re-old one need UI change

README.md

@@ -1,6 +1,6 @@
 ---
-title: LexPilot
-emoji: "🧭"
+title: DocAnalyzer Pro
+emoji: "📄"
 colorFrom: blue
 colorTo: blue
 sdk: streamlit
@@ -9,4 +9,4 @@ app_file: app.py
 pinned: false
 ---
 
-LexPilot™ ingests text, PDF, and Word files to instantly analyze contracts, providing concise summaries and targeted Q&A for fast, precise legal and procurement insights.
+DocAnalyzer Pro is a Streamlit app for document question answering and summarization using Hugging Face Transformers.

app.py

@@ -3,6 +3,10 @@ os.environ["STREAMLIT_SERVER_PORT"] = "8501"
 os.environ["STREAMLIT_SERVER_HEADLESS"] = "true"
 
 import streamlit as st
+st.set_page_config(page_title="DocAnalyzer Pro", layout="wide")
+
+st.write("Step 1: Imports done")
+
 from transformers import pipeline
 from PyPDF2 import PdfReader
 import docx
@@ -11,34 +15,13 @@ import psutil
 from pathlib import Path
 import torch
 
-# Page config with wide layout
-st.set_page_config(page_title="LexPilot", layout="wide")
-
-# Sidebar with project info
-with st.sidebar:
-    st.title("LexPilot™")
-    st.markdown(
-        """
-        LexPilot™ ingests text, PDF, and Word files to instantly analyze contracts.  
-        It delivers concise summaries and lets you ask targeted questions—  
-        giving fast, precise insights to speed up legal and procurement reviews.
-        """
-    )
-    st.markdown("---")
-    st.write("### System Status")
-    try:
-        device_status = 'GPU ✅' if torch.cuda.is_available() else 'CPU ⚠️'
-    except:
-        device_status = 'CPU (torch not configured)'
-    st.text(f"Device: {device_status}")
-    st.text(f"Memory: {psutil.virtual_memory().percent}% used")
-    st.text(f"CPU: {psutil.cpu_percent()}% used")
+st.write("Step 2: Libraries imported")
 
-# Setup cache directory for models
 def setup_environment():
     cache_dir = Path(".cache/models")
     try:
         cache_dir.mkdir(exist_ok=True, parents=True)
+        st.write(f"Step 3: Cache directory setup at {cache_dir}")
     except Exception as e:
         st.error(f"Failed to create cache directory: {e}")
     return cache_dir
@@ -48,19 +31,23 @@ cache_dir = setup_environment()
 @st.cache_resource(ttl=3600)
 def load_models():
     try:
+        st.info("Loading QA model...")
         qa_model = pipeline(
             "question-answering",
             model="distilbert-base-cased-distilled-squad",
             device=-1
         )
+        st.info("QA model loaded.")
+        st.info("Loading summarizer model...")
         summarizer_model = pipeline(
             "summarization",
-            model="sshleifer/distilbart-cnn-6-6",
+            model="sshleifer/distilbart-cnn-6-6",  # smaller model for faster startup
             device=-1
         )
+        st.info("Summarizer model loaded.")
         return {'qa': qa_model, 'summarizer': summarizer_model}
     except Exception as e:
-        st.error(f"Failed to load models: {e}")
+        st.error(f"❌ Failed to load models: {e}")
         st.stop()
 
 models = load_models()
@@ -101,8 +88,8 @@ def generate_summary(text, max_length=150):
         st.error(f"Summarization failed: {e}")
         return ""
 
-# Main UI title
-st.title("📄 LexPilot")
+st.title("📄 DocAnalyzer Pro")
+st.write("Step 4: UI started")
 
 with st.expander("📤 Upload Document", expanded=True):
     uploaded_file = st.file_uploader("Choose PDF/DOCX", type=["pdf", "docx"])
@@ -141,7 +128,15 @@ with tab2:
                         st.success(f"Generated in {time.time()-start_time:.1f}s")
                         st.markdown(f"**Summary:**\n\n{summary}")
 
-# Show cache dir path in sidebar (optional)
-with st.sidebar:
-    st.markdown("---")
-    st.write(f"Cache directory: {cache_dir}")
+with st.expander("⚙️ System Status"):
+    try:
+        device_status = 'GPU ✅' if torch.cuda.is_available() else 'CPU ⚠️'
+    except:
+        device_status = 'CPU (torch not configured)'
+    st.code(f"""
+Models loaded: {', '.join(models.keys())}
+Device: {device_status}
+Memory: {psutil.virtual_memory().percent}% used
+CPU: {psutil.cpu_percent()}% used
+Cache location: {cache_dir}
+""")