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| import gradio as gr | |
| import requests | |
| from transformers import pipeline | |
| from deep_translator import GoogleTranslator | |
| # ----------------------- | |
| # INIT | |
| # ----------------------- | |
| try: | |
| chatbot = pipeline("text-generation", model="distilgpt2") | |
| except Exception: | |
| chatbot = None | |
| community_feed = [] # store shared tips | |
| # ----------------------- | |
| # FUNCTIONS | |
| # ----------------------- | |
| def chat_with_ai(query, language="English"): | |
| if not chatbot: | |
| return "⚠️ AI Model not loaded." | |
| try: | |
| response = chatbot(query, max_length=80, num_return_sequences=1) | |
| text = response[0].get("generated_text", "No response generated.") | |
| if language.lower() != "english": | |
| try: | |
| text = GoogleTranslator(source="en", target=language.lower()).translate(text) | |
| except Exception: | |
| text = f"(Partial English) {text}" | |
| return f"[{language}] {text}" | |
| except Exception as e: | |
| return f"⚠️ AI Error: {str(e)}" | |
| def convert_currency(amount, from_currency="USD", to_currency="PKR"): | |
| try: | |
| url = f"https://open.er-api.com/v6/latest/{from_currency.upper()}" | |
| res = requests.get(url, timeout=10).json() | |
| if res.get("result") == "success": | |
| rates = res.get("rates", {}) | |
| if to_currency.upper() in rates: | |
| converted = round(float(amount) * rates[to_currency.upper()], 2) | |
| return f"{amount} {from_currency.upper()} = {converted} {to_currency.upper()}" | |
| else: | |
| return f"⚠️ Currency {to_currency.upper()} not supported." | |
| else: | |
| return f"⚠️ API Error: {res.get('error-type', 'Unknown error')}" | |
| except Exception as e: | |
| return f"⚠️ Error: {str(e)}" | |
| def translate_text(text, lang="es"): | |
| try: | |
| return GoogleTranslator(source="auto", target=lang).translate(text) | |
| except Exception as e: | |
| return f"⚠️ Translation Error: {str(e)}" | |
| def share_tip(user_tip): | |
| if user_tip.strip(): | |
| community_feed.append(user_tip.strip()) | |
| return "\n".join([f"• {tip}" for tip in community_feed[-10:]]) or "No tips shared yet." | |
| def get_emergency_number(country): | |
| numbers = { | |
| "Pakistan": "Rescue 1122 / Police 15", | |
| "India": "112 (All emergencies)", | |
| "USA": "911", | |
| "UK": "999", | |
| "UAE": "999 (Police), 998 (Ambulance)" | |
| } | |
| return numbers.get(country, "⚠️ Not available, please check locally.") | |
| def scam_detector(text): | |
| scam_keywords = ["lottery", "prize", "send money", "urgent transfer", "Nigerian prince"] | |
| if any(word in text.lower() for word in scam_keywords): | |
| return "⚠️ Potential Scam Detected!" | |
| return "✅ Message seems safe." | |
| def lost_passport_help(country): | |
| return f"If you lost your passport in {country}, visit your embassy immediately and file a police report." | |
| def carbon_calculator(distance_km, passengers=1): | |
| emissions = round(distance_km * passengers * 0.115, 2) | |
| return f"✈️ Estimated Carbon Footprint: {emissions} kg CO2" | |
| def eco_hotels(city): | |
| eco_list = { | |
| "Karachi": ["Hotel One 🌱", "Pearl Eco Inn"], | |
| "Dubai": ["Green Oasis Hotel", "EcoPalm Resort"], | |
| "London": ["The Zetter Eco Hotel", "Green Stay Inn"], | |
| } | |
| return "\n".join(eco_list.get(city, ["⚠️ No eco-hotels found, try another city."])) | |
| # ----------------------- | |
| # VOICE ASSISTANT | |
| # ----------------------- | |
| def voice_assistant(audio_file): | |
| try: | |
| import speech_recognition as sr | |
| recognizer = sr.Recognizer() | |
| with sr.AudioFile(audio_file) as source: | |
| audio_data = recognizer.record(source) | |
| text = recognizer.recognize_google(audio_data) | |
| # Pass recognized text to chatbot | |
| if chatbot: | |
| response = chatbot(text, max_length=80, num_return_sequences=1) | |
| reply = response[0].get("generated_text", "No response generated.") | |
| return f"🗣️ You said: {text}\n🤖 GlobeMate: {reply}" | |
| else: | |
| return "⚠️ AI Model not loaded." | |
| except Exception as e: | |
| return f"⚠️ Voice Assistant Error: {str(e)}" | |
| # ----------------------- | |
| # IMAGE VIA URL | |
| # ----------------------- | |
| def img_html(url, caption=""): | |
| return f""" | |
| <div style='text-align:center'> | |
| <img src="{url}" style='width:120px; border-radius:15px; margin:10px;'/> | |
| <p style='font-size:14px; color:gray'>{caption}</p> | |
| </div> | |
| """ | |
| # Example icons (from Flaticon) | |
| travel_img = "https://cdn-icons-png.flaticon.com/512/69/69906.png" | |
| currency_img = "https://cdn-icons-png.flaticon.com/512/2331/2331941.png" | |
| translator_img = "https://cdn-icons-png.flaticon.com/512/2258/2258570.png" | |
| community_img = "https://cdn-icons-png.flaticon.com/512/1256/1256650.png" | |
| safety_img = "https://cdn-icons-png.flaticon.com/512/69/69906.png" | |
| eco_img = "https://cdn-icons-png.flaticon.com/512/189/189001.png" | |
| voice_img = "https://cdn-icons-png.flaticon.com/512/3602/3602145.png" | |
| # ----------------------- | |
| # GRADIO UI | |
| # ----------------------- | |
| def build_interface(): | |
| with gr.Blocks(theme=gr.themes.Soft(), css="footer {display:none !important}") as demo: | |
| gr.HTML("<h1 style='text-align:center'>🌍 GlobeMate AI – Travel Companion</h1>") | |
| gr.HTML("<h3 style='text-align:center; color:gray'>✈️ Plan trips • 💱 Convert currency • 🛡️ Stay safe • 🌱 Travel green</h3>") | |
| # Travel Planner | |
| with gr.Tab("🤖 Travel Planner"): | |
| gr.HTML(img_html(travel_img, "AI Travel Planning")) | |
| query = gr.Textbox(label="Ask GlobeMate about your trip ✈️") | |
| lang = gr.Dropdown(["English", "Spanish", "French", "Urdu"], label="Language", value="English") | |
| out = gr.Textbox(label="AI Suggested Plan") | |
| btn = gr.Button("✨ Get Travel Plan") | |
| btn.click(chat_with_ai, [query, lang], out) | |
| # Currency | |
| with gr.Tab("💱 Currency Converter"): | |
| gr.HTML(img_html(currency_img, "Currency Conversion")) | |
| amount = gr.Number(label="Amount", value=1.0) | |
| from_cur = gr.Textbox(label="From Currency (e.g. USD)", value="USD") | |
| to_cur = gr.Textbox(label="To Currency (e.g. PKR)", value="PKR") | |
| result = gr.Textbox(label="Converted Amount") | |
| btn2 = gr.Button("💹 Convert") | |
| btn2.click(convert_currency, [amount, from_cur, to_cur], result) | |
| # Translator | |
| with gr.Tab("🌐 Translator"): | |
| gr.HTML(img_html(translator_img, "Live Translator")) | |
| text = gr.Textbox(label="Enter Text") | |
| lang_code = gr.Textbox(label="Target Language Code (e.g. es, fr, ur)", value="es") | |
| translated = gr.Textbox(label="Translated Text") | |
| btn4 = gr.Button("🌍 Translate") | |
| btn4.click(translate_text, [text, lang_code], translated) | |
| # Community | |
| with gr.Tab("👥 Community"): | |
| gr.HTML(img_html(community_img, "Traveler Tips")) | |
| tip_in = gr.Textbox(label="✍️ Share your travel tip") | |
| tip_out = gr.Textbox(label="🌏 Community Feed (last 10)") | |
| btn5 = gr.Button("📌 Post Tip") | |
| btn5.click(share_tip, [tip_in], tip_out) | |
| # Safety | |
| with gr.Tab("🛡️ Safety"): | |
| gr.HTML(img_html(safety_img, "Stay Safe")) | |
| country_in = gr.Textbox(label="Enter Country") | |
| emergency_out = gr.Textbox(label="🚨 Emergency Numbers") | |
| btn6 = gr.Button("📞 Get Emergency Number") | |
| btn6.click(get_emergency_number, [country_in], emergency_out) | |
| scam_in = gr.Textbox(label="Paste suspicious message") | |
| scam_out = gr.Textbox(label="🔍 Scam Detection Result") | |
| btn7 = gr.Button("🚫 Check Scam") | |
| btn7.click(scam_detector, [scam_in], scam_out) | |
| lost_in = gr.Textbox(label="Country where you lost passport") | |
| lost_out = gr.Textbox(label="🛂 Passport Help") | |
| btn8 = gr.Button("📖 Get Help") | |
| btn8.click(lost_passport_help, [lost_in], lost_out) | |
| # Eco Mode | |
| with gr.Tab("🌱 Eco Mode"): | |
| gr.HTML(img_html(eco_img, "Eco-Friendly Travel")) | |
| dist = gr.Number(label="Flight Distance (km)", value=1000) | |
| passengers = gr.Number(label="Passengers", value=1) | |
| carbon_out = gr.Textbox(label="🌍 Carbon Footprint") | |
| btn9 = gr.Button("🌱 Calculate Footprint") | |
| btn9.click(carbon_calculator, [dist, passengers], carbon_out) | |
| eco_city = gr.Textbox(label="Enter City") | |
| eco_out = gr.Textbox(label="🏨 Eco Hotels") | |
| btn10 = gr.Button("🍀 Find Eco Hotels") | |
| btn10.click(eco_hotels, [eco_city], eco_out) | |
| # Voice Assistant | |
| with gr.Tab("🎤 Voice Assistant"): | |
| gr.HTML(img_html(voice_img, "Talk to GlobeMate")) | |
| voice_in = gr.Audio(label="🎤 Speak now (record) — press STOP to send", format="wav") | |
| voice_out = gr.Textbox(label="Voice Assistant Response") | |
| voice_btn = gr.Button("🎙️ Process Voice") | |
| voice_btn.click(voice_assistant, [voice_in], voice_out) | |
| return demo | |
| if __name__ == "__main__": | |
| demo = build_interface() | |
| demo.launch() |