Update app.py

app.py

@@ -1,6 +1,6 @@
 import requests
-import os 
 import json
+import os 
 
 api_token = os.environ.get("TOKEN")
 API_URL = "https://api-inference.huggingface.co/models/meta-llama/Meta-Llama-3-8B-Instruct"
@@ -51,7 +51,7 @@ assistant
             return 'questions'
         elif ChatmodelLLM == 2:
             return 'Chat Model/LLM'
-        elif other == 2:
+        elif other == 2: 
             return "Other"
         elif image_generation == 2:
             return "Image Generation"
@@ -71,7 +71,7 @@ assistant
             return f"Erreur: Réponse ambiguë - '{response}'"
 
 # URL de base de l'API
-base_url = "https://huggingface.co/api/posts"
+base_url = "https://huggingface.co/api/posts?skip=20&sort=recent"
 
 # Paramètres pour la pagination
 skip = 0  # Nombre d'éléments à sauter
@@ -114,16 +114,7 @@ while True:
 # Maintenant, all_posts_with_text contient tous les posts récupérés avec leur texte
 
 # Initialisation des compteurs
-questions_count = 0
-Chat_ModelLLM_count = 0
-Other_count = 0
-ImageGeneration_count = 0
-Fine_tuning_count = 0
-EthicsandBias_count = 0
-Datasets_count = 0
-ToolsandLibraries_count = 0
-Tutorials_and_Guides_count = 0
-Debugging_count = 0
+questions_count, Chat_ModelLLM_count, Other_count, ImageGeneration_count, Fine_tuning_count, EthicsandBias_count, Datasets_count, ToolsandLibraries_count, Tutorials_and_Guides_count,Debugging_count = 0,0,0,0,0,0,0,0,0,0
 
 # Appliquer votre algorithme d'analyse à tous les posts
 for i, post in enumerate(all_posts_with_text, 1):
@@ -156,13 +147,17 @@ for i, post in enumerate(all_posts_with_text, 1):
         Debugging_count += 1
 
 # Affichage des résultats
-print(f"Questions: {questions_count}")
-print(f"Chat Model/LLM: {Chat_ModelLLM_count}")
-print(f"Other: {Other_count}")
-print(f"Image Generation: {ImageGeneration_count}")
-print(f"Fine-tuning: {Fine_tuning_count}")
-print(f"Ethics and Bias: {EthicsandBias_count}")
-print(f"Datasets: {Datasets_count}")
-print(f"Tools and Libraries: {ToolsandLibraries_count}")
-print(f"Tutorials and Guides: {Tutorials_and_Guides_count}")
-print(f"Debugging: {Debugging_count}")
+print(
+
+    f"Questions: {questions_count}",
+    f"Chat Model/LLM: {Chat_ModelLLM_count}",
+    f"Other: {Other_count}",
+    f"Image Generation: {ImageGeneration_count}",
+    f"Fine-tuning: {Fine_tuning_count}",
+    f"Ethics and Bias: {EthicsandBias_count}",
+    f"Datasets: {Datasets_count}",
+    f"Tools and Libraries: {ToolsandLibraries_count}",
+    f"Tutorials and Guides: {Tutorials_and_Guides_count}",
+    f"Debugging: {Debugging_count}"
+
+)