Spaces:
Sleeping
Sleeping
fix: defer rag_pipeline import to inside @spaces.GPU worker — eliminates CUDA init error on zero-a10g
Browse files
app.py
CHANGED
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@@ -2,32 +2,31 @@
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import os
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import sys
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from threading import Thread
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))
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import gradio as gr
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print("=" * 55)
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print("AETHRON PORTFOLIO AGENT — CPU Mode")
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print("=" * 55)
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#
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# Never called — all inference runs on CPU.
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@spaces.GPU(duration=120)
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def _gpu_placeholder() -> str:
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return "CPU-only mode"
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# Lazy-load pipeline on first query (model on CPU)
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_pipeline = None
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def get_pipeline():
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global _pipeline
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if _pipeline is None:
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print("Loading pipeline on CPU (first query only)...")
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_pipeline = AethronPipeline(
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build_index=not os.path.exists("data/index/faiss.index")
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@@ -35,28 +34,45 @@ def get_pipeline():
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return _pipeline
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return history
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pipeline = get_pipeline()
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result = pipeline.query(message.strip())
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response = result["answer"]
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if result["sources"]:
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source_names = []
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for s in result["sources"][:3]:
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name = s["section"].replace("_", " ").title()
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if "Summary" in name:
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name = name.replace("Summary", "(Summary)")
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source_names.append(name)
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response += "\n\n**Sources:** " + " | ".join(source_names)
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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return history
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def clear_chat():
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return []
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CUSTOM_CSS = """
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@@ -117,7 +133,7 @@ with gr.Blocks(css=CUSTOM_CSS, title="Aethron | Chat with Arash's Portfolio") as
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msg_input.submit(respond, [msg_input, chatbot], [chatbot])
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send_btn.click(respond, [msg_input, chatbot], [chatbot])
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clear_btn.click(
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gr.Markdown("""
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---
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import os
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import sys
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sys.path.insert(0, os.path.join(os.path.dirname(__file__), "src"))
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import gradio as gr
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try:
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import spaces
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import spaces.zero
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from spaces.zero import torch as spaces_torch
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spaces_torch.patch()
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except ImportError:
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spaces = None
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print("=" * 55)
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print("AETHRON PORTFOLIO AGENT — CPU Mode")
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print("=" * 55)
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# Lazy-loaded inside @spaces.GPU context to avoid CUDA init in main process
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_pipeline = None
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def get_pipeline():
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global _pipeline
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if _pipeline is None:
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from rag_pipeline import AethronPipeline
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print("Loading pipeline on CPU (first query only)...")
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_pipeline = AethronPipeline(
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build_index=not os.path.exists("data/index/faiss.index")
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return _pipeline
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if spaces is not None:
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@spaces.GPU(duration=120)
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def respond(message, history):
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if not message or not message.strip():
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return history
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pipeline = get_pipeline()
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result = pipeline.query(message.strip())
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response = result["answer"]
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if result["sources"]:
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source_names = []
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for s in result["sources"][:3]:
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name = s["section"].replace("_", " ").title()
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if "Summary" in name:
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name = name.replace("Summary", "(Summary)")
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source_names.append(name)
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response += "\n\n**Sources:** " + " | ".join(source_names)
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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return history
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else:
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from rag_pipeline import AethronPipeline
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def respond(message, history):
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if not message or not message.strip():
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return history
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pipeline = get_pipeline()
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result = pipeline.query(message.strip())
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response = result["answer"]
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if result["sources"]:
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source_names = []
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for s in result["sources"][:3]:
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name = s["section"].replace("_", " ").title()
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if "Summary" in name:
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name = name.replace("Summary", "(Summary)")
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source_names.append(name)
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response += "\n\n**Sources:** " + " | ".join(source_names)
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history.append({"role": "user", "content": message})
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history.append({"role": "assistant", "content": response})
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return history
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CUSTOM_CSS = """
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msg_input.submit(respond, [msg_input, chatbot], [chatbot])
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send_btn.click(respond, [msg_input, chatbot], [chatbot])
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clear_btn.click(lambda: [], None, [chatbot], queue=False)
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gr.Markdown("""
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---
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