app.py

import os
import google.generativeai as genai
import gradio as gr
from PIL import Image
import moviepy.editor as mp

# 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")

# Analysis function
def analyze_content(content):
    if isinstance(content, str):  # Text content
        prompt = f"Analyze this text for any instances of gender-based discrimination and provide tips: {content}"
    elif isinstance(content, Image.Image):  # Image content
        content = content.convert("RGB")  # Convert image to RGB
        prompt = "Analyze this image for any instances of gender-based discrimination and provide tips."
        content = [prompt, content]  # The model expects list inputs for images
    else:  # Video content
        prompt = "Analyze this video for any instances of gender-based discrimination and provide tips."
        clip = mp.VideoFileClip(content.name)
        frame = clip.get_frame(1)  # Get a frame at t=1 second
        image = Image.fromarray(frame)
        image = image.convert("RGB")
        content = [prompt, image]  # Use a single frame for analysis

    generation_config = genai.types.GenerationConfig(
        temperature=0.5,
        max_output_tokens=300,
        stop_sequences=["\n"],
        top_k=40,
        top_p=0.9
    )
    response = model.generate_content(content, generation_config=generation_config)
    return response.text if response else "No response generated."

# Gradio interface setup
with gr.Blocks() as app:
    with gr.Tab("Upload Content"):
        input_content = gr.DataInput(label="Upload text, image, or video")
        output_analysis = gr.Textbox(label="Discrimination Analysis Output")
        analyze_button = gr.Button("Analyze Discrimination")
        analyze_button.click(
            fn=analyze_content,
            inputs=input_content,
            outputs=output_analysis
        )

app.launch()