Delete app.py

app.py

@@ -1,141 +0,0 @@
-import os
-from PIL import Image
-import google.generativeai as genai
-import gradio as gr
-
-# 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-latest"
-model = genai.GenerativeModel(MODEL_ID)
-
-example_model = genai.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 = genai.GenerationConfig(
-    temperature=0.9,
-    top_p=1.0,
-    top_k=32,
-    candidate_count=1,
-    max_output_tokens=8192,
-)
-
-# Safety and instruction settings
-safety_settings = {
-    genai.types.HarmCategory.HARM_CATEGORY_HARASSMENT: genai.types.HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
-    genai.types.HarmCategory.HARM_CATEGORY_HATE_SPEECH: genai.types.HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
-    genai.types.HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: genai.types.HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
-    genai.types.HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: genai.types.HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
-}
-
-def analyze_text(text):
-    prompt = f"Analyze this text for any instances of gender-based discrimination and provide tips: {text}"
-    response = example_model.generate_content(
-        [prompt],
-        generation_config=generation_config,
-        safety_settings=safety_settings,
-    )
-    return response.text if response else "No response generated."
-
-def analyze_image(image: Image.Image) -> str:
-    """Analyzes the uploaded image for gender-based discrimination."""
-    prompt = "Analyze this image for any instances of gender-based discrimination and provide actionable advice."
-    resized_image = preprocess_image(image)  # Resize the image to the required size
-    response = example_model.generate_content(
-        [prompt, resized_image],
-        generation_config=generation_config,
-        safety_settings=safety_settings,
-    )
-    return response.text if response else "No response generated."
-
-def preprocess_image(image: Image.Image) -> Image.Image:
-    """Resizes the image maintaining aspect ratio."""
-    image_height = int(image.height * 512 / image.width)
-    return image.resize((512, image_height))
-
-    # Example scenarios for gender discrimination analysis
-example_scenarios = [
-    "During a team meeting, whenever a female colleague tried to express her opinion, she was often interrupted or talked over by male colleagues.",
-    "The feedback given to female employees often focuses more on their demeanor and less on their actual accomplishments.",
-    "Male employees are more frequently considered for promotions and challenging projects, even when female employees have similar or superior qualifications.",
-    "During a hiring panel, female candidates were often asked about their personal life, family plans, and how they would balance home and work.",
-    "There are significant wage discrepancies between male and female employees who hold the same position and possess comparable experience.",
-    "Some male colleagues often make inappropriate jokes or comments about female employees' appearances and attire."
-]
-
-example_images = [["ex1.jpg"],["ex2.png"]]
-
-css_style = """
-   body, .gradio-container {
-        background-color: #020308; /* Replace with your preferred color */
-    }
-    
-    #logo {
-        display: flex;
-        justify-content: center;
-        font-size: 3em;
-        font-weight: bold;
-        letter-spacing: 3px;
-    }
-    .letter {
-        opacity: 0;
-        animation: fadeIn 0.1s forwards;
-    }
-.letter.j { animation-delay: 0s; color: #4285F4; }  /* Blue */
-.letter.u { animation-delay: 0.1s; color: #3A9CF1; }
-.letter.s { animation-delay: 0.2s; color: #32B3EE; }
-.letter.t { animation-delay: 0.3s; color: #2BC9EA; }
-.letter.e { animation-delay: 0.4s; color: #23E0E7; }
-.letter.v { animation-delay: 0.5s; color: #1BF7E4; }
-.letter.a { animation-delay: 0.6s; color: #14F0B5; }  /* Greenish */
-@keyframes fadeIn {
-    0% { opacity: 0; transform: translateY(-20px); }
-    100% { opacity: 1; transform: translateY(0); }
-}
- """
-
-
-# Gradio interface setup
-with gr.Blocks(css=css_style) as app:
-    gr.HTML("""
-        <div id="logo">
-            <span class="letter j">J</span>
-            <span class="letter u">u</span>
-            <span class="letter s">s</span>
-            <span class="letter t">t</span>
-            <span class="letter e">E</span>
-            <span class="letter v">v</span>
-            <span class="letter a">a</span>
-        </div>
-    """)
-    gr.Markdown("<h1 style='text-align: center; color:#f0f0f0;'>Promotes Gender Equality in Every Conversation</h1>")
-    gr.Markdown("<p style='text-align: center; font-size: 16px; color: #f0f0f0;'>Powered by Gemini to advocate against gender-based violence</p>")
-    with gr.Tab("Text Analysis"):
-        text_input = gr.Textbox(label="Enter Text or Select an Example", placeholder="Type here or select an example...", lines=4)
-        text_output = gr.Textbox(label="Analysis Output", lines=6)
-        analyze_text_btn = gr.Button("Analyze Text")
-        examples = gr.Examples(
-            examples=example_scenarios,
-            inputs=text_input,
-            outputs=text_output
-        )
-        analyze_text_btn.click(analyze_text, inputs=text_input, outputs=text_output)
-
-    with gr.Tab("Image Analysis"):
-        image_input = gr.Image(label="Upload Image(e.g., screenshot, photos, etc.)", type="pil")
-        image_output = gr.Textbox(label="Analysis Output", lines=6)
-        analyze_image_btn = gr.Button("Analyze Image")
-        examples = gr.Examples(
-            examples=example_images,
-            inputs=image_input,
-            outputs=image_output
-        )
-        analyze_image_btn.click(analyze_image, inputs=image_input, outputs=image_output)
-
-app.launch()