GAIA Agent first commit

app.py

@@ -1,23 +1,81 @@
 import os
 import gradio as gr
 import requests
-import inspect
 import pandas as pd
 
-# (Keep Constants as is)
+from langchain_huggingface import ChatHuggingFace, HuggingFaceEndpoint
+
+from langchain.tools import PythonREPLTool, RequestsGetTool
+from langchain_community.tools import DuckDuckGoSearchRun
+from langchain.agents import initialize_agent, AgentType
+from langchain_core.prompts import ChatPromptTemplate
+
 # --- Constants ---
 DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+SYSTEM_PROMPT = """
+You are GAIA-Bot, a fully-autonomous problem-solver.
+
+• For each question, THINK step-by-step before answering.  
+• When outside knowledge or calculations are needed, CALL an appropriate tool.  
+• Explain your reasoning only to yourself (in “Thought” messages); do NOT reveal it to the user.  
+• After finishing all reasoning, RESPOND with **only** the final answer string—no pre-amble, no labels, no extra text.
+
+You have access to these tools:
+- python_repl         – run Python for maths, JSON/CSV/PDF parsing, etc.  
+- requests_get        – fetch web pages or files via HTTP GET.  
+- duckduckgo_search   – look up current facts on the public web.
+
+If you require a file attached to the current task, download it with
+`requests_get("https://agents-course-unit4-scoring.hf.space/files/{task_id}")`
+and parse it inside Python.
+
+Adhere strictly to these rules:
+1. Use tools whenever they can reduce hallucination.  
+2. Never mention tool names or JSON in your final answer.  
+3. If you cannot find an answer, return “unknown”.
+
+Begin.
+"""
+
 
-# --- Basic Agent Definition ---
-# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
+        print("LangChain-HF agent initialising…")
+
+        self.llm = ChatHuggingFace(
+            llm=HuggingFaceEndpoint(
+                repo_id="meta-llama/Meta-Llama-3-8B-Instruct",
+                task="text-generation",
+                max_new_tokens=512,
+                temperature=0.0,
+                do_sample=False,
+            )
+        )
+
+        tools = [
+            PythonREPLTool(),
+            RequestsGetTool(),
+            DuckDuckGoSearchRun(),
+        ]
+
+        prompt = ChatPromptTemplate.from_messages([
+            ("system", SYSTEM_PROMPT),
+            ("user", "{input}")
+        ])
+
+        self.agent = initialize_agent(
+            tools=tools,
+            llm=self.llm,
+            agent=AgentType.OPENAI_MULTI_FUNCTIONS,
+            prompt=prompt,
+            max_iterations=5,
+            verbose=False,
+        )
+
     def __call__(self, question: str) -> str:
-        print(f"Agent received question (first 50 chars): {question[:50]}...")
-        fixed_answer = "This is a default answer."
-        print(f"Agent returning fixed answer: {fixed_answer}")
-        return fixed_answer
+        return self.agent.run(question)
+
+
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """

requirements.txt

@@ -1,2 +1,7 @@
+langchain
+langchain-huggingface
+huggingface-hub
+duckduckgo-search
 gradio
-requests
+pandas
+requests