admin portal

src/frontend/app/pinecone_data_handler.py

@@ -1,5 +1,7 @@
 import requests
 from app import common_fuctions
+import streamlit as st
+
 
 API_BASE_URL = "http://localhost:8000/knowledge-base"
 
@@ -27,32 +29,82 @@ def delete_records(st):
             response = requests.post(f"{API_BASE_URL}/delete-records", json=payload)
             st.success(response.json()["message"]) if response.status_code == 200 else st.error(response.json()["detail"])
 
+# def render_metadata_fetch_form(st):
+#     st.header("Fetch Metadata")
+#     with st.form("fetch_metadata_form"):
+#         prompt_text = st.text_area("Describe Your Concern", "e.g., I've been feeling anxious lately.")
+#         n_result = st.number_input("Number of Results", min_value=1, value=3)
+#         score_threshold = st.number_input("Score Threshold", min_value=0.0, max_value=1.0, value=0.47)
+#         metadata_submit = st.form_submit_button("Fetch Metadata")
+
+#         if metadata_submit:
+#             payload = {
+#                 "prompt": prompt_text,
+#                 "n_result": n_result,
+#                 "score_threshold": score_threshold
+#             }
+#             response = requests.post(f"{API_BASE_URL}/fetch-metadata", json=payload)
+#             if response.status_code == 200:
+#                 metadata = response.json().get('metadata', [])
+#                 try:
+#                     if metadata:
+#                         st.subheader("Search Results")
+#                         for index, entry in enumerate(metadata, start=1):
+#                             st.markdown(f"### Result {index}")
+#                             common_fuctions.typewriter_effect(st, f"**Question:** {entry['question']}")
+#                             common_fuctions.typewriter_effect(st, f"**Answer:** {entry['answer']}")
+#                             st.markdown(f"**Score:** {entry['score']}")
+#                             st.markdown(f"**ID:** {entry['id']}")
+#                             st.markdown("---")
+#                 except Exception as e:
+#                     st.info("There is not relevant data to fetch")
+
 def render_metadata_fetch_form(st):
     st.header("Fetch Metadata")
     with st.form("fetch_metadata_form"):
-        prompt_text = st.text_area("Describe Your Concern", "e.g., I've been feeling anxious lately.")
-        n_result = st.number_input("Number of Results", min_value=1, value=3)
-        score_threshold = st.number_input("Score Threshold", min_value=0.0, max_value=1.0, value=0.47)
+        prompt_text = st.text_area(
+            "Describe Your Concern", 
+            "e.g., I've been feeling anxious lately.",
+            help="Provide a brief description of your concern to get relevant metadata."
+        )
+        n_result = st.number_input(
+            "Number of Results", 
+            min_value=1, 
+            value=3,
+            help="Specify the number of search results you'd like to retrieve."
+        )
+        score_threshold = st.number_input(
+            "Score Threshold", 
+            min_value=0.0, 
+            max_value=1.0, 
+            value=0.47,
+            help="Set the minimum relevance score for the results. Higher values ensure more accurate matches."
+        )
+
         metadata_submit = st.form_submit_button("Fetch Metadata")
 
         if metadata_submit:
             payload = {
-                "prompt": prompt_text,
+                "prompt": prompt_text.strip(),
                 "n_result": n_result,
                 "score_threshold": score_threshold
             }
-            response = requests.post(f"{API_BASE_URL}/fetch-metadata", json=payload)
-            if response.status_code == 200:
+
+            try:
+                response = requests.post(f"{API_BASE_URL}/fetch-metadata", json=payload)
+                response.raise_for_status()  # Ensures HTTP errors are caught
                 metadata = response.json().get('metadata', [])
+
                 if metadata:
                     st.subheader("Search Results")
                     for index, entry in enumerate(metadata, start=1):
                         st.markdown(f"### Result {index}")
-                        common_fuctions.typewriter_effect(st, f"**Question:** {entry['question']}")
-                        common_fuctions.typewriter_effect(st, f"**Answer:** {entry['answer']}")
-                        st.markdown(f"**Score:** {entry['score']}")
-                        st.markdown(f"**ID:** {entry['id']}")
-                        st.markdown("---")  # Separator for better clarity
-                    
-            else:
-                st.error(response.json().get("detail", "Failed to fetch metadata."))
+                        common_fuctions.typewriter_effect(st, f"**Question:** {entry.get('question', 'N/A')}")
+                        common_fuctions.typewriter_effect(st, f"**Answer:** {entry.get('answer', 'N/A')}")
+                        st.markdown(f"**Score:** {entry.get('score', 'N/A')}")
+                        st.markdown(f"**ID:** {entry.get('id', 'N/A')}")
+                        st.markdown("---")
+                else:
+                    st.info("No relevant data found based on your input. Try refining your concern or adjusting the threshold.")
+            except Exception as e:
+                st.error(f"An unexpected error occurred: {e}")

src/frontend/home.py

@@ -15,31 +15,30 @@ def render_homepage():
              use_container_width=True, 
              caption="Your AI-Powered Health Companion")
 
-    st.markdown("""
-    ### 👋 Welcome to the Yuvabe Care Companion AI!
-    This platform offers comprehensive tools to support your healthcare journey. Use the tabs below to navigate:
-    """)
-
-    # Feature Overview Section
-    st.markdown("""
-    ### 🔹 Key Features
-    - **Admin Portal** — Manage records, data, and configurations efficiently.
-    - **Knowledge Base Explorer** — Leverage advanced vector search to find relevant knowledge entries with precision.
-    - **Patient Assistance** — Personalized guidance to help patients describe their concerns.
-
-    > 💡 *Explore each section for detailed functionality.*
-    """)
-
     # Navigation Tabs
     Home, Admin_Portal, Knowledge_Base_Explorer = st.tabs(
         ["🏠 Home", "🔒 Admin Portal", "📚 Knowledge Base Explorer"]
     )
 
     with Home:
-        st.markdown("### 🌟 Getting Started")
+        # st.markdown("### 🌟 Getting Started")
+        # st.markdown("""
+        # - Select **Admin Portal** for system configurations and data management.
+        # - Go to **Knowledge Base Explorer** to explore and manage knowledge entries.
+        # """)
         st.markdown("""
-        - Select **Admin Portal** for system configurations and data management.
-        - Go to **Knowledge Base Explorer** to explore and manage knowledge entries.
+        ### 👋 Welcome to the Yuvabe Care Companion AI!
+        This platform offers comprehensive tools to support your healthcare journey. Use the tabs above to navigate:
+        """)
+
+        # Feature Overview Section
+        st.markdown("""
+        ### 🔹 Key Features
+        - **Admin Portal** — Manage records, data, and configurations efficiently.
+        - **Knowledge Base Explorer** — Leverage advanced vector search to find relevant knowledge entries with precision.
+        - **Patient Assistance** — Personalized guidance to help patients describe their concerns.
+
+        > 💡 *Explore each section for detailed functionality.*
         """)
 
     with Admin_Portal:

src/frontend/pages/Admin_Portal.py

@@ -1,12 +1,11 @@
 import streamlit as st
 from app import pinecone_data_handler
 
+# Page Configuration
+# st.set_page_config(page_title="Admin Portal", page_icon="🔒", layout="wide")
 def render_admin_portal():
     """Renders the Admin Portal page with improved UI and navigation."""
     
-    # Page Configuration
-    st.set_page_config(page_title="Admin Portal", page_icon="🔒", layout="wide")
-
     # Header Section
     st.title("🔒 Admin Portal")
     st.markdown("""
@@ -33,6 +32,7 @@ def render_admin_portal():
     # Sidebar for Navigation
     st.sidebar.title("🔀 Navigation")
     st.sidebar.markdown("[🏠 Home](http://localhost:8501)", unsafe_allow_html=True)
+    st.sidebar.markdown("[🔒 Knowledge Base](http://localhost:8501/Knowledge_Base_Explorer)", unsafe_allow_html=True)
 
 # Call the function to render the Admin Portal
 if __name__ == "__main__":