import gradio as gr
from typing import Dict

# from src.application.services import InterviewAnalyzer
# from src.infrastructure.llm import LangchainService
# from src.infrastructure.emotion import DeepFaceService
# from src.infrastructure.speech import GoogleSpeechService


# class GradioInterface:
#     def __init__(self):
#         # Initialize services
#         self.emotion_service = DeepFaceService()
#         self.speech_service = GoogleSpeechService()
#         self.llm_service = LangchainService()
#
#         # Initialize analyzer
#         self.analyzer = InterviewAnalyzer(
#             emotion_service=self.emotion_service,
#             speech_service=self.speech_service,
#             llm_service=self.llm_service,
#         )
#
#     def create_interface(self) -> gr.Interface:
#         def process_submission(
#             video_file: str, resume_file: str, job_requirements: str
#         ) -> Dict:
#             # Implementation for processing submission
#             pass
#
#         # Create Gradio interface
#         interface = gr.Interface(
#             fn=process_submission,
#             inputs=[
#                 gr.Video(label="Interview Recording"),
#                 gr.File(label="Resume"),
#                 gr.Textbox(label="Job Requirements", lines=5),
#             ],
#             outputs=gr.JSON(label="Analysis Results"),
#             title="HR Interview Analysis System",
#             description="Upload interview recording and resume to analyze candidate performance",
#         )
#
#         return interface


# Testing to setup the simple interface
class GradioInterface:
    def create_interface(self) -> gr.Interface:
        def process_submission(
            video_file: str, resume_file: str, job_requirements: str
        ) -> Dict:
            # Implementation for processing submission
            pass

        # Create Gradio interface
        interface = gr.Interface(
            fn=process_submission,
            inputs=[
                gr.Video(label="Interview Recording"),
                gr.File(label="Resume"),
                gr.Textbox(label="Job Requirements", lines=5),
            ],
            outputs=gr.JSON(label="Analysis Results"),
            title="HR Interview Analysis System",
            description="Upload interview recording and resume to analyze candidate performance",
        )

        return interface


def launch_app():
    print(gr.__version__)
    app = GradioInterface()
    interface = app.create_interface()
    interface.launch()


if __name__ == "__main__":
    launch_app()