Medical Analysis Files

.gitignore

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+.env

grad_app.py

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+import os
+import tempfile
+from dotenv import load_dotenv
+import google.generativeai as genai
+import gradio as gr
+from google.generativeai.types import HarmCategory, HarmBlockThreshold
+
+# Load environment variables
+load_dotenv()
+
+# Configure Google Gemini API
+genai.configure(api_key=os.getenv('gemini_key'))
+
+# Prompt template for detailed analysis
+system_prompt = """ 
+As a Highly Skilled medical practitioner specializing in image analysis, you are tasked with examining medical images for a renowned hospital.your expertise
+is crucial in idetifying any anomalies, diseases or health issues that maybe present in the images.
+
+Your Responsibilities:
+1. Detailed Analysis: Thoroughly analyze each image, focusing on identifying any abnormal findings.
+2. Finding reports: Document all observed anomalies or signs of diseases. Clearly articulate these findings in a Structured form.
+3. Recommendations and Next steps: Based on your analysis, suggest potential next steps, including further tests or treatment as applicable.
+4. if appropriate, recommend possible treatment options or interventions.
+
+Important notes:
+Scope of response: only respond if the image is related to human health.
+Clarity of image: In cases where the image quality impedes clear analysis, note that certian aspects are 'Unable to be determind based on the provided image.' 
+"""
+
+# Configuration for the generative model
+generation_config = {
+    "temperature": 1,
+    "top_p": 0.95,
+    "top_k": 64,
+    "max_output_tokens": 8192,
+    "response_mime_type": "text/plain",
+}
+
+def upload_to_gemini(path, mime_type=None):
+    """Uploads the given file to Gemini."""
+    file = genai.upload_file(path, mime_type=mime_type)
+    print(f"Uploaded file '{file.display_name}' as: {file.uri}")
+    return file
+
+# Create the generative model
+model = genai.GenerativeModel(
+    model_name="gemini-1.5-flash",
+    generation_config=generation_config,
+    safety_settings={
+        HarmCategory.HARM_CATEGORY_HATE_SPEECH: HarmBlockThreshold.BLOCK_NONE,
+        HarmCategory.HARM_CATEGORY_HARASSMENT: HarmBlockThreshold.BLOCK_LOW_AND_ABOVE,
+        HarmCategory.HARM_CATEGORY_SEXUALLY_EXPLICIT: HarmBlockThreshold.BLOCK_NONE,
+        HarmCategory.HARM_CATEGORY_DANGEROUS_CONTENT: HarmBlockThreshold.BLOCK_NONE,
+    }
+)
+
+def analyze_image(image_path):
+    # Ensure the uploaded file is one of the allowed types
+    allowed_extensions = ['.png', '.jpg', '.jpeg', '.webp']
+    _, ext = os.path.splitext(image_path)
+    if ext.lower() not in allowed_extensions:
+        return "Unsupported file type. Please upload a PNG, JPG, JPEG, or WEBP image."
+
+    # Upload the image to Gemini
+    uploaded_file_info = upload_to_gemini(image_path, mime_type="image/png")
+
+    # Create a chat session with the model and send the image for analysis
+    chat_session = model.start_chat(
+        history=[
+            {
+                "role": "user",
+                "parts": [
+                    uploaded_file_info,
+                    system_prompt,
+                ],
+            },
+        ]
+    )
+
+    response = chat_session.send_message(system_prompt)
+    return response.text
+
+# Gradio interface
+iface = gr.Interface(
+    fn=analyze_image,
+    inputs=gr.Image(type="filepath"),
+    outputs=gr.Textbox(label="Analysis Results"),
+    title="👨‍⚕️ Vital Image 📷 Analytics",
+    description="Upload a medical image to get a detailed analysis.",
+)
+
+if __name__ == "__main__":
+    iface.launch()

readme.md

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+# Vital Image Analytics
+
+Vital Image Analytics is an AI-powered application designed to assist healthcare professionals in analyzing medical images for diagnostic purposes. This README file provides an overview of the application, how to set it up, and how to use it effectively.
+
+## Features
+- Advanced AI Analysis: Utilizes state-of-the-art AI models to provide detailed analysis of medical images.
+- Comprehensive Reports: Generates reports including findings, recommendations, and next steps based on image analysis.
+- User-Friendly Interface: Easy-to-use interface with seamless image uploading and instant results.
+- Secure and Reliable: Built with robust security measures to protect patient data and ensure reliability.
+
+## Getting Started
+
+1) Clone the repository.
+2) Install dependencies
+```
+pip install -r requirements.txt
+```
+
+3) SetUp environment variables:
+- create a `.env` file in root directory 
+- add your gemini apu key 
+``` GEMINI_API_KEY=your_gemini_api_key_here ```
+
+## Usage
+ Launch the application: ``` python grad_app.py ```
+
+ ![alt text](image.png)
+
+
+## Contact
+For questions or inquiries about Vital Image Analytics, please contact at (saqibiqbal27772@gmail.com)
+

requirements.txt

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+google
+streamlit
+dotenv