working

app.py

@@ -2,13 +2,18 @@ import gradio as gr
 from transformers import AutoModel
 from PIL import Image
 import torch
+import os
 
 # Load the model
 model = AutoModel.from_pretrained("ECOFRI/CXR-LLAVA-v2", trust_remote_code=True)
 model = model.to("cuda" if torch.cuda.is_available() else "cpu")
 
 # Define the function to generate the report
-def generate_report(image):
+def generate_report(image, api_key):
+    # Check the API key
+    if api_key != os.getenv("API_KEY"):
+        return "Unauthorized access. Invalid API key."
+
     image = Image.open(image).convert("RGB")
     response = model.write_radiologic_report(image)
     return response
@@ -16,11 +21,11 @@ def generate_report(image):
 # Create the Gradio interface
 interface = gr.Interface(
     fn=generate_report,
-    inputs=gr.inputs.Image(type="file", label="Upload Chest X-ray Image"),
-    outputs=gr.outputs.Textbox(label="Radiologic Report"),
+    inputs=[gr.Image(type="filepath", label="Upload Chest X-ray Image"), gr.Textbox(label="API Key")],
+    outputs=gr.Textbox(label="Radiologic Report"),
     title="Chest X-ray Report Generator",
     description="Upload a chest X-ray image to generate a radiologic report using the CXR-LLAVA-v2 model."
 )
 
-# Launch the interface
-interface.launch()
+# Launch the interface with API enabled
+interface.launch(share=True)