Rimuovi dipendenze non più necessarie e limita token generati

app.py

@@ -5,27 +5,7 @@ import requests
 import inspect
 import pandas as pd
 
-# =============================================================================
-# MODIFICHE APPORTATE PER RISOLVERE L'ERRORE "generate" NON TROVATO:
-#
-# PROBLEMA ORIGINALE: 
-# - Il pipeline di Transformers non è direttamente compatibile con smolagents
-# - CodeAgent si aspetta un'interfaccia specifica che pipeline non implementa
-# - L'errore "generate" si verificava perché smolagents cercava metodi non presenti
-#
-# SOLUZIONE IMPLEMENTATA:
-# - Creata classe SimpleLocalModel che fa da wrapper
-# - Implementa l'interfaccia __call__() che smolagents si aspetta  
-# - Gestisce la conversione dei messaggi e la generazione delle risposte
-# - Fallback multipli: locale -> remoto -> fisso
-# =============================================================================
-
-from smolagents import CodeAgent, TransformersModel, InferenceClientModel, VisitWebpageTool, PythonInterpreterTool, WebSearchTool, WikipediaSearchTool, FinalAnswerTool, Tool, tool
-# Importazioni per modelli locali (SOLUZIONE per errore "generate"):
-from transformers import pipeline, AutoModelForCausalLM, AutoTokenizer
-from litellm import LiteLLM
-import threading
-import time
+from smolagents import CodeAgent, TransformersModel, VisitWebpageTool, PythonInterpreterTool, WebSearchTool, WikipediaSearchTool, FinalAnswerTool, Tool, tool # InferenceClientModel, GoogleSearchTool (usa SERPAPI_API_KEY), DuckDuckGoSearchTool
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -48,7 +28,7 @@ class FirstAgent:
 	### First Agent is the first attempt to develop an agent for the course. ###
 	def __init__(self):
 		model_id = "HuggingFaceTB/SmolLM-135M-Instruct"
-		model = TransformersModel(model_id=model_id)
+		model = TransformersModel(model_id=model_id, max_new_tokens=2048)
 		
 		# Inizializza l'agente
 		self.agent = CodeAgent(
@@ -244,14 +224,11 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
 
 # --- Build Gradio Interface using Blocks ---
 with gr.Blocks() as demo:
-	gr.Markdown("# Basic Agent Evaluation Runner")
+	gr.Markdown("# Raffaele Agent Evaluation Runner")
 	gr.Markdown(
 		"""
-		**Instructions:**
-
-		1.  Please clone this space, then modify the code to define your agent's logic, the tools, the necessary packages, etc ...
-		2.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
-		3.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
+		1.  Log in to your Hugging Face account using the button below. This uses your HF username for submission.
+		2.  Click 'Run Evaluation & Submit All Answers' to fetch questions, run your agent, submit answers, and see the score.
 
 		---
 		**Disclaimers:**

requirements.txt

@@ -7,11 +7,7 @@ wikipedia-api
 transformers
 torch
 tokenizers
-# Dipendenze per LiteLLM (modelli multipli)
-litellm
-# Hugging Face Hub per download modelli e API
-huggingface_hub
-# Dipendenze per HfApiModel e integrazione completa HF
+# Dipendenze per integrazione completa con HF
 datasets
 accelerate
 # Opzionali ma utili