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| 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() | |