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Update app.py
Browse files
app.py
CHANGED
@@ -8,7 +8,25 @@ 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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# Safety and instruction settings
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safety_settings = {
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@@ -17,24 +35,25 @@ safety_settings = {
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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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system_instructions = [
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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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# Function to analyze text
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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
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temperature=0.5,
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max_output_tokens=300,
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stop_sequences=["\n"],
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top_k=40,
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top_p=0.9,
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system_instructions=system_instructions,
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safety_settings=safety_settings
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)
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response = model.generate_content([prompt], generation_config=generation_config)
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return response.text if response else "No response generated."
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# Function to analyze images
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@@ -53,55 +72,19 @@ def analyze_image(image):
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response = model.generate_content([prompt, image], generation_config=generation_config)
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return response.text if response else "No response generated."
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# Function to analyze videos
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def analyze_video(video):
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prompt = "Analyze this video for any instances of gender-based discrimination and provide tips."
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clip = mp.VideoFileClip(video.name)
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frame = clip.get_frame(1) # Get a frame at t=1 second
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image = Image.fromarray(frame)
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image = image.convert("RGB")
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generation_config = genai.types.GenerationConfig(
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temperature=0.5,
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max_output_tokens=300,
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stop_sequences=["\n"],
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top_k=40,
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top_p=0.9,
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system_instructions=system_instructions,
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safety_settings=safety_settings
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)
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response = model.generate_content([prompt, image], generation_config=generation_config)
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return response.text if response else "No response generated."
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# Gradio interface setup
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with gr.Blocks() as app:
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with gr.Tab("Text Analysis"):
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text_input = gr.Textbox(label="Enter Text", placeholder="Type here...", lines=4)
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text_output = gr.Textbox(label="Analysis Output", lines=6)
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analyze_text_btn = gr.Button("Analyze Text")
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analyze_text_btn.click(
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fn=analyze_text,
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inputs=text_input,
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outputs=text_output
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)
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image_output = gr.Textbox(label="Analysis Output", lines=6)
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analyze_image_btn = gr.Button("Analyze Image")
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analyze_image_btn.click(
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fn=analyze_image,
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inputs=image_input,
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outputs=image_output
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)
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with gr.Tab("Video Analysis"):
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video_input = gr.Video(label="Upload Video")
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video_output = gr.Textbox(label="Analysis Output", lines=6)
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analyze_video_btn = gr.Button("Analyze Video")
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analyze_video_btn.click(
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fn=analyze_video,
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inputs=video_input,
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outputs=video_output
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)
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app.launch()
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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 = GenerativeModel(MODEL_ID)
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example_model = 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 = 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_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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prompt = """
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Analyze this text for any instances of gender-based discrimination and provide tips
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"""
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# Set contents to send to the model
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contents = [prompt]
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# Prompt the model to generate content
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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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# Function to analyze text
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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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response
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return response.text if response else "No response generated."
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# Function to analyze images
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response = model.generate_content([prompt, image], generation_config=generation_config)
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return response.text if response else "No response generated."
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# Gradio interface setup
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with gr.Blocks() as app:
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with gr.Tab("Text Analysis"):
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text_input = gr.Textbox(label="Enter Text", placeholder="Type here...", lines=4)
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analyze_text_btn = gr.Button("Analyze Text")
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text_output = gr.Textbox(label="Analysis Output", lines=6)
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analyze_text_btn.click(
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fn=analyze_text,
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inputs=text_input,
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outputs=text_output
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)
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app.launch()
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