Auto: deploy Nuclear Intelligence v5.0

app.py

@@ -31,10 +31,12 @@ PORT = int(os.getenv("GRADIO_PORT", "7860"))
 
 # ─── Try Imports with Fallbacks ─────────────────────────────────
 gradio_available = False
+logger = None  # explicit init to satisfy NameError-on-attribute paths
 try:
     import gradio as gr
     import pandas as pd
-    from loguru import logger
+    from loguru import logger as _loguru_logger
+    logger = _loguru_logger
     import plotly.express as px
     gradio_available = True
 except ImportError as e:
@@ -48,6 +50,16 @@ try:
 except Exception:
     pass
 
+# ── Logger fallback (must exist even if loguru import failed) ────
+if logger is None:
+    import logging as _logging
+    logger = _logging.getLogger("hf_deploy")
+    if not logger.handlers:
+        _h = _logging.StreamHandler()
+        _h.setFormatter(_logging.Formatter("%(asctime)s | %(levelname)s | %(message)s"))
+        logger.addHandler(_h)
+        logger.setLevel(_logging.INFO)
+
 
 # ═══════════════════════════════════════════════════════════════════
 # LLM ENGINE — Real multi-provider with intelligent fallback
@@ -1404,80 +1416,87 @@ CSS = """
 .rejected { color: #ef4444; }
 """
 
-with gr.Blocks(title="Nuclear Intelligence v5.0") as demo:
-    gr.Markdown("# ⚛️ Nuclear Intelligence v5.0", elem_id="title")
-    gr.Markdown(
-        "**Autonomous nuclear energy research → multi-layer evaluation → SHA-3 PoW mining → NES token**\n\n"
-        "All research is produced by real LLMs. Evaluation is independent. Mining is real Proof-of-Work."
-    )
+demo = None
+if gradio_available:
+    with gr.Blocks(title="Nuclear Intelligence v5.0") as demo:
+        gr.Markdown("# ⚛️ Nuclear Intelligence v5.0", elem_id="title")
+        gr.Markdown(
+            "**Autonomous nuclear energy research → multi-layer evaluation → SHA-3 PoW mining → NES token**\n\n"
+            "All research is produced by real LLMs. Evaluation is independent. Mining is real Proof-of-Work."
+        )
 
-    with gr.Row():
-        with gr.Column(scale=1):
-            stats_box = gr.Markdown(get_system_stats)
-            refresh_stats = gr.Button("🔄 Refresh Stats", variant="secondary")
-            export_btn = gr.Button("💾 Export State")
-            export_out = gr.Markdown()
-
-            with gr.Accordion("🔌 LLM Engine", open=False):
-                llm_status = gr.Markdown(get_llm_status)
-                refresh_llm = gr.Button("📡 Check Providers")
-
-        with gr.Column(scale=3):
-            with gr.Tabs():
-                with gr.Tab("🚀 Research Center"):
-                    with gr.Row():
-                        run_btn = gr.Button("🚀 Run Research Cycle", variant="primary")
-                        dev_chk = gr.Checkbox(label="Developer Mode", value=True)
-                        sync_chk = gr.Checkbox(label="Sync to HF Dataset", value=True)
-                    cycle_out = gr.Markdown("### Click button to start research...")
-
-                    with gr.Accordion("🔍 Manual Q&A", open=False):
-                        q_input = gr.Textbox(
-                            label="Ask a nuclear question",
-                            placeholder="e.g. How do molten salt reactors handle tritium breeding?",
-                        )
-                        q_btn = gr.Button("Search & Answer")
-                        q_out = gr.Markdown()
-
-                with gr.Tab("⛓️ Blockchain"):
-                    verify_btn = gr.Button("⛓️ Verify Ledger Integrity")
-                    verify_out = gr.Markdown()
-                    gr.Markdown("### Latest Transactions")
-                    chain_table = gr.DataFrame(get_chain_df)
-
-                with gr.Tab("🕸️ Knowledge Graph"):
-                    search_input = gr.Textbox(label="Search", placeholder="e.g. fusion, reactor, safety")
-                    limit_input = gr.Slider(label="Limit", minimum=1, maximum=50, value=10, step=1)
-                    search_btn = gr.Button("Search")
-                    search_out = gr.Markdown()
-                    gr.Markdown("### Latest Entities")
-                    entities_table = gr.DataFrame(get_entities_df)
-
-                with gr.Tab("📈 Analytics"):
-                    with gr.Row():
-                        chart1 = gr.Plot(get_category_chart)
-                        chart2 = gr.Plot(get_score_chart)
-                    gr.Markdown("### Recent Cycles")
-                    history_table = gr.DataFrame(get_history_df)
-
-    # Event handlers
-    refresh_stats.click(get_system_stats, outputs=stats_box)
-    refresh_llm.click(get_llm_status, outputs=llm_status)
-    run_btn.click(run_cycle, inputs=[dev_chk, sync_chk], outputs=cycle_out)
-    q_btn.click(ask_q, inputs=[q_input, dev_chk], outputs=q_out)
-    verify_btn.click(verify_chain, outputs=verify_out)
-    search_btn.click(search_kg, inputs=[search_input, limit_input], outputs=search_out)
-    export_btn.click(export_state, outputs=export_out)
-
-    # Auto-refresh handled client-side via gradio's built-in mechanisms
-    # gr.Timer() is only available in gradio>=4.40, so we leave this for the
-    # user to refresh manually via the button. The /keep_alive workflow on
-    # GitHub Actions handles external liveness.
+        with gr.Row():
+            with gr.Column(scale=1):
+                stats_box = gr.Markdown(get_system_stats)
+                refresh_stats = gr.Button("🔄 Refresh Stats", variant="secondary")
+                export_btn = gr.Button("💾 Export State")
+                export_out = gr.Markdown()
+
+                with gr.Accordion("🔌 LLM Engine", open=False):
+                    llm_status = gr.Markdown(get_llm_status)
+                    refresh_llm = gr.Button("📡 Check Providers")
+
+            with gr.Column(scale=3):
+                with gr.Tabs():
+                    with gr.Tab("🚀 Research Center"):
+                        with gr.Row():
+                            run_btn = gr.Button("🚀 Run Research Cycle", variant="primary")
+                            dev_chk = gr.Checkbox(label="Developer Mode", value=True)
+                            sync_chk = gr.Checkbox(label="Sync to HF Dataset", value=True)
+                        cycle_out = gr.Markdown("### Click button to start research...")
+
+                        with gr.Accordion("🔍 Manual Q&A", open=False):
+                            q_input = gr.Textbox(
+                                label="Ask a nuclear question",
+                                placeholder="e.g. How do molten salt reactors handle tritium breeding?",
+                            )
+                            q_btn = gr.Button("Search & Answer")
+                            q_out = gr.Markdown()
+
+                    with gr.Tab("⛓️ Blockchain"):
+                        verify_btn = gr.Button("⛓️ Verify Ledger Integrity")
+                        verify_out = gr.Markdown()
+                        gr.Markdown("### Latest Transactions")
+                        chain_table = gr.DataFrame(get_chain_df)
+
+                    with gr.Tab("🕸️ Knowledge Graph"):
+                        search_input = gr.Textbox(label="Search", placeholder="e.g. fusion, reactor, safety")
+                        limit_input = gr.Slider(label="Limit", minimum=1, maximum=50, value=10, step=1)
+                        search_btn = gr.Button("Search")
+                        search_out = gr.Markdown()
+                        gr.Markdown("### Latest Entities")
+                        entities_table = gr.DataFrame(get_entities_df)
+
+                    with gr.Tab("📈 Analytics"):
+                        with gr.Row():
+                            chart1 = gr.Plot(get_category_chart)
+                            chart2 = gr.Plot(get_score_chart)
+                        gr.Markdown("### Recent Cycles")
+                        history_table = gr.DataFrame(get_history_df)
+
+        # Event handlers
+        refresh_stats.click(get_system_stats, outputs=stats_box)
+        refresh_llm.click(get_llm_status, outputs=llm_status)
+        run_btn.click(run_cycle, inputs=[dev_chk, sync_chk], outputs=cycle_out)
+        q_btn.click(ask_q, inputs=[q_input, dev_chk], outputs=q_out)
+        verify_btn.click(verify_chain, outputs=verify_out)
+        search_btn.click(search_kg, inputs=[search_input, limit_input], outputs=search_out)
+        export_btn.click(export_state, outputs=export_out)
+
+        # Auto-refresh stats every 30s
+        timer = gr.Timer(30)
+        timer.tick(get_system_stats, outputs=stats_box)
+        timer.tick(get_chain_df, outputs=chain_table)
+        timer.tick(get_entities_df, outputs=entities_table)
+        timer.tick(get_history_df, outputs=history_table)
 
 
 if __name__ == "__main__":
-    try:
-        demo.launch(server_name="0.0.0.0", server_port=PORT, css=CSS)
-    except TypeError:
-        # Gradio 6.0+ deprecated css in launch() too; pass only valid kwargs
-        demo.launch(server_name="0.0.0.0", server_port=PORT)
+    if demo is not None:
+        try:
+            demo.launch(server_name="0.0.0.0", server_port=PORT, css=CSS)
+        except TypeError:
+            # Gradio 6.0+ deprecated css in launch() too; pass only valid kwargs
+            demo.launch(server_name="0.0.0.0", server_port=PORT)
+    else:
+        print("⚠️ Gradio not available; cannot launch UI. Run via 'huggingface_hub' sync or programmatic import.")

requirements.txt

@@ -1,15 +1,13 @@
-# Nuclear Intelligence v5.0 - HuggingFace Space Requirements
-# Pin huggingface-hub<0.26 for HfFolder compatibility with gradio
+# Nuclear Intelligence v4.0 - HuggingFace Space Requirements
+# Optimized for HF Spaces (Python 3.11, Docker)
+# Keep minimal: install size and build time matter.
 
-# Core Framework (HF Spaces installs gradio 4.36.0 automatically)
-gradio>=4.36.0
-
-# Data
-pandas>=2.0.0
-numpy>=1.26.0
+# Core Framework
+gradio>=4.36.0,<5.0.0
+pandas>=2.2.0,<3.0.0
 
 # LLM & API
-openai>=1.12.0
+openai>=1.12.0,<2.0.0
 httpx>=0.27.0
 requests>=2.31.0
 python-dotenv>=1.0.0
@@ -21,8 +19,8 @@ cryptography>=42.0.0
 loguru>=0.7.2
 plotly>=5.19.0
 
-# HuggingFace - MUST be <0.26 for HfFolder (required by gradio 4.36)
-huggingface-hub>=0.22.0,<0.26
+# HuggingFace
+huggingface-hub>=0.22.0
 
-# GitHub sync
+# PyGithub used by sync_huggingface.py (imported lazily)
 PyGithub>=2.3.0