app.py

import gradio as gr
import requests
import json
import os

BASE_URL = "https://api.jigsawstack.com/v1"
headers = {
    "x-api-key": os.getenv("JIGSAWSTACK_API_KEY")
}


def detect_objects(image_url=None, file_store_key=None):
    if not image_url and not file_store_key:
        return "❌ Please provide either an image URL or file store key.", [], "", ""

    if image_url and file_store_key:
        return "❌ Provide only one: image URL or file store key.", [], "", ""

    try:
        payload = {}
        if image_url:
            payload["url"] = image_url
        if file_store_key:
            payload["file_store_key"] = file_store_key

        response = requests.post(f"{BASE_URL}/ai/object_detection", headers=headers, json=payload)
        if response.status_code != 200:
            return f"❌ Error: {response.status_code} - {response.text}", [], "", ""

        result = response.json()
        if not result.get("success"):
            return "❌ Detection failed.", [], "", ""

        status = "✅ Detection successful!"
        tags = result.get("tags", [])
        objects = result.get("objects", [])
        description = f"Image Size: {result.get('width')} x {result.get('height')}\n\n"

        for obj in objects:
            bounds = obj.get("bounds", {})
            bound_text = ""
            if bounds.get("top_left") and bounds.get("top_right"):
                tl = bounds["top_left"]
                tr = bounds["top_right"]
                bound_text = f"Bounds: ({tl['x']}, {tl['y']}) to ({tr['x']}, {tr['y']})"
            description += f"• {obj['name']} (Confidence: {obj['confidence']:.2f})\n  {bound_text}\n"

        raw_json = json.dumps(result, indent=2)
        return status, tags, description.strip(), raw_json

    except Exception as e:
        return f"❌ Error: {str(e)}", [], "", ""

def web_ai_search(query, ai_overview, safe_search, spell_check, deep_research, max_depth, max_breadth, max_output_tokens, target_output_tokens):
    if not query or not query.strip():
        return "❌ Please enter a search query.", "", [], ""
    payload = {
        "query": query.strip(),
        "ai_overview": ai_overview,
        "safe_search": safe_search,
        "spell_check": spell_check
    }
    if deep_research:
        payload["deep_research"] = True
        config = {
            "max_depth": max_depth if max_depth is not None else 3,
            "max_breadth": max_breadth if max_breadth is not None else 3,
            "max_output_tokens": max_output_tokens if max_output_tokens is not None else 32000
        }
        if target_output_tokens is not None and target_output_tokens != "":
            config["target_output_tokens"] = target_output_tokens
        payload["deep_research_config"] = config
    try:
        response = requests.post(f"{BASE_URL}/web/search", headers=headers, json=payload)
        if response.status_code != 200:
            return f"❌ Error: {response.status_code} - {response.text}", "", [], ""
        result = response.json()
        if not result.get("success"):
            return "❌ Search failed.", "", [], ""
        status = "✅ Search successful!"
        overview = result.get("ai_overview", "")
        results = result.get("results", [])
        # Format results for display
        formatted_results = []
        for r in results:
            title = r.get("title", "")
            url = r.get("url", "")
            snippet = r.get("snippet", "")
            formatted_results.append(f"{title}\n{url}\n{snippet}")
        raw_json = json.dumps(result, indent=2)
        return status, overview, formatted_results, raw_json
    except Exception as e:
        return f"❌ Error: {str(e)}", "", [], ""

with gr.Blocks() as demo:
    gr.Markdown("""
        <div style='text-align: center; margin-bottom: 24px;'>
            <h1 style='font-size:2.2em; margin-bottom: 0.2em;'>🌐 Web AI Search</h1>
            <p style='font-size:1.2em; margin-top: 0;'>Effortlessly search the web and get high-quality results powered by AI.</p>
            <p style='font-size:1em; margin-top: 0.5em;'>For more details and API usage, see the <a href='https://jigsawstack.com/docs/api-reference/web/ai-search' target='_blank'>documentation</a>.</p>
        </div>
        """)
    with gr.Row():
            with gr.Column():
                search_query = gr.Textbox(label="Search Query", placeholder="Type your search here...")
                ai_overview = gr.Checkbox(label="AI Overview", value=True)
                safe_search = gr.Dropdown(choices=["moderate", "strict", "off"], value="moderate", label="Safe Search")
                spell_check = gr.Checkbox(label="Spell Check", value=True)
                deep_research = gr.Checkbox(label="Deep Research", value=False)
                with gr.Group(visible=False) as deep_research_group:
                    max_depth = gr.Number(label="Max Depth", value=3, precision=0)
                    max_breadth = gr.Number(label="Max Breadth", value=3, precision=0)
                    max_output_tokens = gr.Number(label="Max Output Tokens", value=32000, precision=0)
                    target_output_tokens = gr.Number(label="Target Output Tokens (optional)", value=None, precision=0)
                search_btn = gr.Button("🔍 Search")
                search_clear_btn = gr.Button("Clear")
            with gr.Column():
                search_status = gr.Textbox(label="Status", interactive=False)
                overview_box = gr.Textbox(label="AI Overview", lines=4, interactive=False)
                results_box = gr.Dataframe(headers=["Result"], label="Results", interactive=False)
                search_json_box = gr.Accordion("Raw JSON Response", open=False)
                with search_json_box:
                    search_json_output = gr.Textbox(show_label=False, lines=20, interactive=False)
    def toggle_deep_research(checked):
            return {deep_research_group: gr.update(visible=checked)}
    deep_research.change(fn=toggle_deep_research, inputs=deep_research, outputs=deep_research_group)
    def on_search(query, overview, safe, spell, deep, d_depth, d_breadth, d_tokens, d_target):
            return web_ai_search(query, overview, safe, spell, deep, d_depth, d_breadth, d_tokens, d_target)
    search_btn.click(fn=on_search, inputs=[search_query, ai_overview, safe_search, spell_check, deep_research, max_depth, max_breadth, max_output_tokens, target_output_tokens],
                        outputs=[search_status, overview_box, results_box, search_json_output])
    def clear_search():
            return "", "", [], ""
    search_clear_btn.click(fn=clear_search, inputs=[], outputs=[search_query, overview_box, results_box, search_json_output])
demo.launch()