Delete pages/pages

pages/pages/BulkDigest.py

@@ -1,75 +0,0 @@
-import streamlit as st
-import os, hashlib, re
-from utils.file_utils import normalize_log_line
-from utils.summarizer import summarize_text
-from utils.docgen import generate_doc
-
-st.title("📂 AI Bulk Digest")
-st.write("Upload multiple files for batch digestion, summarization, and documentation.")
-
-# Init counters
-if "uploaded_files" not in st.session_state:
-    st.session_state.uploaded_files = []
-if "errors" not in st.session_state:
-    st.session_state.errors = []
-if "bulk_digests" not in st.session_state:
-    st.session_state.bulk_digests = []
-
-uploads = st.file_uploader(
-    "Upload files (scripts, logs, text, PDFs)", 
-    type=["py", "sh", "txt", "log", "pdf"], 
-    accept_multiple_files=True
-)
-
-if uploads:
-    digests = []
-    for f in uploads:
-        try:
-            content = f.read().decode("utf-8", errors="ignore")
-            sha1 = hashlib.sha1(content.encode()).hexdigest()
-
-            # Detect type
-            is_log = f.name.endswith(".log")
-            is_script = f.name.endswith(".py") or f.name.endswith(".sh")
-
-            # Normalize logs
-            if is_log:
-                normalized = [normalize_log_line(line) for line in content.splitlines()]
-                preview = "\n".join(normalized[:30])
-            else:
-                preview = "\n".join(content.splitlines()[:30])
-
-            # AI summary
-            summary = summarize_text(content)
-
-            # Script docs if applicable
-            doc = generate_doc(f.name, "uploaded", content) if is_script else None
-
-            result = {
-                "name": f.name,
-                "sha1": sha1,
-                "preview": preview,
-                "summary": summary,
-                "doc": doc,
-            }
-            digests.append(result)
-
-            # Track upload
-            st.session_state.uploaded_files.append(f.name)
-
-            # Display in UI
-            st.subheader(f"📄 {f.name}")
-            st.code(preview)
-            st.markdown(f"**SHA1:** `{sha1}`")
-            st.write("🧠 **Summary:**", summary)
-            if doc:
-                st.write("📘 **Generated Documentation:**")
-                st.markdown(doc)
-
-        except Exception as e:
-            st.error(f"⚠️ Error processing {f.name}: {e}")
-            st.session_state.errors.append(str(e))
-
-    # Save to session state for Chatbot
-    st.session_state.bulk_digests = digests
-    st.success(f"✅ Bulk digestion complete for {len(digests)} files.")