Update app.py

app.py

@@ -28,6 +28,18 @@ def predict_image(img):
 sample_images_dir = "samples"
 sample_images = [os.path.join(sample_images_dir, f) for f in os.listdir(sample_images_dir) if f.endswith(('.jpg', '.png'))]
 
+# File download paths
+report_path = "report.pdf"
+notebook_path = "bfd.ipynb"
+
+# Function to provide file download links
+def get_download_links():
+    return f"""  
+    **Download Project Files:**  
+    - [Download Report (PDF)]({report_path})  
+    - [Download Notebook (IPYNB)]({notebook_path})  
+    """
+
 # Define Gradio Interface
 interface = gr.Interface(
     fn=predict_image,
@@ -36,23 +48,17 @@ interface = gr.Interface(
     examples=sample_images,  # Preloaded images for testing
     title="Bone Fracture Detection",
     description="Upload an X-ray image or select a sample image to check for fractures.",
-    article="""
+    article=f"""
     ## Instructions
-    - Type a question or statement
-    - Upload images or audio files
-    - You can combine text with media files
-    - Support 2 modalities at the same time
-    - The model can analyze images and transcribe audio
-    - For best results with images, use JPG or PNG files
-    - For audio, use WAV, MP3, or FLAC files
-
+    - Upload an X-ray image to check for fractures.
+    - Select a sample image for quick testing.
+    - The model will predict if the bone is fractured or normal.
+    
     ## Capabilities
-    This chatbot can:
-    - Answer questions and provide explanations
-    - Describe and analyze images
-    - Transcribe, translate, summarize, and analyze audio content
-    - Process multiple inputs in the same message
-    - Maintain context throughout the conversation
+    - Detects bone fractures from X-ray images.
+    - Uses a trained deep learning model for classification.
+    
+    {get_download_links()}  
     """
 )