change image type to pil

.gitattributes

@@ -33,3 +33,4 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -0,0 +1 @@
+venv

app.py

@@ -65,8 +65,6 @@ OUTPUT_EXPLANATION = """
 """
 
 # --- Example Data Setup ---
-# Assuming you have example images named 'blood_smear_1.jpg' and 'blood_smear_2.jpg'
-# in an 'examples' folder or the root directory.
 SAMPLE_EXAMPLES = [
     ["blood_smear_1.jpg", "Yolo V11", 0.5],
     ["blood_smear_2.jpg", "Real Time Detection Transformer", 0.45],
@@ -75,7 +73,6 @@ SAMPLE_EXAMPLES = [
 # ----------------- Core Inference Function -----------------
 
 def inference(image, model, conf) -> Tuple[str, str, str]:
-    # Ensure all inputs are valid before proceeding
     if image is None:
         gr.Error("Please upload an image.")
         return None, "0", "0"
@@ -144,7 +141,7 @@ with gr.Blocks(title="Blood Cell Detection") as ifer:
     with gr.Row():
         with gr.Column():
             gr.Markdown("## Step 1: Upload Image ")
-            image_input = gr.Image(label="Input Image", type="numpy")
+            image_input = gr.Image(label="Input Image", type="pil")
         with gr.Column():
             gr.Markdown("## Step 2: Set Parameters")
             model_selection = gr.Dropdown(

requirements.txt

@@ -1,2 +1,4 @@
 ultralytics
-gradio
+numpy<2
+gradio==3.50.2 
+gradio-client==0.6.1