app.py

# ai_web_agent.py

from duckduckgo_search import DDGS
from transformers import pipeline
import gradio as gr

# Load Hugging Face summarization pipeline
print("Loading model...")
summarizer = pipeline("summarization", model="facebook/bart-large-cnn")
print("Model loaded.")

# Function to search the web
def search_web(query, max_results=5):
    results = []
    with DDGS() as ddgs:
        for r in ddgs.text(query, region='wt-wt', safesearch='Moderate', max_results=max_results):
            snippet = f"{r['title']}: {r['body']} ({r['href']})"
            results.append(snippet)
    return results

# Function to summarize search results
def summarize_results(results):
    if not results:
        return "No relevant information found."

    combined = "\n".join(results)
    # Truncate if input is too long
    max_input_length = 1024
    input_text = combined[:max_input_length]

    summary = summarizer(input_text)[0]['summary_text']
    return summary

# Full agent workflow
def ai_agent(question):
    try:
        search_results = search_web(question)
        summary = summarize_results(search_results)
        return summary
    except Exception as e:
        return f"Error: {str(e)}"

# Optional: Web UI
interface = gr.Interface(
    fn=ai_agent,
    inputs=gr.Textbox(lines=2, placeholder="Ask me anything..."),
    outputs="text",
    title="🧠 AI Web Search Agent",
    description="This agent searches the web and summarizes the best answer for you."
)

if __name__ == "__main__":
    interface.launch()