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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_ID = "gemini-1.5-pro-002"
model = GenerativeModel(MODEL_ID)
example_model = GenerativeModel(
MODEL_ID,
system_instruction=[
"You are an advocate against gender-based violence.",
"Analyze the content for signs of gender discrimination and provide actionable advice."
],
)
# Set model parameters
generation_config = GenerationConfig(
temperature=0.9,
top_p=1.0,
top_k=32,
candidate_count=1,
max_output_tokens=8192,
)
# 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,
}
prompt = """
Analyze this text for any instances of gender-based discrimination and provide tips
"""
# Set contents to send to the model
contents = [prompt]
# Prompt the model to generate content
response = example_model.generate_content(
contents,
generation_config=generation_config,
safety_settings=safety_settings,
)
# Function to analyze text
def analyze_text(text):
prompt = f"Analyze this text for any instances of gender-based discrimination and provide tips{text}"
response
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."
# 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)
analyze_text_btn = gr.Button("Analyze Text")
text_output = gr.Textbox(label="Analysis Output", lines=6)
analyze_text_btn.click(
fn=analyze_text,
inputs=text_input,
outputs=text_output
)
app.launch()
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