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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()
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