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Update app.py
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app.py
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@@ -1,4 +1,3 @@
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# app.py - FastAPI application
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import os
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import sys
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import json
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@@ -11,6 +10,14 @@ import torch
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from datetime import datetime
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from pydantic import BaseModel
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# Configuration
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persistent_dir = "/data/hf_cache"
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model_cache_dir = os.path.join(persistent_dir, "txagent_models")
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@@ -28,11 +35,6 @@ os.makedirs(report_dir, exist_ok=True)
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os.environ["HF_HOME"] = model_cache_dir
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os.environ["TRANSFORMERS_CACHE"] = model_cache_dir
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# Set up Python path
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current_dir = os.path.dirname(os.path.abspath(__file__))
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src_path = os.path.abspath(os.path.join(current_dir, "src"))
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sys.path.insert(0, src_path)
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# Request models
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class ChatRequest(BaseModel):
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message: str
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@@ -70,7 +72,9 @@ async def startup_event():
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global agent
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try:
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agent = init_agent()
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except Exception as e:
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raise RuntimeError(f"Failed to initialize agent: {str(e)}")
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def init_agent():
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import os
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import sys
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import json
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from datetime import datetime
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from pydantic import BaseModel
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# Add src directory to Python path
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current_dir = os.path.dirname(os.path.abspath(__file__))
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src_path = os.path.abspath(os.path.join(current_dir, "src"))
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sys.path.insert(0, src_path)
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# Now import TxAgent after adding to path
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from txagent.txagent import TxAgent
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# Configuration
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persistent_dir = "/data/hf_cache"
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model_cache_dir = os.path.join(persistent_dir, "txagent_models")
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os.environ["HF_HOME"] = model_cache_dir
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os.environ["TRANSFORMERS_CACHE"] = model_cache_dir
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# Request models
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class ChatRequest(BaseModel):
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message: str
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global agent
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try:
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agent = init_agent()
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logger.info("TxAgent initialized successfully")
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except Exception as e:
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logger.error(f"Failed to initialize agent: {str(e)}")
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raise RuntimeError(f"Failed to initialize agent: {str(e)}")
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def init_agent():
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