Update app.py

app.py

@@ -1,15 +1,106 @@
-# app.py (for first_agent_template)
-import gradio as gr
-from agent import agent  # Import your refactored agent
+import os
+import datetime
+import requests
+import pytz
+import yaml
+from typing import List
+
+from langchain.text_splitter import CharacterTextSplitter
+from tools.final_answer import FinalAnswerTool
+from smolagents import CodeAgent, LiteLLMModel, DuckDuckGoSearchTool, HfApiModel, load_tool, tool
 from Gradio_UI import GradioUI
 
-# Optional: Uncomment to test agent endpoint separately
-# def run_agent(question):
-#     try:
-#         result = agent(question)
-#         return [str(result)]
-#     except Exception as e:
-#         return [f"Error: {e}"]
+# === TOOLS ===
+
+@tool
+def web_search(query: str) -> str:
+    """Allows search through DuckDuckGo.
+    Args:
+        query: what you want to search
+    """
+    search_tool = DuckDuckGoSearchTool()
+    results = search_tool(query)
+    return "\n".join(results)
+
+@tool
+def get_current_time_in_timezone(timezone: str) -> str:
+    """Fetches the current local time in a specified timezone.
+    Args:
+        timezone: A string representing a valid timezone (e.g., 'America/New_York').
+    """
+    try:
+        tz = pytz.timezone(timezone)
+        local_time = datetime.datetime.now(tz).strftime("%Y-%m-%d %H:%M:%S")
+        return f"The current local time in {timezone} is: {local_time}"
+    except Exception as e:
+        return f"Error fetching time for timezone '{timezone}': {str(e)}"
+
+@tool
+def visit_webpage(url: str) -> str:
+    """Fetches raw HTML content of a web page.
+    Args:
+        url: The url of the webpage.
+    """
+    try:
+        response = requests.get(url, timeout=5)
+        return response.text[:5000]  # Limit length
+    except Exception as e:
+        return f"[ERROR fetching {url}]: {str(e)}"
+
+@tool
+def text_splitter(text: str) -> List[str]:
+    """Splits text into chunks using LangChain's CharacterTextSplitter.
+    Args:
+        text: A string of text to split.
+    """
+    splitter = CharacterTextSplitter(chunk_size=450, chunk_overlap=10)
+    return splitter.split_text(text)
+
+# === FINAL ANSWER TOOL ===
+final_answer = FinalAnswerTool()
+
+# === LOAD PROMPT TEMPLATES ===
+with open("prompts.yaml", "r") as stream:
+    prompt_templates = yaml.safe_load(stream)
+
+# === LOAD agent.json CONFIG ===
+with open("agent.json", "r") as f:
+    agent_config = yaml.safe_load(f)
+
+model_config = agent_config["model"]["data"]
+
+# === BUILD MODEL ===
+model = LiteLLMModel(
+    model_id="gemini/gemini-2.0-flash-lite",
+    api_key=os.getenv("GEMINI_API_KEY"),
+    temperature=0.5,
+    max_tokens=1024,
+)
+
+
+
+# === IMPORT TOOL FROM HUB ===
+image_generation_tool = load_tool("agents-course/text-to-image", trust_remote_code=True)
+
+# === BUILD AGENT ===
+agent = CodeAgent(
+    model=model,
+    tools=[
+        final_answer,
+        web_search,
+        get_current_time_in_timezone,
+        visit_webpage,
+        text_splitter,
+        image_generation_tool
+    ],
+    max_steps=6,
+    verbosity_level=1,
+    grammar=None,
+    planning_interval=None,
+    name=None,
+    description=None,
+    prompt_templates=prompt_templates
+)
 
-if __name__ == "__main__":
-    GradioUI(agent).launch(debug=True, share=True)
+# === LAUNCH UI ===
+GradioUI(agent).launch()