Create main.py

main.py

@@ -0,0 +1,58 @@
+import streamlit as st
+from utils.config import load_config
+from core.text_processing import TextProcessor
+from core.analysis import AdvancedAnalyzer
+from core.ui import UI
+
+def main():
+    # Load configuration
+    config = load_config()
+    
+    # Setup UI
+    UI.setup_page()
+    
+    # Initialize processors
+    text_processor = TextProcessor(config)
+    analyzer = AdvancedAnalyzer(config)
+    
+    # Sidebar configuration
+    with st.sidebar:
+        st.title("Analysis Settings")
+        config['analysis']['num_topics'] = st.slider(
+            "Number of Topics", 
+            2, 10, 
+            config['analysis']['num_topics']
+        )
+        config['analysis']['min_entity_confidence'] = st.slider(
+            "Entity Confidence Threshold",
+            0.0, 1.0,
+            config['analysis']['min_entity_confidence']
+        )
+    
+    # Main content
+    st.title("Enhanced AI Output Analyzer")
+    
+    # Input section
+    input_method = st.radio("Choose input method:", ["Text Input", "File Upload"])
+    
+    if input_method == "File Upload":
+        text = text_processor.process_file_upload(
+            st.file_uploader("Upload a text file", type=['txt'])
+        )
+    else:
+        text = st.text_area("Enter text to analyze:", height=200)
+    
+    # Analysis section
+    if st.button("Analyze", type="primary") and text_processor.validate_text(
+        text, config['analysis']['max_text_length']
+    ):
+        try:
+            with st.spinner("Analyzing text..."):
+                results = analyzer.analyze_text(text)
+                UI.display_results(results)
+                
+        except Exception as e:
+            st.error(f"An error occurred during analysis: {str(e)}")
+
+if __name__ == "__main__":
+    main()