Update app.py

app.py

@@ -2,58 +2,90 @@ import os
 import gradio as gr
 import requests
 import pandas as pd
-
-# (Keep Constants as is)
-# --- Constants ---
-DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
+import yaml
+import importlib
 
 from smolagents import (
-    CodeAgent, 
-    DuckDuckGoSearchTool, 
-    VisitWebpageTool, 
-    OpenAIServerModel, 
-    ToolCallingAgent, 
+    CodeAgent,
+    DuckDuckGoSearchTool,
+    VisitWebpageTool,
+    WikipediaSearchTool,
+    Tool,
+    OpenAIServerModel,
+    SpeechToTextTool,
 )
 
-def get_model():
-    """Initialize and return the Hugging Face model."""
-    
-    # Initialize model with specific configuration
-    return OpenAIServerModel("gpt-4.1-mini", max_tokens=8096, api_key=os.getenv("OPENAI_API_KEY"))
-
-class MultiAgent:
-    def __init__(self):
-        
-       
-        # Create the web agent
-        web_agent = ToolCallingAgent(
-            tools=[DuckDuckGoSearchTool(), VisitWebpageTool()],
-            model=get_model(),
-            max_steps=10,
-            name="web_agent",
-            description="Browses the web to find information, it can also visit webpages.",
-        )
-        
-        # Create the code agent
-        self.agent = CodeAgent(
-            tools=[],
-            managed_agents=[web_agent],
-            model=get_model(),
-            max_steps=20,
-            additional_authorized_imports=["os", "shutil", "PyPDF2", "docx", "bs4", "requests", "numpy", "pandas"],
-        )
+DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
-    def __call__(self, question: str) -> str:
-        print(f"MultiAgent received question (first 50 chars): {question[:50]}...")
-        try:
-            answer = self.agent.run(question)
-            print(f"MultiAgent returning answer: {answer}")
-            return str(answer)
-        except Exception as e:
-            print(f"MultiAgent error: {e}")
-            return f"MultiAgent error: {e}"
+class GetTaskFileTool(Tool):
+    name = "get_task_file_tool"
+    description = """This tool downloads the file content associated with the given task_id if exists. Returns absolute file path"""
+    inputs = {
+        "task_id": {"type": "string", "description": "Task id"},
+        "file_name": {"type": "string", "description": "File name"},
+    }
+    output_type = "string"
+
+    def forward(self, task_id: str, file_name: str) -> str:
+        response = requests.get(f"{DEFAULT_API_URL}/files/{task_id}", timeout=15)
+        response.raise_for_status()
+        with open(file_name, 'wb') as file:
+            file.write(response.content)
+        return os.path.abspath(file_name)
 
-# To use this agent in your pipeline, replace BasicAgent with MultiAgent in run_and_submit_all.
+class LoadXlsxFileTool(Tool):
+    name = "load_xlsx_file_tool"
+    description = """This tool loads xlsx file into pandas and returns it"""
+    inputs = {
+        "file_path": {"type": "string", "description": "File path"}
+    }
+    output_type = "object"
+
+    def forward(self, file_path: str) -> object:
+        return pd.read_excel(file_path)
+
+class LoadTextFileTool(Tool):
+    name = "load_text_file_tool"
+    description = """This tool loads any text file"""
+    inputs = {
+        "file_path": {"type": "string", "description": "File path"}
+    }
+    output_type = "string"
+
+    def forward(self, file_path: str) -> object:
+        with open(file_path, 'r', encoding='utf-8') as file:
+            return file.read()
+
+
+prompts = yaml.safe_load(
+    importlib.resources.files("smolagents.prompts").joinpath("code_agent.yaml").read_text()
+)
+prompts["system_prompt"] = ("You are a general AI assistant. I will ask you a question. Report your thoughts, and finish your answer with the following template: FINAL ANSWER: [YOUR FINAL ANSWER]. 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. "
+                            + prompts["system_prompt"])
+
+def init_agent():
+    gemini_model = OpenAIServerModel(
+            model_id="gpt-4.1-mini",
+            api_base="https://generativelanguage.googleapis.com/v1beta/openai/",
+            api_key=os.getenv("OPENAI_API_KEY"),
+            temperature=0.7
+    )
+    agent = CodeAgent(
+        tools=[
+            DuckDuckGoSearchTool(),
+            VisitWebpageTool(),
+            WikipediaSearchTool(),
+            GetTaskFileTool(),
+            SpeechToTextTool(),
+            LoadXlsxFileTool(),
+            LoadTextFileTool()
+        ],
+        model=gemini_model,
+        prompt_templates=prompts,
+        max_steps=15,
+        additional_authorized_imports = ["pandas"]
+    )
+    return agent
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """