Upload 4 files

app.py

@@ -1,13 +1,8 @@
-""" Basic Agent Evaluation Runner"""
 import os
-import inspect
 import gradio as gr
 import requests
+import inspect
 import pandas as pd
-from langchain_core.messages import HumanMessage
-from agent import build_graph
-
-
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -15,22 +10,14 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
-
-
 class BasicAgent:
-    """A langgraph agent."""
     def __init__(self):
         print("BasicAgent initialized.")
-        self.graph = build_graph()
-
     def __call__(self, question: str) -> str:
         print(f"Agent received question (first 50 chars): {question[:50]}...")
-        # Wrap the question in a HumanMessage from langchain_core
-        messages = [HumanMessage(content=question)]
-        messages = self.graph.invoke({"messages": messages})
-        answer = messages['messages'][-1].content
-        return answer[14:]
-
+        fixed_answer = "This is a default answer."
+        print(f"Agent returning fixed answer: {fixed_answer}")
+        return fixed_answer
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """

gitattributes

@@ -0,0 +1,35 @@
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requirements.txt

@@ -1,18 +1,2 @@
 gradio
-requests
-langchain
-langchain-community
-langchain-core
-langchain-google-genai
-langchain-huggingface
-langchain-groq
-langchain-tavily
-langchain-chroma
-langgraph
-huggingface_hub
-supabase
-arxiv
-pymupdf
-wikipedia
-pgvector
-python-dotenv
+requests