generate_btn"):
             with st.spinner("Generating optimized About section..."):
                 about_optimization = await optimizer.generate_about_section(
                     current_about,
@@ -128,8 +129,9 @@ async def linkedin_profile_optimizer_ui():
                 
                 st.subheader("Section Structure")
                 for section, explanation in about_optimization['structure_explanation'].items():
-                    with st.expander(section):
-                        st.write(explanation)
+                    st.markdown(f"**{section}**")
+                    st.write(explanation)
+                    st.divider()
                 
                 st.subheader("Impact Factors")
                 for factor in about_optimization['impact_factors']:
@@ -141,44 +143,47 @@ async def linkedin_profile_optimizer_ui():
         st.info("Enhance your work experience descriptions for maximum impact")
         
         experiences = []
-        num_exp = st.number_input("Number of experiences to enhance", min_value=1, max_value=10, value=1)
+        num_exp = st.number_input("Number of experiences to enhance", min_value=1, max_value=10, value=1, key="exp_num")
         
         for i in range(num_exp):
-            with st.expander(f"Experience {i+1}"):
-                exp = {
-                    "role": st.text_input(f"Role {i+1}"),
-                    "company": st.text_input(f"Company {i+1}"),
-                    "description": st.text_area(f"Current Description {i+1}")
-                }
-                experiences.append(exp)
+            st.markdown(f"**Experience {i+1}**")
+            exp = {
+                "role": st.text_input(f"Role {i+1}", key=f"exp_role_{i}"),
+                "company": st.text_input(f"Company {i+1}", key=f"exp_company_{i}"),
+                "description": st.text_area(f"Current Description {i+1}", key=f"exp_desc_{i}")
+            }
+            experiences.append(exp)
+            st.divider()
         
-        if st.button("Enhance Experiences"):
+        if st.button("Enhance Experiences", key="exp_enhance_btn"):
             with st.spinner("Enhancing experience descriptions..."):
                 enhanced_experiences = await optimizer.enhance_experience_descriptions(experiences)
                 
                 for i, exp in enumerate(enhanced_experiences):
-                    with st.expander(f"Enhanced Experience {i+1}"):
-                        st.subheader(f"{exp['role']} at {exp['company']}")
-                        st.markdown(exp['enhanced_description'])
-                        
-                        st.subheader("Key Achievements")
-                        for achievement in exp['achievements']:
-                            st.success(achievement)
-                        
-                        st.subheader("Keywords Used")
-                        for keyword in exp['keywords']:
-                            st.info(keyword)
+                    st.markdown(f"**Enhanced Experience {i+1}**")
+                    st.subheader(f"{exp['role']} at {exp['company']}")
+                    st.markdown(exp['enhanced_description'])
+                    
+                    st.subheader("Key Achievements")
+                    for achievement in exp['achievements']:
+                        st.success(achievement)
+                    
+                    st.subheader("Keywords Used")
+                    for keyword in exp['keywords']:
+                        st.info(keyword)
+                    
+                    st.divider()
     
     # Skills Recommender Tab
     with tabs[4]:
         st.header("Skills Recommender")
         st.info("Get personalized skill recommendations for your profile")
         
-        current_skills = st.text_area("Current Skills (one per line)").split("\n")
-        industry = st.text_input("Industry (for skills)")
-        role = st.text_input("Role (for skills)")
+        current_skills = st.text_area("Current Skills (one per line)", key="skills_current").split("\n")
+        industry = st.text_input("Industry (for skills)", key="skills_industry")
+        role = st.text_input("Role (for skills)", key="skills_role")
         
-        if st.button("Get Skill Recommendations"):
+        if st.button("Get Skill Recommendations", key="skills_recommend_btn"):
             with st.spinner("Analyzing and recommending skills..."):
                 skill_recommendations = await optimizer.recommend_skills(
                     current_skills,
@@ -204,6 +209,7 @@ async def linkedin_profile_optimizer_ui():
                 
                 st.subheader("Skill Categories")
                 for category, skills in skill_recommendations['skill_categories'].items():
-                    with st.expander(category):
-                        for skill in skills:
-                            st.write(f"- {skill}") 
+                    st.markdown(f"**{category}**")
+                    for skill in skills:
+                        st.write(f"- {skill}")
+                    st.divider()