Agent Logic implemented

app.py

@@ -3,6 +3,8 @@ import gradio as gr
 import requests
 import inspect
 import pandas as pd
+from smolagents import CodeAgent, HfApiModel, PromptTemplates, OpenAIServerModel
+from tools import search_tool, speech_to_text, python_interpreter
 
 # (Keep Constants as is)
 # --- Constants ---
@@ -10,14 +12,47 @@ DEFAULT_API_URL = "https://agents-course-unit4-scoring.hf.space"
 
 # --- Basic Agent Definition ---
 # ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+if os.getenv("ENV") != "production":
+    load_dotenv()
+OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
+
+# --- Basic Agent Definition ---
+# ----- THIS IS WERE YOU CAN BUILD WHAT YOU WANT ------
+# model = HfApiModel()
+model = OpenAIServerModel(model_id="gpt-4.1", api_key=OPENAI_API_KEY)
+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."
+
 class BasicAgent:
     def __init__(self):
-        print("BasicAgent initialized.")
-    def __call__(self, question: str) -> str:
+        self.agent = CodeAgent(
+            tools=[search_tool, speech_to_text, python_interpreter],
+            model=model,
+            # max_steps=5,
+            # add_base_tools=True,
+            # prompt_templates=PromptTemplates(system_prompt=system_prompt),
+            additional_authorized_imports=[
+                "os",
+                "io",
+                "pathlib",
+                "json",
+                "csv",
+                "pandas",
+                "openpyxl",
+                "zipfile",
+                "mutagen",
+                "PIL"
+            ]
+        )
+        print("Agent initialized.")
+    def __call__(self, question: str, file_name: 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
+        task = f"{system_prompt} \n{question}"
+        if file_name != "":
+            response = self.agent.run(task=task, additional_args=file_name)
+        elif file_name == "":
+            response = self.agent.run(task)
+        print(f"Agent's answer: {response}")
+        return response
 
 def run_and_submit_all( profile: gr.OAuthProfile | None):
     """