Update app.py

app.py

@@ -3,48 +3,105 @@ 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 = 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
+# 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,
+}
+system_instructions = [
+    "You are an advocate against gender-based violence.",
+    "Analyze the content for signs of gender discrimination and provide actionable advice."
+]
 
+# Function to analyze text
+def analyze_text(text):
+    prompt = f"Analyze this text for any instances of gender-based discrimination and provide tips: {text}"
     generation_config = genai.types.GenerationConfig(
         temperature=0.5,
         max_output_tokens=300,
         stop_sequences=["\n"],
         top_k=40,
-        top_p=0.9
+        top_p=0.9,
+        system_instructions=system_instructions,
+        safety_settings=safety_settings
     )
-    response = model.generate_content(content, generation_config=generation_config)
+    response = model.generate_content([prompt], generation_config=generation_config)
+    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."
+
+# Function to analyze videos
+def analyze_video(video):
+    prompt = "Analyze this video for any instances of gender-based discrimination and provide tips."
+    clip = mp.VideoFileClip(video.name)
+    frame = clip.get_frame(1)  # Get a frame at t=1 second
+    image = Image.fromarray(frame)
+    image = image.convert("RGB")
+    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("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
+    with gr.Tab("Text Analysis"):
+        text_input = gr.Textbox(label="Enter Text", placeholder="Type here...", lines=4)
+        text_output = gr.Textbox(label="Analysis Output", lines=6)
+        analyze_text_btn = gr.Button("Analyze Text")
+        analyze_text_btn.click(
+            fn=analyze_text,
+            inputs=text_input,
+            outputs=text_output
+        )
+    
+    with gr.Tab("Image Analysis"):
+        image_input = gr.Image(label="Upload Image")
+        image_output = gr.Textbox(label="Analysis Output", lines=6)
+        analyze_image_btn = gr.Button("Analyze Image")
+        analyze_image_btn.click(
+            fn=analyze_image,
+            inputs=image_input,
+            outputs=image_output
+        )
+
+    with gr.Tab("Video Analysis"):
+        video_input = gr.Video(label="Upload Video")
+        video_output = gr.Textbox(label="Analysis Output", lines=6)
+        analyze_video_btn = gr.Button("Analyze Video")
+        analyze_video_btn.click(
+            fn=analyze_video,
+            inputs=video_input,
+            outputs=video_output
         )
 
 app.launch()