import os
import google.generativeai as genai
import gradio as gr
from PIL import Image
import moviepy.editor as mp
from google.generativeai.types import HarmBlockThreshold, HarmCategory

# Configure Google API Key and model
GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
genai.configure(api_key=GOOGLE_API_KEY)
model = genai.GenerativeModel("gemini-1.5-pro-latest")

# Safety and instruction settings
safety_settings = {
    HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
    HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
}
system_instructions = [
    "You are an advocate against gender-based violence.",
    "Analyze the content for signs of gender discrimination and provide actionable advice."
]

# Function to analyze text
def analyze_text(text):
    prompt = f"Analyze this text for any instances of gender-based discrimination and provide tips: {text}"
    generation_config = genai.types.GenerationConfig(
        temperature=0.5,
        max_output_tokens=300,
        stop_sequences=["\n"],
        top_k=40,
        top_p=0.9,
        system_instructions=system_instructions,
        safety_settings=safety_settings
    )
    response = model.generate_content([prompt], generation_config=generation_config)
    return response.text if response else "No response generated."

# Function to analyze images
def analyze_image(image):
    image = image.convert("RGB")  # Convert image to RGB
    prompt = "Analyze this image for any instances of gender-based discrimination and provide tips."
    generation_config = genai.types.GenerationConfig(
        temperature=0.5,
        max_output_tokens=300,
        stop_sequences=["\n"],
        top_k=40,
        top_p=0.9,
        system_instructions=system_instructions,
        safety_settings=safety_settings
    )
    response = model.generate_content([prompt, image], generation_config=generation_config)
    return response.text if response else "No response generated."

# Function to analyze videos
def analyze_video(video):
    prompt = "Analyze this video for any instances of gender-based discrimination and provide tips."
    clip = mp.VideoFileClip(video.name)
    frame = clip.get_frame(1)  # Get a frame at t=1 second
    image = Image.fromarray(frame)
    image = image.convert("RGB")
    generation_config = genai.types.GenerationConfig(
        temperature=0.5,
        max_output_tokens=300,
        stop_sequences=["\n"],
        top_k=40,
        top_p=0.9,
        system_instructions=system_instructions,
        safety_settings=safety_settings
    )
    response = model.generate_content([prompt, image], generation_config=generation_config)
    return response.text if response else "No response generated."

# Gradio interface setup
with gr.Blocks() as app:
    with gr.Tab("Text Analysis"):
        text_input = gr.Textbox(label="Enter Text", placeholder="Type here...", lines=4)
        text_output = gr.Textbox(label="Analysis Output", lines=6)
        analyze_text_btn = gr.Button("Analyze Text")
        analyze_text_btn.click(
            fn=analyze_text,
            inputs=text_input,
            outputs=text_output
        )
    
    with gr.Tab("Image Analysis"):
        image_input = gr.Image(label="Upload Image")
        image_output = gr.Textbox(label="Analysis Output", lines=6)
        analyze_image_btn = gr.Button("Analyze Image")
        analyze_image_btn.click(
            fn=analyze_image,
            inputs=image_input,
            outputs=image_output
        )

    with gr.Tab("Video Analysis"):
        video_input = gr.Video(label="Upload Video")
        video_output = gr.Textbox(label="Analysis Output", lines=6)
        analyze_video_btn = gr.Button("Analyze Video")
        analyze_video_btn.click(
            fn=analyze_video,
            inputs=video_input,
            outputs=video_output
        )

app.launch()