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import gradio as gr
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import numpy as np
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import io
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import base64
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import pathlib
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import textwrap
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import os
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os.environ['PORT1'] = '8080'
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from IPython.display import display
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from IPython.display import Markdown
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import google.generativeai as genai
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from PIL import Image
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from dotenv import load_dotenv
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load_dotenv()
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genai.configure(api_key=os.getenv("GOOGLE_API_KEY"))
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def to_markdown(text):
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text = text.replace('•', ' *')
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return Markdown(textwrap.indent(text, '> ', predicate=lambda _: True))
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model = genai.GenerativeModel('gemini-1.5-pro')
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def generate_aid(image):
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response = model.generate_content(["Analyze the uploaded image to identify the condition or injury. "
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"Do not provide any information outside of medical diagnosis, treatment, or first-aid steps. "
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"Do not provide any general information, non-medical advice, or off-topic responses."
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"Provide a detailed response in the following structured format: "
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"Condition Detected: Name of the condition or injury (e.g., Minor Burn, Bruise, Infection). "
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"Severity Level: Mild, Moderate, or Severe (based on visual analysis). "
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"Symptoms Identified: List the symptoms visible in the image (e.g., redness, swelling, bruising). "
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"Immediate First-Aid Steps:Provide clear and actionable steps to address the condition. "
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"When to Seek Medical Help: Mention signs that require professional attention (e.g., severe pain, signs of infection). "
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"Preventive Tips (Optional) Suggest ways to prevent similar injuries in the future. "
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"End with a reminder: 'Consult a healthcare professional if symptoms worsen or persist.'",
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image])
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return response.text
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interface = gr.Interface(fn=generate_aid,
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inputs=gr.Image(label="Upload or Capture Image", type="pil"),
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outputs=gr.Textbox(label="QuickAid to the Rescue! 🚑",placeholder="Hang tight, your QuickAid guide is on its way..."),
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title="QuickAid: Your Pocket First-Aid Companion",
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description=("Please note that while the model works to offer the most accurate advice possible, the results may occasionally vary."
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"To enhance accuracy, future updates will allow you to provide additional context such as age and highlight areas of concern in the image, A symptom checker and more user inputs will also be integrated to improve precision."
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"For now, results might not be perfect, so it's always best to consult a healthcare professional if you're unsure or if symptoms persist."),
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allow_flagging="never",
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examples=["/content/B1.jpg", "/content/B2.jpg"])
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interface.launch(debug = True)
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