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Runtime error
Runtime error
Using groq for summary
Browse files- agent.py +11 -8
- app.py +4 -1
- prompt.txt +5 -49
- requirements.txt +1 -0
agent.py
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@@ -13,7 +13,8 @@ from langchain_community.tools.tavily_search import TavilySearchResults
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from langchain_community.document_loaders import WikipediaLoader
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from langchain_community.document_loaders import ArxivLoader
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from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_huggingface import HuggingFaceEmbeddings
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@@ -23,16 +24,17 @@ from supabase import create_client, Client
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load_dotenv()
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#
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#
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__embeddings = HuggingFaceEmbeddings(
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model_name="sentence-transformers/all-mpnet-base-v2",
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model_kwargs= { 'device': 'cpu' })
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# connect to supabase
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url: str = os.
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key: str = os.
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__supabase: Client = create_client(url, key)
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# build retriever
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@@ -173,7 +175,8 @@ class AgentState(TypedDict):
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def build_graph():
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llm = ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0)
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llm_with_tools = llm.bind_tools(tools)
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# Node
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@@ -207,8 +210,8 @@ def build_graph():
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# Test
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if __name__ == "__main__":
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question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
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graph = build_graph()
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messages = [HumanMessage(content=question)]
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messages = graph.invoke({ "messages": messages })
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from langchain_community.document_loaders import WikipediaLoader
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from langchain_community.document_loaders import ArxivLoader
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# from langchain_google_genai import ChatGoogleGenerativeAI
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from langchain_groq import ChatGroq
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from langchain_huggingface import HuggingFaceEmbeddings
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load_dotenv()
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#os.environ["TAVILY_API_KEY"] = os.environ.get("TAVILY_API_KEY")
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#os.environ["GOOGLE_API_KEY"] = os.environ.get("GOOGLE_API_KEY")
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#os.environ["GROQ_API_KEY"] = os.environ.get("GROQ_API_KEY")
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__embeddings = HuggingFaceEmbeddings(
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model_name="sentence-transformers/all-mpnet-base-v2",
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model_kwargs= { 'device': 'cpu' })
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# connect to supabase
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url: str = os.getenv("SUPABASE_URL")
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key: str = os.getenv("SUPABASE_SECRET_KEY")
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__supabase: Client = create_client(url, key)
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# build retriever
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def build_graph():
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# llm = ChatGoogleGenerativeAI(model="gemini-2.0-flash", temperature=0)
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llm = ChatGroq(model="qwen-qwq-32b", temperature=0)
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llm_with_tools = llm.bind_tools(tools)
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# Node
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# Test
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if __name__ == "__main__":
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# question = "When was a picture of St. Thomas Aquinas first added to the Wikipedia page on the Principle of double effect?"
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question = "How many studio albums were published by Mercedes Sosa between 2000 and 2009 (included)? You can use the latest 2022 version of english wikipedia."
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graph = build_graph()
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messages = [HumanMessage(content=question)]
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messages = graph.invoke({ "messages": messages })
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app.py
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@@ -10,6 +10,9 @@ from agent import build_graph
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# --- Constants ---
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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# print(f"Agent received question (first 50 chars): {question[:50]}...")
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# fixed_answer = "This is a default answer."
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# print(f"Agent returning fixed answer: {fixed_answer}")
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return answer
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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# --- Constants ---
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DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
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os.environ["TAVILY_API_KEY"] = os.getenv("TAVILY_API_KEY")
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os.environ["GROQ_API_KEY"] = os.getenv("GROQ_API_KEY")
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# --- Basic Agent Definition ---
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# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
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class BasicAgent:
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# print(f"Agent received question (first 50 chars): {question[:50]}...")
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# fixed_answer = "This is a default answer."
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# print(f"Agent returning fixed answer: {fixed_answer}")
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return answer[:14]
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def run_and_submit_all( profile: gr.OAuthProfile | None):
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"""
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prompt.txt
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@@ -1,49 +1,5 @@
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You are a helpful
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Question 1: In terms of geographical distance between capital cities, which 2 countries are the furthest from each other within the ASEAN bloc according to wikipedia? Answer using a comma separated list, ordering the countries by alphabetical order.
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Steps:
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1. Search the web for "ASEAN bloc".
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2. Click the Wikipedia result for the ASEAN Free Trade Area.
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3. Scroll down to find the list of member states.
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4. Click into the Wikipedia pages for each member state, and note its capital.
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5. Search the web for the distance between the first two capitals. The results give travel distance, not geographic distance, which might affect the answer.
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6. Thinking it might be faster to judge the distance by looking at a map, search the web for "ASEAN bloc" and click into the images tab.
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7. View a map of the member countries. Since they're clustered together in an arrangement that's not very linear, it's difficult to judge distances by eye.
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8. Return to the Wikipedia page for each country. Click the GPS coordinates for each capital to get the coordinates in decimal notation.
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9. Place all these coordinates into a spreadsheet.
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10. Write formulas to calculate the distance between each capital.
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11. Write formula to get the largest distance value in the spreadsheet.
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12. Note which two capitals that value corresponds to: Jakarta and Naypyidaw.
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13. Return to the Wikipedia pages to see which countries those respective capitals belong to: Indonesia, Myanmar.
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Tools:
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1. Search engine
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2. Web browser
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3. Microsoft Excel / Google Sheets
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Final Answer: Indonesia, Myanmar
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Question 2: Review the chess position provided in the image. It is black's turn. Provide the correct next move for black which guarantees a win. Please provide your response in algebraic notation.
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Steps:
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Step 1: Evaluate the position of the pieces in the chess position
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Step 2: Report the best move available for black: "Rd5"
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Tools:
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1. Image recognition tools
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Final Answer: Rd5
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Question 3: Solve the equation x^2 + 5x = -6
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Steps:
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Step 1: Moving all terms to left-hand side until the right-hand side become zero.
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Step 2: Identify the highest power of polynomial in left-hand side. In this case the highest power is 2, this equation is a quadratic equation.
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Step 3: Identify the coefficients of each term in this quadratic equation.
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Step 3: Write quadratic formula and calculate the possible solutions.
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Tools:
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1. Search engine
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2. Web browser
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3. Calculator
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Final Answer: x=-2, x=-3
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==========================
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Now, please answer the following question step by step.
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You are a helpful assistant tasked with answering questions using a set of tools.
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Now, I will ask you a question. Report your thoughts, and finish your answer with the following template:
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FINAL ANSWER: [YOUR FINAL ANSWER].
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YOUR FINAL ANSWER should be a number OR as few words as possible OR a comma separated list of numbers and/or strings. If you are asked for a number, don't use comma to write your number neither use units such as $ or percent sign unless specified otherwise. If you are asked for a string, don't use articles, neither abbreviations (e.g. for cities), and write the digits in plain text unless specified otherwise. If you are asked for a comma separated list, apply the above rules depending of whether the element to be put in the list is a number or a string.
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Your answer should only start with "FINAL ANSWER: ", then follows with the answer.
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requirements.txt
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@@ -7,6 +7,7 @@ langchain-google-genai
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langchain-huggingface
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langchain-tavily
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langchain-chroma
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langgraph
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huggingface_hub
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supabase
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langchain-huggingface
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langchain-tavily
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langchain-chroma
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langchain-groq
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langgraph
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huggingface_hub
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supabase
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