Delete app.py

app.py

@@ -1,158 +0,0 @@
-"""app.py — Compact Gradio + Mistral + BERTopic. Version 2.1.0 | 4 April 2026. ZERO for/while/if.
-
-FUNCTIONS IN THIS FILE:
-  _latest_output()  — Scans /tmp for newest rq4_* file → feeds download button
-  respond()         — Core chat handler: takes message + history + file → yields agent response
-  gr.Blocks()       — One-page UI: header + upload + chatbot + input + download
-"""
-import os
-import glob
-import gradio as gr
-from langchain_mistralai import ChatMistralAI
-from langgraph.prebuilt import create_react_agent
-from langgraph.checkpoint.memory import MemorySaver
-from agent import SYSTEM_PROMPT, get_local_tools
-
-print(">>> app.py: imports complete")
-
-# ═══════════════════════════════════════════════
-# AGENT SETUP — Mistral brain + 5 BERTopic tools
-# ═══════════════════════════════════════════════
-llm = ChatMistralAI(model="mistral-small-latest", temperature=0, timeout=300)
-tools = get_local_tools()
-agent = create_react_agent(model=llm, tools=tools, prompt=SYSTEM_PROMPT, checkpointer=MemorySaver())
-print(f">>> app.py: agent ready ({len(tools)} tools, Mistral Large)")
-
-_msg_count = 0
-_uploaded = {"path": ""}
-
-# ═══════════════════════════════════════════════
-# COMPACT HEADER — fits in ~60px
-# ═══════════════════════════════════════════════
-HEADER_HTML = """
-<style>
-@import url('https://fonts.googleapis.com/css2?family=DM+Sans:wght@400;500;600;700&display=swap');
-.gradio-container {max-width: 900px !important; margin: 0 auto !important; font-family: 'DM Sans', sans-serif !important; padding: 8px !important;}
-footer {display: none !important;}
-</style>
-<div style="background: linear-gradient(135deg, #0f172a 0%, #1e293b 50%, #334155 100%); border-radius: 10px; padding: 12px 20px; margin-bottom: 8px; color: white;">
-    <div style="display: flex; align-items: center; gap: 12px;">
-        <span style="font-size: 1.5em;">🔬</span>
-        <div>
-            <div style="font-size: 1.1em; font-weight: 700; color: #e0e0ff;">BERTopic Research Discovery Agent</div>
-            <div style="font-size: 0.7em; color: #94a3b8;">Mistral Large 🇫🇷 · BERTopic HDBSCAN · 384d Embeddings · 5 Nearest Centroid · 4 Plotly Charts</div>
-        </div>
-    </div>
-</div>
-"""
-
-# ═══════════════════════════════════════════════
-# FUNCTION 1: Find latest output for download
-# ═══════════════════════════════════════════════
-def _latest_output():
-    """Scan /tmp for most recent rq4_* file (CSV, HTML, or TXT).
-    Returns filepath string or None. Fed to gr.File download component."""
-    files = sorted(glob.glob("/tmp/rq4_*.csv") + glob.glob("/tmp/rq4_*.html") + glob.glob("/tmp/rq4_*.txt"), key=os.path.getmtime)
-    return (files and files[-1]) or None
-
-
-# ═══════════════════════════════════════════════
-# FUNCTION 2: Chat handler — core of the app
-# ═══════════════════════════════════════════════
-def respond(message, chat_history, uploaded_file):
-    """Handle one chat turn:
-    1. Store uploaded file path (if new upload)
-    2. Append file context to message so agent knows where CSV is
-    3. Show progress bubble immediately (user sees instant feedback)
-    4. Invoke agent (Mistral brain decides which tools to call)
-    5. Replace progress bubble with agent's actual response
-    6. Update download link to latest output file
-
-    Uses per-message thread_id to prevent context overflow. State persists via disk checkpoints.
-    Agent asks clarification FIRST (via SYSTEM_PROMPT) before running heavy tools."""
-    global _msg_count
-    _msg_count += 1
-
-    # Store file path — no if/else, uses `or` short-circuit
-    _uploaded["path"] = uploaded_file or _uploaded.get("path", "")
-    file_note = f"\n[CSV file at: {_uploaded['path']}]" * bool(_uploaded["path"])
-    text = ((message or "").strip() or "Analyze my Scopus CSV") + file_note
-    print(f"\n{'='*60}\n>>> MSG #{_msg_count}: '{text[:100]}'\n{'='*60}")
-
-    # Yield progress bubble immediately — user sees instant response
-    chat_history = chat_history + [
-        {"role": "user", "content": (message or "").strip()},
-        {"role": "assistant", "content": "🔬 **Working...**  _Agent is thinking..._"},
-    ]
-    yield chat_history, "", _latest_output()
-
-    # Per-message thread_id to prevent context window overflow.
-    # WHY: MemorySaver accumulates ALL previous messages + tool outputs.
-    # After 3 turns with 100 topic labels each → 300K tokens → exceeds 262K limit.
-    # Tools save state to DISK (labels.json, themes.json, taxonomy_map.json).
-    # Agent reads from disk checkpoints, NOT conversation memory.
-    # Multi-turn works because disk state persists across messages.
-    result = agent.invoke(
-        {"messages": [("human", text)]},
-        config={"configurable": {"thread_id": f"t{_msg_count}"}},
-    )
-    response = result["messages"][-1].content
-    print(f">>> Response ({len(response)} chars)")
-
-    # Replace progress bubble with actual response
-    chat_history[-1] = {"role": "assistant", "content": response}
-    yield chat_history, "", _latest_output()
-
-
-# ═══════════════════════════════════════════════
-# UI LAYOUT — Everything fits ONE screen (~500px)
-#
-# ┌────────────────────────────────────┐
-# │ 🔬 BERTopic Agent (compact)       │  ~55px
-# ├────────────────────────────────────┤
-# │ [📂 Upload CSV]                   │  ~35px
-# ├────────────────────────────────────┤
-# │ 💬 Chat bubbles (cloud style)     │
-# │    User: "Analyze my data"        │  ~320px
-# │    Agent: "I found 1390 papers.   │
-# │     Which config? All 3?"         │
-# ├────────────────────────────────────┤
-# │ [Type message...          ] [⏎]   │  ~35px
-# ├────────────────────────────────────┤
-# │ 📥 Download                       │  ~35px
-# └────────────────────────────────────┘
-#   TOTAL: ~480px — fits any screen
-# ═══════════════════════════════════════════════
-print(">>> Building UI...")
-with gr.Blocks(title="BERTopic Research Discovery Agent") as demo:
-    gr.HTML(HEADER_HTML)
-
-    upload = gr.File(label="📂 Upload Scopus CSV", file_types=[".csv"], height=35)
-
-    chatbot = gr.Chatbot(height=300, show_label=False, placeholder="Upload CSV ↑ then click a quick action or type below")
-
-    with gr.Row():
-        msg = gr.Textbox(
-            placeholder="Or type: group 0 1 5 · re-run 15 · topic 2 looks wrong · approve",
-            show_label=False, scale=9, lines=1, max_lines=1, container=False)
-        send = gr.Button("⏎", variant="primary", scale=1, min_width=45)
-
-    gr.Examples(
-        examples=[
-            ["Run abstract only"],
-            ["Run all columns (title + keywords + abstract)"],
-            ["Run both configs"],
-            ["approve"],
-            ["Generate narrative"],
-        ],
-        inputs=msg,
-        label="⚡ Quick actions (click to populate textbox, then press ⏎)",
-    )
-
-    download = gr.File(label="📥 Download", visible=True, height=35)
-
-    msg.submit(respond, [msg, chatbot, upload], [chatbot, msg, download])
-    send.click(respond, [msg, chatbot, upload], [chatbot, msg, download])
-
-print(">>> Launching...")
-demo.launch(server_name="0.0.0.0", server_port=7860)