Add application files

app.py

@@ -21,7 +21,7 @@ def greet(name1, name2):
     
     with open('abstractsave.txt', 'w') as f:
         f.write(str4_input)
-    '''
+    
     def run_command(command):
         result = subprocess.run(command, shell=True, stdout=subprocess.PIPE, stderr=subprocess.PIPE, text=True)
 
@@ -49,17 +49,25 @@ def greet(name1, name2):
     # Extract the text between the start and end positions
     output = output[start_position + len(start_marker):end_position].strip()
 
-    # Output the extracted text
-    output
-    '''
+
+    # Splitting the data string into lines and then split each line into key-value pairs
+    key_value_pairs = [line.split(": ", 1) for line in output.split("\n")[1:] if line.strip()]
+
+    key_value_pairs = [[format_identifier(x[0]), *x[1:]] for x in key_value_pairs]
+    
+    # Convert the key-value pairs into a table format (a list of lists)
+    df_pred = pd.DataFrame(key_value_pairs, columns = ["Attribute", "Value"])
+    
+    
+    
     
-    data = {
-        "Name": ['fawef', 'fseaf', 'asef'],
-        "Age": [30, 25, 35],
-        "City": ["New York", "San Francisco", "Los Angeles"]
-    }
-    df = pd.DataFrame(data)
-    return df.to_html()
+#     data = {
+#         "Name": ['fawef', 'fseaf', 'asef'],
+#         "Age": [30, 25, 35],
+#         "City": ["New York", "San Francisco", "Los Angeles"]
+#     }
+#     df = pd.DataFrame(data)
+    return df_pred.to_html()
 
 ####     output_string1, error_string1=run_command("poetry")# ontogpt")