app.py

import gradio as gr
import pandas as pd
import requests
import tempfile
from docx import Document
from datetime import datetime

# DuckDuckGo API search
def search_api(query):
    if not query.strip():
        return pd.DataFrame([{"Rank": "", "Title": "Please enter a valid search query.", "URL": ""}])
    
    url = f"https://api.duckduckgo.com/?q={query}&format=json&no_redirect=1"
    try:
        response = requests.get(url)
        response.raise_for_status()
        data = response.json()
        related_topics = data.get("RelatedTopics", [])
        results = []

        for topic in related_topics:
            if "Text" in topic and "FirstURL" in topic:
                results.append({"Title": topic["Text"], "URL": topic["FirstURL"]})
            elif "Topics" in topic:
                for sub in topic["Topics"]:
                    if "Text" in sub and "FirstURL" in sub:
                        results.append({"Title": sub["Text"], "URL": sub["FirstURL"]})

        if not results:
            results.append({"Title": "No results found.", "URL": ""})

        for i, r in enumerate(results):
            r["Rank"] = i + 1

        return pd.DataFrame(results)[["Rank", "Title", "URL"]]
    
    except Exception as e:
        return pd.DataFrame([{"Rank": "", "Title": "Error fetching results.", "URL": str(e)}])

# Export CSV safely
def export_csv(results, query):
    if results is None or results.empty:
        return ""
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    with tempfile.NamedTemporaryFile(delete=False, suffix=".csv", mode="w", newline='', encoding="utf-8") as tmp:
        results.to_csv(tmp.name, index=False)
        return tmp.name

# Export DOCX safely
def export_docx(results, query):
    if results is None or results.empty:
        return ""
    timestamp = datetime.now().strftime("%Y%m%d_%H%M%S")
    doc = Document()
    doc.add_heading(f"Search Results for: {query}", 0)
    for i, row in results.iterrows():
        doc.add_paragraph(f"{row['Rank']}. {row['Title']}\n{row['URL']}")
    with tempfile.NamedTemporaryFile(delete=False, suffix=".docx") as tmp:
        doc.save(tmp.name)
        return tmp.name

# Gradio UI
with gr.Blocks() as demo:
    gr.Markdown("## 🔎 Smart DuckDuckGo Search & Export App")
    gr.Markdown("""
    This app lets you search DuckDuckGo and export the results as a **CSV or Word DOCX** file.

    ### Instructions:
    1. Enter a search topic (e.g., "climate change").
    2. Click **Search** to fetch results from DuckDuckGo.
    3. View and click links directly.
    4. Export results using the buttons below.
    """)

    query = gr.Textbox(label="Search Query", placeholder="Enter topic...")
    status = gr.Markdown("")
    search_btn = gr.Button("🔍 Search Now")

    results_display = gr.Dataframe(headers=["Rank", "Title", "URL"], label="Search Results", interactive=False)

    with gr.Row():
        export_csv_btn = gr.Button("⬇️ Export CSV")
        export_docx_btn = gr.Button("⬇️ Export DOCX")

    csv_file = gr.File(label="Download CSV")
    docx_file = gr.File(label="Download DOCX")

    def handle_search(q):
        status_msg = f"Searching DuckDuckGo for **{q}**..."
        df = search_api(q)
        if "Error" in df.iloc[0]["Title"]:
            status_msg = f"❌ Error: {df.iloc[0]['URL']}"
        elif "Please enter" in df.iloc[0]["Title"]:
            status_msg = "⚠️ Please enter a search term."
        else:
            status_msg = f"✅ Found {len(df)} results for: **{q}**"
        return df, status_msg

    search_btn.click(fn=handle_search, inputs=query, outputs=[results_display, status])
    export_csv_btn.click(fn=export_csv, inputs=[results_display, query], outputs=csv_file)
    export_docx_btn.click(fn=export_docx, inputs=[results_display, query], outputs=docx_file)

demo.launch()  # DO NOT set share=True on Hugging Face Spaces