push final fix

mediSync/app.py

@@ -453,8 +453,8 @@ def create_interface():
                     )
 
                 with gr.Column():
-                    multi_results = gr.HTML(label="Analysis Results")
-                    multi_plot = gr.HTML(label="Visualization")
+                    multi_results = gr.HTML(label="Analysis Results", api_name=False)
+                    multi_plot = gr.HTML(label="Visualization", api_name=False)
 
             # Set up examples if sample image exists
             if sample_image_path:
@@ -462,6 +462,7 @@ def create_interface():
                     examples=[[sample_image_path, example_report]],
                     inputs=[multi_img_input, multi_text_input],
                     label="Example X-ray and Report",
+                    api_name=False,
                 )
 
         with gr.Tab("Image Analysis"):
@@ -472,9 +473,9 @@ def create_interface():
                     img_analyze_btn = gr.Button("Analyze Image", variant="primary")
 
                 with gr.Column():
-                    img_output = gr.Image(label="Processed Image")
-                    img_results = gr.HTML(label="Analysis Results")
-                    img_plot = gr.HTML(label="Visualization")
+                    img_output = gr.Image(label="Processed Image", api_name=False)
+                    img_results = gr.HTML(label="Analysis Results", api_name=False)
+                    img_plot = gr.HTML(label="Visualization", api_name=False)
 
             # Set up example if sample image exists
             if sample_image_path:
@@ -482,6 +483,7 @@ def create_interface():
                     examples=[[sample_image_path]],
                     inputs=[img_input],
                     label="Example X-ray Image",
+                    api_name=False,
                 )
 
         with gr.Tab("Text Analysis"):
@@ -496,15 +498,16 @@ def create_interface():
                     text_analyze_btn = gr.Button("Analyze Text", variant="primary")
 
                 with gr.Column():
-                    text_output = gr.Textbox(label="Processed Text")
-                    text_results = gr.HTML(label="Analysis Results")
-                    text_plot = gr.HTML(label="Entity Visualization")
+                    text_output = gr.Textbox(label="Processed Text", api_name=False)
+                    text_results = gr.HTML(label="Analysis Results", api_name=False)
+                    text_plot = gr.HTML(label="Entity Visualization", api_name=False)
 
             # Set up example
             gr.Examples(
                 examples=[[example_report]],
                 inputs=[text_input],
                 label="Example Medical Report",
+                api_name=False,
             )
 
         with gr.Tab("About"):

requirements.txt

@@ -1,11 +1,11 @@
-torch>=2.0.0
-transformers>=4.30.0
-datasets>=2.12.0
-pillow>=9.0.0
-matplotlib>=3.7.0
-pandas>=2.0.0
-numpy>=1.24.0
-scikit-learn>=1.2.0
-gradio>=5.20.1
-huggingface_hub>=0.16.0
-opencv-python>=4.7.0 
+torch
+transformers
+datasets
+pillow
+matplotlib
+pandas
+numpy
+scikit-learn
+gradio
+huggingface_hub
+opencv-python