Update app.py

app.py

@@ -1,161 +1,40 @@
-import streamlit as st
-import os
-import time
-import re
-import json
-import requests
-from PIL import Image
-from openai import OpenAI
-from io import BytesIO
-
-# ------------------ App Configuration ------------------
-st.set_page_config(page_title="Document AI Assistant", layout="wide")
-st.title("📄 Document AI Assistant")
-st.caption("Chat with an AI Assistant on your medical/pathology documents")
-
-# ------------------ Load API Key and Assistant ID ------------------
-OPENAI_API_KEY = os.environ.get("OPENAI_API_KEY")
-ASSISTANT_ID = os.environ.get("ASSISTANT_ID")
-
-if not OPENAI_API_KEY or not ASSISTANT_ID:
-    st.error("Missing secrets. Please ensure both OPENAI_API_KEY and ASSISTANT_ID are set in your Hugging Face Space secrets.")
-    st.stop()
-
-client = OpenAI(api_key=OPENAI_API_KEY)
-
-# ------------------ Load Structured JSON ------------------
-STRUCTURED_JSON_PATH = "51940670-Manual-of-Surgical-Pathology-Third-Edition_1_structured_output.json"
-try:
-    with open(STRUCTURED_JSON_PATH, "r") as f:
-        structured_data = json.load(f)
-except Exception as e:
-    st.error(f"❌ Failed to load structured summary file: {e}")
-    st.stop()
-
-# ------------------ Session State Initialization ------------------
-if "messages" not in st.session_state:
-    st.session_state.messages = []
-if "thread_id" not in st.session_state:
-    st.session_state.thread_id = None
-if "image_url" not in st.session_state:
-    st.session_state.image_url = None
-if "image_updated" not in st.session_state:
-    st.session_state.image_updated = False
-
-# ------------------ Sidebar Controls ------------------
-st.sidebar.header("🔧 Settings")
-if st.sidebar.button("🔄 Clear Chat"):
-    st.session_state.messages = []
-    st.session_state.thread_id = None
-    st.session_state.image_url = None
-    st.session_state.image_updated = False
-    st.rerun()
-
-show_image = st.sidebar.checkbox("📖 Show Document Image", value=True)
-
-# ------------------ Layout ------------------
-left, center, right = st.columns([1, 2, 1])
-
-# ------------------ Left Column: Document Image ------------------
-with left:
-    st.subheader("📄 Document Image")
-    if show_image and st.session_state.image_url:
-        try:
-            image = Image.open(requests.get(st.session_state.image_url, stream=True).raw)
-            st.image(image, caption="📑 Extracted Page", use_container_width=True)
-            st.session_state.image_updated = False
-        except Exception as e:
-            st.warning("⚠️ Could not load image.")
-
-# ------------------ Center Column: Chat UI ------------------
-with center:
-    st.subheader("💬 Document AI Assistant")
-    for message in st.session_state.messages:
-        role, content = message["role"], message["content"]
-        st.chat_message(role).write(content)
-
-    if prompt := st.chat_input("Type your question about the document..."):
-        st.session_state.messages.append({"role": "user", "content": prompt})
-        st.chat_message("user").write(prompt)
-
-        try:
-            if st.session_state.thread_id is None:
-                thread = client.beta.threads.create()
-                st.session_state.thread_id = thread.id
-
-            thread_id = st.session_state.thread_id
-
-            client.beta.threads.messages.create(
-                thread_id=thread_id,
-                role="user",
-                content=prompt
-            )
-
-            run = client.beta.threads.runs.create(
-                thread_id=thread_id,
-                assistant_id=ASSISTANT_ID
-            )
-
-            with st.spinner("Assistant is thinking..."):
-                while True:
-                    run_status = client.beta.threads.runs.retrieve(
-                        thread_id=thread_id,
-                        run_id=run.id
-                    )
-                    if run_status.status == "completed":
-                        break
-                    time.sleep(1)
-
-            messages = client.beta.threads.messages.list(thread_id=thread_id)
-            assistant_message = None
-            for message in reversed(messages.data):
-                if message.role == "assistant":
-                    assistant_message = message.content[0].text.value
-                    break
-
-            st.chat_message("assistant").write(assistant_message)
-            st.session_state.messages.append({"role": "assistant", "content": assistant_message})
-
-            # Extract GitHub image URL
-            image_match = re.search(
-                r'https://raw\.githubusercontent\.com/AndrewLORTech/surgical-pathology-manual/main/[\w\-/]*\.png',
-                assistant_message
-            )
-            if image_match:
-                st.session_state.image_url = image_match.group(0)
-                st.session_state.image_updated = True
-                st.rerun()
-
-        except Exception as e:
-            st.error(f"❌ Error: {str(e)}")
-
-# ------------------ Right Column: Structured Summary + FAQ ------------------
+# ------------------ Right Column: Structured Summary + FAQ (with Buttons) ------------------
 with right:
     st.subheader("📌 Summary & FAQ (from Structured Data)")
 
-    summary_text = "No image selected or page not found."
+    # Controls
+    col1, col2 = st.columns(2)
+    show_summary = col1.button("📝 Load Summary")
+    show_faq = col2.button("❓ Load FAQ")
+
+    summary_text = "Click the button to load summary."
     faq_list = []
 
     if st.session_state.image_url:
         match = re.search(r'/(\d{3})\.png', st.session_state.image_url)
         if match:
-            page_number = int(match.group(1))  # ✅ Must be int to match JSON
+            page_number = int(match.group(1))
             page_entry = next((entry for entry in structured_data if entry.get("page_number") == page_number), None)
-            if page_entry:
-                summary_text = page_entry.get("summary", "No summary available.")
-                faq_list = page_entry.get("faqs", []) or page_entry.get("questions", [])
-
-    # Summary Output
-    st.subheader("📝 Summary")
-    st.markdown(summary_text)
 
-    # FAQs Output
-    st.subheader("❓ Auto-Generated FAQ")
-    if faq_list:
-        for faq in faq_list:
-            if isinstance(faq, dict):  # for {"question": "...", "answer": "..."}
-                st.markdown(f"**Q:** {faq.get('question', '')}\n\n**A:** {faq.get('answer', '')}")
-            else:  # fallback if it's just a list of questions
-                st.markdown(f"**Q:** {faq}")
-    else:
-        st.info("No FAQs available for this page.")
+            if page_entry:
+                if show_summary:
+                    summary_text = page_entry.get("summary", "No summary available.")
+                if show_faq:
+                    faq_list = page_entry.get("faqs", []) or page_entry.get("questions", [])
+
+    # Display Summary
+    if show_summary:
+        st.subheader("📝 Summary")
+        st.markdown(summary_text)
+
+    # Display FAQs
+    if show_faq:
+        st.subheader("❓ Auto-Generated FAQ")
+        if faq_list:
+            for faq in faq_list:
+                if isinstance(faq, dict):
+                    st.markdown(f"**Q:** {faq.get('question', '')}\n\n**A:** {faq.get('answer', '')}")
+                else:
+                    st.markdown(f"**Q:** {faq}")
+        else:
+            st.info("No FAQs available for this page.")