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Update app.py
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app.py
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# Custom CSS for branding and animation
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css = """
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body { font-family: 'Arial', sans-serif; background-color: #E8F0FE; }
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@keyframes blink-animation { 50% { opacity: 0; } }
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"""
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# Gradio interface setup
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with gr.Blocks(css=css) as app:
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gr.Markdown("<div id='logo'>J<span>ustEva</span></div>")
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outputs=text_output
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)
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app.launch()
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import os
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import google.generativeai as genai
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import gradio as gr
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from google.generativeai.types import HarmBlockThreshold, HarmCategory
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# Configure Google API Key and model
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GOOGLE_API_KEY = os.environ.get("GOOGLE_API_KEY")
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genai.configure(api_key=GOOGLE_API_KEY)
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MODEL_ID = "gemini-1.5-pro-002"
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model = genai.GenerativeModel(MODEL_ID)
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example_model = genai.GenerativeModel(
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MODEL_ID,
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system_instruction=[
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"You are an advocate against gender-based violence.",
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"Analyze the content for signs of gender discrimination and provide actionable advice."
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],
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)
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# Set model parameters
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generation_config = genai.GenerationConfig(
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temperature=0.9,
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top_p=1.0,
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top_k=32,
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candidate_count=1,
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max_output_tokens=8192,
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)
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# Safety and instruction settings
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safety_settings = {
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HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
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HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
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HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
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HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
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}
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# Function to analyze text with error handling
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def analyze_text(text):
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prompt = f"Analyze this text for any instances of gender-based discrimination and provide tips: {text}"
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contents = [prompt]
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response = example_model.generate_content(
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contents,
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generation_config=generation_config,
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safety_settings=safety_settings,
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)
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return response.text if response else "No response generated."
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# Custom CSS for branding and animation
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css = """
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body { font-family: 'Arial', sans-serif; background-color: #E8F0FE; }
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@keyframes blink-animation { 50% { opacity: 0; } }
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"""
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# Example scenarios for gender discrimination analysis
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example_scenarios = [
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"During a team meeting, whenever a female colleague tried to express her opinion, she was often interrupted or talked over by male colleagues.",
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"The feedback given to female employees often focuses more on their demeanor and less on their actual accomplishments.",
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"Male employees are more frequently considered for promotions and challenging projects, even when female employees have similar or superior qualifications.",
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"During a hiring panel, female candidates were often asked about their personal life, family plans, and how they would balance home and work.",
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"There are significant wage discrepancies between male and female employees who hold the same position and possess comparable experience.",
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"Some male colleagues often make inappropriate jokes or comments about female employees' appearances and attire."
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]
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# Gradio interface setup
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with gr.Blocks(css=css) as app:
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gr.Markdown("<div id='logo'>J<span>ustEva</span></div>")
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outputs=text_output
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)
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app.launch()
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