Update app.py

app.py

@@ -72,6 +72,14 @@ def lookup_crs_value(crs_key):
 ###########################################
 # RAG Answer function (Change 1 & 2 & 3)
 ###########################################
+# ToDo move functions to utils and model specifications to config file!
+# Configuration for the dedicated model
+#https://qu2d8m6dmsollhly.us-east-1.aws.endpoints.huggingface.cloud
+DEDICATED_MODEL = "meta-llama/Llama-3.1-8B-Instruct"
+DEDICATED_ENDPOINT = "https://nwea79x4q1clc89l.eu-west-1.aws.endpoints.huggingface.cloud"
+# Write access token from the settings
+WRITE_ACCESS_TOKEN = st.secrets["Llama_3_1"]
+
 def get_rag_answer(query, top_results):
     # Build context from each top result using title, objectives, and description.
     context = "\n\n".join([build_context_for_result(res) for res in top_results])
@@ -119,6 +127,20 @@ def get_crs_options(_client, collection_name):
             crs_set.add(crs_combined)
     return sorted(crs_set)
 
+@st.cache_data
+def load_project_data():
+    # Load your full project DataFrame using your processing function.
+    return process_giz_worldwide()
+
+# Load the project data (cached)
+project_data = load_project_data()
+
+# Convert the 'total_project' column to numeric (dropping errors) and compute min and max.
+# The budget is assumed to be in euros, so we convert to million euros.
+budget_series = pd.to_numeric(project_data['total_project'], errors='coerce').dropna()
+min_budget_val = float(budget_series.min() / 1e6)
+max_budget_val = float(budget_series.max() / 1e6)
+
 ###########################################
 # Revised filter_results with budget filtering (Change 7 & 9)
 ###########################################
@@ -204,8 +226,8 @@ with col_about:
 ###########################################
 # Query input and budget slider (Change 9)
 ###########################################
-var = st.text_input("Enter Search Question")
-min_budget = st.slider("Minimum Project Budget (Million €)", min_value=0.0, max_value=100.0, value=0.0)
+var = st.text_input("Enter Question")
+
 
 ###########################################
 # Load region lookup CSV
@@ -261,7 +283,7 @@ country_name_mapping, iso_code_to_sub_region = get_country_name_and_region_mappi
 unique_country_names = sorted(country_name_mapping.keys())
 
 # Layout filter columns
-col1, col2, col3, col4 = st.columns([1, 1, 1, 1])
+col1, col2, col3, col4, col5 = st.columns([1, 1, 1, 1, 1])
 with col1:
     region_filter = st.selectbox("Region", ["All/Not allocated"] + sorted(unique_sub_regions))
 if region_filter == "All/Not allocated":
@@ -277,6 +299,14 @@ with col3:
 with col4:
     crs_options = ["All/Not allocated"] + get_crs_options(client, collection_name)
     crs_filter = st.selectbox("CRS", crs_options)
+with col5:    
+    # Now use these values as the slider range:
+    min_budget = st.slider(
+        "Minimum Project Budget (Million €)",
+        min_value=min_budget_val,
+        max_value=max_budget_val,
+        value=min_budget_val)
+    
 
 # Checkbox for exact matches
 show_exact_matches = st.checkbox("Show only exact matches", value=False)