Update app.py

app.py

@@ -9,11 +9,7 @@ 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, api_key):
-    # Check the API key
-    if api_key != os.getenv("API_KEY"):
-        return "Unauthorized access. Invalid API key."
-
+def generate_report(image):
     image = Image.open(image).convert("RGB")
     response = model.write_radiologic_report(image)
     return response
@@ -21,10 +17,10 @@ def generate_report(image, api_key):
 # Create the Gradio interface
 interface = gr.Interface(
     fn=generate_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."
+    inputs=[gr.Image(type="filepath", label="Upload Image"), gr.Textbox(label="API Key")],
+    outputs=gr.Textbox(label="Report"),
+    title="CXR Report Creator",
+    description="Upload an image to use with the CXR-LLAVA-v2 model."
 )
 
 # Launch the interface with API enabled