Add application files

app.py

@@ -19,7 +19,7 @@ def greet(name1, name2):
     str3_huggingface = "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"   # huggingface
     str4_input = name2
     
-    '''
+    
     with open('abstractsave.txt', 'w') as f:
         f.write(str4_input)
     
@@ -70,79 +70,16 @@ def greet(name1, name2):
     
     # Convert the key-value pairs into a table format (a list of lists)
     df_pred = pd.DataFrame(key_value_pairs, columns = ["Ontology Attribute", "Value"]).iloc[:19,:]
-    '''
-    
-    # Generate a DataFrame with 50 rows and 2 columns filled with random numbers
-    num_rows = 50
-    num_cols = 2
-    import numpy as np
-    data = np.random.rand(num_rows, num_cols)
-
-    # Create a DataFrame
-    df_pred = pd.DataFrame(data, columns=['Column1', 'Column2'])
     
     html_output = df_pred.to_html()
     
-    # Add an id to the HTML table for reference in the JavaScript function
-    html_output = html_output.replace("<table ", "<table id='output-table' ")
-    
     # Save the CSV data to a temporary file
     with tempfile.NamedTemporaryFile(delete=False, suffix=".csv") as temp_file:
         df_pred.to_csv(temp_file.name, index=False)
         csv_output = temp_file.name
 
-    # Create a button to toggle table view and a script to handle the button click
-    # Create a button to toggle table view and a script to handle the button click
-    show_more_button = """
-    <button onclick="toggleTableView()">Show More</button>
-    <script>
-        var isFullTableShown = false;
-        function toggleTableView() {
-            console.log('toggleTableView function called'); // Debugging line
-            var table = document.getElementById('output-table');
-            var rows = table.getElementsByTagName('tr');
-            console.log('Number of rows in table: ' + rows.length); // Debugging line
-            for (var i = 16; i < rows.length; i++) {
-                if (isFullTableShown) {
-                    rows[i].style.display = 'none';
-                } else {
-                    rows[i].style.display = '';
-                }
-            }
-            isFullTableShown = !isFullTableShown;
-            console.log('isFullTableShown status: ' + isFullTableShown); // Debugging line
-            document.querySelector('button').textContent = isFullTableShown ? 'Show Less' : 'Show More';
-        }
-    </script>
-    """
-    
-        # Initial CSS to hide rows beyond the 15th
-    initial_css = """
-    <style>
-        #output-table tr:nth-child(n+16) {
-            display: none;
-        }
-    </style>
-    """
-    # ... previous code ...
-
-    # Combine the initial CSS, HTML table, and the Show More button
-    html_output = initial_css + html_output + show_more_button
-
     return html_output, csv_output
-#     return df_pred.to_html()
-
-####     output_string1, error_string1=run_command("poetry")# ontogpt")
 
-    
-#     return location
-    # For the purpose of this example, I'm just returning the values concatenated
-#     return f"Inputs received: {str1} \n, {str2}, {str3}, {str4}, '--------------',   '--------------', {output_string1},{error_string1},{output_string2},{error_string2},{output}"
-#     #     return location
-    # For the purpose of this example, I'm just returning the values concatenated
-#     return f"{str4_input}"
-
-# Define 5 text input boxes with labels
 input_boxes = [
     gr.inputs.Textbox(label="openai api key"),
     gr.inputs.Textbox(lines=20, label="Input cencer report", placeholder='Type text here...'),
@@ -153,7 +90,7 @@ disclaimer = (
     "If you need support, please contact us at https://mcodegpt.org/"
 )
 
-# iface = gr.Interface(fn=greet, inputs=input_boxes, outputs="text")
+
 iface = gr.Interface(fn=greet, 
                      inputs=input_boxes, 
                      outputs=[
@@ -161,7 +98,7 @@ iface = gr.Interface(fn=greet,
                             gr.outputs.File(label="Download Output as CSV")
                         ],
                      
-                     examples=[                                    # Sample text examples
+                     examples=[                                   
         ["87uigiyyu&979890909nY9j87y8n78 (replace with your own OpenAI key)", "Patient John Smith (HSI-5421) underwent a tissue biopsy at the bladder collection site. The histopathology report confirmed the presence of cancer in the bladder. The tumor, identified as T-BC5421, measures 4 cm in its longest dimension. The cancer has been staged as T2, indicating its progression beyond the bladder wall. The cancer was asserted on January 10, 2022. The tumor marker test revealed elevated levels of urinary bladder tumor antigen (UBTA). John Smith, a Caucasian male born on April 15, 1975, is non-Hispanic and resides in zip code 90210. He is still alive, with no reported death date at this time. For any further information, please contact John Smith at [email protected] or (555) 123-4567." ],
         ["87uigiyyu&979890909nY9j87y8n78 (replace with your own OpenAI key)", "Patient CS1256, Emma Thompson, is a 42-year-old non-Hispanic white female with a biopsy specimen collected from the cervix. The pathology report indicates the presence of a tumor with an identified tumor identifier, T123456, located in the cervix. The tumor has a longest dimension of 2.3 cm. Based on the staging, the cancer is classified as Stage IA. The cancer was asserted on March 10, 2020. The tumor marker test result for CA-125 is 32 U/mL. Further evaluation and treatment options will be discussed with the patient. For any inquiries or updates, please contact Emma Thompson at [email protected] or (555) 123-4567."],
     ["87uigiyyu&979890909nY9j87y8n78  (replace with your own OpenAI key)", "This cancer report is for patient Emily Johnson (HS123456), a 43-year-old white female residing in zip code 12345. The patient underwent a tissue biopsy at Memorial Hospital to collect the human specimen. The tumor identified as T12345 is located in the femur, with a size of 10 cm in its longest dimension. The cancer stage is classified as Stage III, and the cancer was asserted on June 5, 2021. The body site affected by the cancer is the bones and joints. The disease status evidence is based on an MRI scan. Additionally, the tumor marker test revealed elevated levels of alkaline phosphatase. As of now, the patient is still alive, and no death date has been recorded. For further communication, Emily Johnson can be reached at 555-1234 or [email protected]."],