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Update app.py
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app.py
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@@ -103,6 +103,10 @@ def predict_xray(image):
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<p><b>Confidence:</b> {confidence:.2f}%</p>
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<p><b>Note:</b> The model is not confident enough to provide a clear diagnosis.</p>
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<p><b>Recommendation:</b> Please consult a radiologist or upload a better-quality image.</p>
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</div>
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"""
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@@ -113,6 +117,10 @@ def predict_xray(image):
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<p><b>Confidence:</b> {confidence:.2f}%</p>
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<p><b>Description:</b> {info['description']}</p>
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<p><b>Recommendation:</b> {info['recommendation']}</p>
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</div>
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"""
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@@ -139,7 +147,7 @@ def analyze_report(file):
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condition, disease, status = "Fracture", "Bone Injury", "Orthopedic Attention Required"
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preview = text[:300] + "..." if text else "No readable content."
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return f"Condition: {condition}\nDisease: {disease}\nStatus: {status}\n\nPreview:\n{preview}"
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except Exception as e:
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return f"Failed to process PDF: {str(e)}"
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@@ -153,12 +161,14 @@ def create_interface():
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with gr.TabItem("X-ray Analysis"):
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img_input = gr.Image(label="Upload Chest X-ray", type="pil")
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img_output = gr.HTML()
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gr.
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with gr.TabItem("Report Analysis"):
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pdf_input = gr.File(label="Upload PDF Report", file_types=[".pdf"])
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pdf_output = gr.Textbox(label="Extracted Summary", lines=10)
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gr.
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return demo
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<p><b>Confidence:</b> {confidence:.2f}%</p>
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<p><b>Note:</b> The model is not confident enough to provide a clear diagnosis.</p>
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<p><b>Recommendation:</b> Please consult a radiologist or upload a better-quality image.</p>
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</div>, <div style="font-family:Arial">
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<h4>Summary:</h4>
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<p><b>Diagnosis:</b> Uncertain</p>
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<p><b>Confidence Level:</b> {confidence:.2f}%</p>
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</div>
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"""
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<p><b>Confidence:</b> {confidence:.2f}%</p>
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<p><b>Description:</b> {info['description']}</p>
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<p><b>Recommendation:</b> {info['recommendation']}</p>
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</div>, <div style="font-family:Arial">
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<h4>Summary:</h4>
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<p><b>Diagnosis:</b> {top_condition}</p>
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<p><b>Confidence Level:</b> {confidence:.2f}%</p>
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</div>
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"""
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condition, disease, status = "Fracture", "Bone Injury", "Orthopedic Attention Required"
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preview = text[:300] + "..." if text else "No readable content."
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return f"Condition: {condition}\nDisease: {disease}\nStatus: {status}\n\nPreview:\n{preview}, <h4>Summary:</h4><p><b>Condition:</b> {condition}</p><p><b>Status:</b> {status}</p>"
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except Exception as e:
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return f"Failed to process PDF: {str(e)}"
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with gr.TabItem("X-ray Analysis"):
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img_input = gr.Image(label="Upload Chest X-ray", type="pil")
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img_output = gr.HTML()
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summary_output = gr.HTML(label="Summary Result")
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gr.Button("Analyze X-ray").click(predict_xray, inputs=img_input, outputs=[img_output, summary_output])
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with gr.TabItem("Report Analysis"):
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pdf_input = gr.File(label="Upload PDF Report", file_types=[".pdf"])
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pdf_output = gr.Textbox(label="Extracted Summary", lines=10)
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summary_output_report = gr.Textbox(label="Summary Result", lines=5)
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gr.Button("Analyze Report").click(analyze_report, inputs=pdf_input, outputs=[pdf_output, summary_output_report])
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return demo
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