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AccentDetector
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from Summarizer_Agent import Summarizer
import gradio as gr

summarizer=Summarizer()
flags = {
    "us": "🇺🇸",
    "england": "🏴",         
    "australia": "🇦🇺",
    "indian": "🇮🇳",          
    "canada": "🇨🇦",
    "bermuda": "🇧🇲",
    "scotland": "🏴",        
    "african": "🌍",         
    "ireland": "🇮🇪",
    "newzealand": "🇳🇿",
    "wales": "🏴",           
    "malaysia": "🇲🇾",
    "philippines": "🇵🇭",
    "singapore": "🇸🇬",
    "hongkong": "🇭🇰",
    "southatlandtic": "🌊"   
}
def process_youtube(url):
    try:
        summary = summarizer.summarize(url)
        accent_info = summarizer.classify(url)
        
        accent = accent_info["label"]
        flag = flags.get(accent.lower(), "🏳️")  # fallback to white flag if not found
        accent_display = f"{flag} {accent.capitalize()}"
        
        return summary, accent_display, accent_info["score"]
    except Exception as e:
        return f"Error: {e}"

demo = gr.Interface(
    fn=process_youtube,
    inputs=gr.Textbox(label="public video  URL", placeholder="Enter public video link here..."),
    outputs=[
        gr.Textbox(label="Candidate Summary", lines=10),
        gr.Textbox(label="Detected Accent"),
        gr.Slider(label="Confidence Score (%)", minimum=0, maximum=1, step=0.001, interactive=False)

    ],
    title="Interview Audio Summarizer",
    description="Paste an interview video link. The app will summarize the candidate's response and detect the speaker's accent."
)

if __name__=="__main__":
    demo.launch()