feat: initialize FastAPI backend and Streamlit frontend for relationship analysis service

.streamlit/config.toml

@@ -0,0 +1,7 @@
+[server]
+enableCORS = false
+enableXsrfProtection = false
+maxUploadSize = 100
+
+[browser]
+gatherUsageStats = false

backend/app.py

@@ -47,7 +47,9 @@ async def detect_perspective_route(
     feelings: str = Form(""),
     files: List[UploadFile] = File(default=[]),
 ):
+    logger.info(f"Detect perspective called. Files: {len(files)}, Chat length: {len(chat)}, Feelings length: {len(feelings)}")
     try:
+
         # Save temp files and extract OCR
         image_paths = []
         for file in files:

frontend/app.py

@@ -395,11 +395,14 @@ if st.session_state.get("run_analysis"):
 
         st.session_state["analysis_payload"] = payload.get("analysis", {})
         st.session_state["analysis_raw"] = payload.get("raw", {})
-        st.session_state["draft_chat"] = chat
-        st.session_state["draft_feelings"] = feelings
+        
+        # Save the actual text used for analysis to drafts
+        st.session_state["draft_chat"] = analysis_chat
+        st.session_state["draft_feelings"] = analysis_feelings
         
         loading_placeholder.empty()
         st.switch_page("pages/results.py")
     except Exception as e:
         loading_placeholder.empty()
-        st.error(f"Velra encountered an issue connecting to the engine. Ensure backend is running. Details: {e}")
+        st.error(f"Velra encountered an issue connecting to the engine. Details: {e}")
+