Create app.py

app.py

@@ -0,0 +1,141 @@
+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()