Full ARK-AI multi-modal setup
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app.py
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# app.py
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import gradio as gr
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#
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# Define your Gradio interface
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iface = gr.Interface(
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fn=
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inputs=gr.Textbox(placeholder="
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outputs=
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)
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iface.launch()
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# app.py
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import gradio as gr
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from transformers import pipeline
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# =============================
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# LOAD YOUR MODELS
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# =============================
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# ----- Text models -----
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text_models = [
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pipeline("text-generation", model="openai/gpt-oss-120b"),
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pipeline("text-generation", model="deepseek-ai/DeepSeek-V3.1-Base"),
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pipeline("text-generation", model="zai-org/GLM-4.5"),
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pipeline("text-generation", model="zai-org/chatglm3-6b"),
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pipeline("text-generation", model="openai/gpt-oss-20b")
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]
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# ----- Audio models -----
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tts_models = [
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pipeline("text-to-speech", model="sk0032/coqui-tts-model"),
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pipeline("text-to-speech", model="sysf/Edge-TTS")
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]
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# ----- Whisper ASR -----
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speech_to_text_model = pipeline("automatic-speech-recognition", model="openai/whisper-large-v3-turbo")
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# ----- Image models -----
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image_models = [
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pipeline("text-to-image", model="GD-ML/USP-Image_Generation"),
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pipeline("text-to-image", model="Qwen/Qwen-Image"),
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pipeline("text-to-image", model="Comfy-Org/Qwen-Image-DiffSynth-ControlNets"),
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pipeline("image-to-text", model="Salesforce/blip2-opt-2.7b"),
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pipeline("vision-to-text", model="Vision-CAIR/MiniGPT-4")
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]
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# ----- Video models -----
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video_models = [
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pipeline("text-to-video", model="sudip1987/Generate_videos_with_Veo3"),
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pipeline("text-to-video", model="ali-vilab/text-to-video-ms-1.7b")
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]
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# ----- Music model -----
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music_model = pipeline("text-to-music", model="sander-wood/text-to-music")
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# =============================
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# HELPER FUNCTIONS
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# =============================
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def merge_text_models(prompt):
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responses = []
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for model in text_models:
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try:
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out = model(prompt)[0]['generated_text']
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responses.append(out)
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except Exception as e:
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responses.append(f"[Model failed: {str(e)}]")
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return "\n---\n".join(responses)
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def generate_audio(text):
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audio_files = []
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for model in tts_models:
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try:
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audio_path = model(text)
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audio_files.append(audio_path)
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except Exception as e:
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audio_files.append(None)
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return audio_files[0] if audio_files else None
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def generate_images(text):
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imgs = []
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for model in image_models:
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try:
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img = model(text)[0]['image']
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imgs.append(img)
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except Exception as e:
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continue
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return imgs[:3] # Show top 3 images
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def generate_videos(text):
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vids = []
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for model in video_models:
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try:
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vid = model(text)
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vids.append(vid)
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except Exception as e:
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continue
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return vids[:1] # Show one video
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# =============================
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# MAIN ARK-AI FUNCTION
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# =============================
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def ark_ai_main(prompt):
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# Text
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text_output = merge_text_models(prompt)
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# Inject personality
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personality = "ARK-AI (fun, savage, chaotic-good) says:\n"
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full_text = personality + text_output
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# Media
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image_output = generate_images(prompt)
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video_output = generate_videos(prompt)
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audio_output = generate_audio(prompt)
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return full_text, image_output, video_output, audio_output
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# =============================
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# GRADIO INTERFACE
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# =============================
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iface = gr.Interface(
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fn=ark_ai_main,
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inputs=gr.Textbox(lines=3, placeholder="Ask ARK-AI anything..."),
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outputs=[
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gr.Textbox(label="ARK-AI Text Response"),
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gr.Gallery(label="Images Generated"),
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gr.Video(label="Video Generated"),
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gr.Audio(label="Audio Response")
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],
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title="ARK-AI Multi-Modal Assistant",
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description="ARK-AI: Savage, funny, chaotic-good AI assistant merging text, image, audio, and video models.",
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css="styles.css" # Optional: liquid-glass UI
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)
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iface.launch()
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