Update README.md

README.md

@@ -28,9 +28,6 @@ widget:
     output:
       url: example.png
 
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-Absolutely! Here's an updated and more detailed version of the `README.md`, expanding the model description and its potential applications:
-
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 #  Symptom-to-Medical-Image Generator
@@ -61,11 +58,11 @@ This is a **domain-adapted diffusion model** tailored to generate realistic medi
 
 | Application Area                | Description                                                                                                                              |
 | ------------------------------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
-| 🧪 **Medical Research**         | Generate datasets for hypothesis testing or model training without using real patient data.                                              |
-| 📚 **Education & Training**     | Teach students about correlations between symptoms and imaging in an interactive way.                                                    |
-| 🧠 **AI-Aided Prototyping**     | Test downstream diagnostic pipelines on synthetic but realistic image data.                                                              |
-| 🖼️ **Data Augmentation**       | Enrich datasets for training classification/segmentation models.                                                                         |
-| 🤖 **Prompt-Based Exploration** | Investigate how changes in symptoms affect image generation (e.g., how “fever + cough” differs from “chest pain + shortness of breath”). |
+|  **Medical Research**         | Generate datasets for hypothesis testing or model training without using real patient data.                                              |
+|  **Education & Training**     | Teach students about correlations between symptoms and imaging in an interactive way.                                                    |
+|  **AI-Aided Prototyping**     | Test downstream diagnostic pipelines on synthetic but realistic image data.                                                              |
+|  **Data Augmentation**       | Enrich datasets for training classification/segmentation models.                                                                         |
+|  **Prompt-Based Exploration** | Investigate how changes in symptoms affect image generation (e.g., how “fever + cough” differs from “chest pain + shortness of breath”). |
 
 ### Not for Use In:
 
@@ -79,7 +76,7 @@ This is a **domain-adapted diffusion model** tailored to generate realistic medi
 
 ### Input Prompt:
 
-> "A 45-year-old patient with severe chest pain, shortness of breath, and abnormal lung sounds."
+> "I've been feeling really out of breath lately, especially when I'm walking up a flight of stairs or doing some light exercise. It's like my chest gets tight and I can't catch my breath. "
 
 ### Output:
 
@@ -89,7 +86,7 @@ This is a **domain-adapted diffusion model** tailored to generate realistic medi
 
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-## 🛠️ Under the Hood
+##  Under the Hood
 
 * **Base Model**: `CompVis/stable-diffusion-v1-4`
 * **Fine-tuning Method**: LoRA (efficient, parameter-light adaptation)
@@ -98,7 +95,7 @@ This is a **domain-adapted diffusion model** tailored to generate realistic medi
 
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-## ⚠️ Ethical & Legal Disclaimer
+##  Ethical & Legal Disclaimer
 
 This model is strictly intended for **research and educational** use. It is **not a substitute for professional medical judgment**. Use of synthetic medical images should follow all local regulatory and ethical guidelines.