Update app.py

app.py

@@ -9,13 +9,9 @@ from hyperrag import build_graph
 from analysis import answer
 from discourse_graph import add_claim, detect_greenwashing
 
+st.set_page_config(layout="wide")
 
-st.set_page_config(
-    page_title="ESG HyperRAG Platform",
-    layout="wide"
-)
-
-st.title("🌍 ESG HyperRAG Intelligence Platform")
+st.title("🌱 ESG HyperRAG Analyzer")
 
 st.sidebar.header("Upload ESG Report")
 
@@ -25,87 +21,66 @@ company = st.sidebar.text_input("Company")
 
 sector = st.sidebar.text_input("Sector")
 
-
-if st.sidebar.button("Analyze Report"):
+if st.sidebar.button("Analyze"):
 
     if file and company and sector:
 
         text = extract_text(file)
 
-        scope1 = extract_scope(text,1)
-
-        scope2 = extract_scope(text,2)
-
-        scope3 = extract_scope(text,3)
+        s1 = extract_scope(text,1)
+        s2 = extract_scope(text,2)
+        s3 = extract_scope(text,3)
 
         revenue = extract_revenue(text)
 
-        intensity = carbon_intensity(scope1, revenue)
+        intensity = carbon_intensity(s1,revenue)
 
         index_doc(text,{
             "company":company,
             "sector":sector,
-            "scope1":scope1,
-            "scope2":scope2,
-            "scope3":scope3,
-            "revenue":revenue,
-            "carbon_intensity":intensity
+            "scope1":s1,
+            "scope2":s2,
+            "scope3":s3,
+            "intensity":intensity
         })
 
         build_graph([text])
 
-        add_claim(company,"low emissions",f"Scope1 {scope1}")
+        add_claim(company,"low emissions",f"Scope1 {s1}")
 
-        st.success("Report processed successfully")
+        st.success("Report processed")
 
         df = pd.DataFrame({
-
             "Scope":["Scope1","Scope2","Scope3"],
-
-            "Value":[scope1,scope2,scope3]
-
+            "Value":[s1,s2,s3]
         })
 
-        fig = px.bar(
-
-            df,
-
-            x="Scope",
-
-            y="Value",
-
-            color="Scope",
-
-            title="Emission Breakdown"
-
-        )
+        fig = px.bar(df,x="Scope",y="Value",color="Scope")
 
         st.plotly_chart(fig,use_container_width=True)
 
         st.metric("Carbon Intensity", intensity)
 
 
-st.header("🔎 HyperRAG ESG Query")
-
-query = st.text_input("Ask ESG question")
+st.header("🔎 HyperRAG Query")
 
-if st.button("Run Query"):
+q = st.text_input("Ask ESG question")
 
-    result = answer(query)
+if st.button("Search"):
 
-    st.text(result)
+    st.text(answer(q))
 
 
 st.header("🚨 Greenwashing Detection")
 
-if st.button("Check Greenwashing"):
+if st.button("Check"):
 
     issues = detect_greenwashing()
 
     if issues:
 
-        st.error(f"Potential contradictions detected: {issues}")
+        st.error(f"Potential contradictions: {issues}")
 
     else:
 
-        st.success("No contradictions detected")
+        st.success("No greenwashing detected")