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Update app.py
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app.py
CHANGED
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@@ -2,6 +2,8 @@ import os
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import gradio as gr
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import requests
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import pandas as pd
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from dotenv import load_dotenv
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from typing import List, Dict, Any, Optional
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@@ -24,28 +26,54 @@ class MessagesState(TypedDict):
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try:
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with open("system_prompt.txt", "r", encoding="utf-8") as f:
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system_prompt = f.read()
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except FileNotFoundError:
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system_prompt = (
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"You are a helpful AI assistant that uses tools to find information and answer questions.\n"
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"When you don't know something, use the available tools to look up information. Be concise, direct, and provide accurate responses.\n"
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"Always cite your sources when using information from searches or reference materials."
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)
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class AdvancedAgent:
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def __init__(self):
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print("Initializing AdvancedAgent with LangGraph, Wikipedia, Arxiv, and
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load_dotenv()
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def build_graph(self):
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llm = ChatOpenAI(
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model=
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temperature=0,
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openai_api_key=os.getenv("OPENROUTER_API_KEY"),
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openai_api_base="https://openrouter.ai/api/v1"
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)
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print("LLM initialized:
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wikipedia_tool = WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper())
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arxiv_tool = ArxivQueryRun()
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@@ -86,29 +114,44 @@ class AdvancedAgent:
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SystemMessage(content=system_prompt),
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HumanMessage(content=question)
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]
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try:
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# Initial state must be a dict with "messages" key!
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result = self.graph.invoke({"messages": messages})
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final_messages = result["messages"]
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# Extract only AI messages from the final state
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ai_messages = [msg for msg in final_messages if isinstance(msg, AIMessage)]
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if not ai_messages:
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return "I wasn't able to generate a proper response. Please try again."
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# Get the last AI message - this should be the final answer
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last_message = ai_messages[-1]
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# Return the content of the last AI message
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-
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except Exception as e:
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print(f"Error running agent graph: {e}")
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return f"Sorry, I encountered an error while processing your question: {str(e)}"
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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space_id = os.getenv("SPACE_ID")
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if profile:
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username = f"{profile.username}"
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print(f"User logged in: {username}")
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@@ -119,12 +162,31 @@ def run_and_submit_all(profile: gr.OAuthProfile | None):
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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submit_url = f"{api_url}/submit"
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try:
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agent = AdvancedAgent()
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except Exception as e:
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-
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agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
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print(agent_code)
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import gradio as gr
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import requests
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import pandas as pd
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import json
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import traceback
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from dotenv import load_dotenv
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from typing import List, Dict, Any, Optional
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try:
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with open("system_prompt.txt", "r", encoding="utf-8") as f:
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system_prompt = f.read()
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print("Successfully loaded system prompt from file")
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except FileNotFoundError:
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system_prompt = (
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"You are a helpful AI assistant that uses tools to find information and answer questions.\n"
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"When you don't know something, use the available tools to look up information. Be concise, direct, and provide accurate responses.\n"
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"Always cite your sources when using information from searches or reference materials."
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)
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print("System prompt file not found, using default prompt")
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class AdvancedAgent:
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def __init__(self):
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print("Initializing AdvancedAgent with LangGraph, Wikipedia, Arxiv, and LLM via OpenRouter")
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load_dotenv()
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# Check if OpenRouter API key is set
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if not os.getenv("OPENROUTER_API_KEY"):
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print("WARNING: OPENROUTER_API_KEY environment variable not set!")
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print("Please set this in your HF Space secrets or .env file")
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try:
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self.graph = self.build_graph()
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print("Graph successfully built")
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except Exception as e:
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print(f"Error building agent graph: {e}")
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traceback.print_exc()
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raise
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def build_graph(self):
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# Add consistent headers for OpenRouter
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headers = {
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"HTTP-Referer": "https://huggingface.co/",
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"X-Title": "HF Agent"
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}
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try:
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# Try alternative OpenAI model if Gemini is causing issues
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model_name = "google/gemini-2.0-flash-001"
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# Fallback to OpenAI if needed
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# model_name = "gpt-3.5-turbo"
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llm = ChatOpenAI(
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model=model_name,
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temperature=0,
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openai_api_key=os.getenv("OPENROUTER_API_KEY"),
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openai_api_base="https://openrouter.ai/api/v1",
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headers=headers
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)
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print(f"LLM initialized: {model_name} via OpenRouter")
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wikipedia_tool = WikipediaQueryRun(api_wrapper=WikipediaAPIWrapper())
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arxiv_tool = ArxivQueryRun()
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SystemMessage(content=system_prompt),
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HumanMessage(content=question)
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]
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# Print message details for debugging
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print(f"Sending {len(messages)} messages to the LLM")
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try:
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# Initial state must be a dict with "messages" key!
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print("Invoking agent graph...")
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result = self.graph.invoke({"messages": messages})
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print("Agent graph execution completed")
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final_messages = result["messages"]
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print(f"Got {len(final_messages)} messages in result")
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# Extract only AI messages from the final state
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ai_messages = [msg for msg in final_messages if isinstance(msg, AIMessage)]
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print(f"Found {len(ai_messages)} AI messages in the final state")
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if not ai_messages:
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print("No AI messages found in the final state")
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return "I wasn't able to generate a proper response. Please try again."
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# Get the last AI message - this should be the final answer
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last_message = ai_messages[-1]
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# Return the content of the last AI message
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if last_message.content:
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return last_message.content
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else:
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print("Last AI message has empty content")
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return "I wasn't able to generate a proper response. Please try again."
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except Exception as e:
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print(f"Error running agent graph: {e}")
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traceback.print_exc()
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return f"Sorry, I encountered an error while processing your question: {str(e)}"
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def run_and_submit_all(profile: gr.OAuthProfile | None):
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space_id = os.getenv("SPACE_ID", "i-dhilip/Final_Assignment_Template") # Default to your space ID
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if profile:
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username = f"{profile.username}"
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print(f"User logged in: {username}")
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api_url = DEFAULT_API_URL
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questions_url = f"{api_url}/questions"
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submit_url = f"{api_url}/submit"
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print(f"Checking OpenRouter API key...")
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if not os.getenv("OPENROUTER_API_KEY"):
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return "Error: OPENROUTER_API_KEY not set. Please add this to your Space secrets.", None
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try:
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agent = AdvancedAgent()
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except Exception as e:
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error_msg = f"Error instantiating agent: {e}"
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print(error_msg)
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traceback.print_exc()
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return error_msg, None
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# Generate a simple test question to verify the agent works
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test_question = "What is the capital of France?"
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print(f"Testing agent with a simple question: '{test_question}'")
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try:
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test_response = agent(test_question)
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print(f"Test response: {test_response[:100]}...")
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if "I wasn't able to generate" in test_response or "error" in test_response.lower():
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print("WARNING: Agent test response indicates potential issues")
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except Exception as e:
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print(f"Agent test failed: {e}")
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traceback.print_exc()
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return f"Agent test failed: {e}", None
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agent_code = f"https://huggingface.co/spaces/{space_id}/tree/main"
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print(agent_code)
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