Subindo arquivos3

app.py

@@ -11,7 +11,7 @@ from io import BytesIO
 
 # Padrões de IA
 ai_patterns = [
-    "PIC*", "PersonalImageClassifier*", "Look*", "LookExtension*", "ChatBot", "ImageBot", "TMIC","Gemini*","Llama*","TeachableMachine*",
+    "PIC*", "PersonalImageClassifier*", "Look*", "LookExtension*", "ChatBot", "ImageBot", "TMIC", "Gemini*","Llama*","TeachableMachine*",
     "TeachableMachineImageClassifier*", "SpeechRecognizer*", "FaceExtension*","Pose*","Posenet","PosenetExtension", "Eliza*", "Alexa*"
 ]
 
@@ -23,7 +23,6 @@ social_patterns = ["ContactPicker", "EmailPicker", "PhoneCall", "PhoneNumberPick
 storage_patterns = ["File", "CloudDB", "DataFile", "Spreadsheet", "FusiontablesControl", "TinyDB", "TinyWebDB"]
 connectivity_patterns = ["BluetoothClient", "ActivityStarter", "Serial", "BluetoothServer", "Web"]
 
-
 def extract_components_using_regex(scm_content):
     pattern = r'"\$Type":"(.*?)"'
     components = re.findall(pattern, scm_content)
@@ -31,7 +30,6 @@ def extract_components_using_regex(scm_content):
         components.append("Using Roboflow")
     return components
 
-
 def extract_category_components(components, patterns):
     category_components = []
     for component in components:
@@ -40,7 +38,6 @@ def extract_category_components(components, patterns):
                 category_components.append(component)
     return category_components
 
-
 def extract_extensions_from_aia(file_path: str):
     extensions = []
     with ZipFile(file_path, 'r') as zip_ref:
@@ -120,7 +117,6 @@ def extract_project_info_from_properties(file_path):
 
     # ...
 
-
     return {
         'timestamp': timestamp,
         'app_name': app_name,
@@ -128,10 +124,6 @@ def extract_project_info_from_properties(file_path):
         'authURL': authURL
     }
 
-
-
-
-
 def extract_ai_components(components):
     ai_components = []
     for component in components:
@@ -153,35 +145,29 @@ def extract_media_files(file_path: str):
     return media_files
 
 def list_components_in_aia_file(file_path):
-    # 
     results_df = pd.DataFrame(columns=[
         'aia_file', 'project_info', 'components', 'IA components', 'screens', 'operators',
         'variables', 'events', 'extensions', 'Media',
         'Drawing and Animation', 'Maps', 'Sensors', 'Social', 'Storage', 'Connectivity'])
 
-
     pd.set_option('display.max_colwidth', None)
     file_name = os.path.basename(file_path)
-    # 
 
     components_list = []
     number_of_screens = 0
     operators_count = 0
     variables_count = 0
-    events_count = 0 # 
-    # 
+    events_count = 0
     media_files = extract_media_files(file_path)
     media_summary = ', '.join(media_files)
-    # 
     project_info = extract_project_info_from_properties(file_path)
     project_info_str = f"Timestamp: {project_info['timestamp']}, App Name: {project_info['app_name']}, Version: {project_info['app_version']}, AuthURL: {project_info['authURL']}"
 
-
     with tempfile.TemporaryDirectory() as temp_dir:
         with ZipFile(file_path, 'r') as zip_ref:
             zip_ref.extractall(temp_dir)
         scm_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.scm')
-        bky_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.bky') # Esta linha define bky_files
+        bky_files = glob.glob(temp_dir + '/src/appinventor/*/*/*.bky')
 
         number_of_screens = len(scm_files)
         for scm_file in scm_files:
@@ -192,7 +178,6 @@ def list_components_in_aia_file(file_path):
                 operators_count += len(re.findall(r'[+\-*/<>!=&|]', content))
                 variables_count += len(re.findall(r'"\$Name":"(.*?)"', content))
 
-        # 
         drawing_and_animation_summary = ', '.join(extract_category_components(components_list, drawing_and_animation_patterns))
         maps_summary = ', '.join(extract_category_components(components_list, maps_patterns))
         sensors_summary = ', '.join(extract_category_components(components_list, sensors_patterns))
@@ -200,71 +185,59 @@ def list_components_in_aia_file(file_path):
         storage_summary = ', '.join(extract_category_components(components_list, storage_patterns))
         connectivity_summary = ', '.join(extract_category_components(components_list, connectivity_patterns))
 
-
-        # 
-        # 
-        extensions_list = []
         extensions_list = extract_extensions_from_aia(file_path)
 
         for bky_file in bky_files:
             with open(bky_file, 'r', encoding='utf-8', errors='ignore') as file:
                 bky_content = file.read()
                 events_count += count_events_in_bky_file(bky_content)
-                #
-
 
-        # 
         extensions_summary = ', '.join(list(set(extensions_list)))
 
     components_count = collections.Counter(components_list)
     components_summary = [f'{comp} ({count} x)' if count > 1 else comp for comp, count in components_count.items()]
     ai_components_summary = extract_ai_components(components_list)
     new_row = pd.DataFrame([{
-    'aia_file': file_name,
-    'project_info': project_info_str,
-    'components': ', '.join(components_summary),
-    'IA components': ', '.join(ai_components_summary),
-    'screens': number_of_screens,
-    'operators': operators_count,
-    'variables': variables_count,
-    'events': events_count,
-    'extensions': extensions_summary,
-    'Media': media_summary,
-    'Drawing and Animation': drawing_and_animation_summary,
-    'Maps': maps_summary,
-    'Sensors': sensors_summary,
-    'Social': social_summary,
-    'Storage': storage_summary,
-    'Connectivity': connectivity_summary
+        'aia_file': file_name,
+        'project_info': project_info_str,
+        'components': ', '.join(components_summary),
+        'IA components': ', '.join(ai_components_summary),
+        'screens': number_of_screens,
+        'operators': operators_count,
+        'variables': variables_count,
+        'events': events_count,
+        'extensions': extensions_summary,
+        'Media': media_summary,
+        'Drawing and Animation': drawing_and_animation_summary,
+        'Maps': maps_summary,
+        'Sensors': sensors_summary,
+        'Social': social_summary,
+        'Storage': storage_summary,
+        'Connectivity': connectivity_summary
     }])
 
-    # 
     results_df = pd.concat([results_df, new_row], ignore_index=True)
     return results_df
-#
 
-# 
-# 
 output_style = """
 <style>
     .output-container {
-        max-height: 500px; /* a */
-        overflow: auto; /* a */
-        display: block; /* a */
+        max-height: 500px;
+        overflow: auto;
+        display: block;
     }
     .output-container table {
-        width: 100%; /* a */
+        width: 100%;
         border-collapse: collapse;
     }
     .output-container th, .output-container td {
-        border: 1px solid #ddd; /* a */
+        border: 1px solid #ddd;
         text-align: left;
         padding: 8px;
     }
 </style>
 """
 
-# 
 def analyze_aia(uploaded_files):
     all_results = []
     for uploaded_file in uploaded_files:
@@ -283,15 +256,15 @@ def analyze_aia(uploaded_files):
         except Exception as e:
             all_results.append(f"Erro ao processar o arquivo {file_path}: {str(e)}")
 
-# 
     combined_results_df = pd.concat(all_results, ignore_index=True)
     html_result = combined_results_df.to_html(escape=False, classes="output-html")
     return output_style + f'<div class="output-container">{html_result}</div>'
 
 iface = gr.Interface(
     fn=analyze_aia,
-    inputs=gr.Files(label="Upload .aia Files"),  # 
+    inputs=gr.Files(label="Upload .aia Files"),
     outputs=gr.HTML(),
+    examples=["example1.aia"],  #
     title="AIA-Scope",
     description="Upload .aia (or multiples .aia) files to analyze/dissect their components. An .aia file from MIT App Inventor is a project file format that contains all the necessary information for an App Inventor project.",
     live=False
@@ -299,6 +272,3 @@ iface = gr.Interface(
 
 if __name__ == "__main__":
     iface.launch(debug=True)
-
-
-

requirements.txt

@@ -1,4 +1,4 @@
-gradio==4.29.0  # versão mais recente conforme sua mensagem de erro
+gradio==4.29.0  # 
 librosa
 numpy
 matplotlib