Upload google_embeddinggemma-300m_2.py with huggingface_hub

google_embeddinggemma-300m_2.py

@@ -34,17 +34,42 @@ try:
     with open('google_embeddinggemma-300m_2.txt', 'w', encoding='utf-8') as f:
         f.write('Everything was good in google_embeddinggemma-300m_2.txt')
 except Exception as e:
-    with open('google_embeddinggemma-300m_2.txt', 'w', encoding='utf-8') as f:
+    import os
+    from slack_sdk import WebClient
+    client = WebClient(token=os.environ['SLACK_TOKEN'])
+    client.chat_postMessage(
+        channel='#exp-slack-alerts',
+        text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/google_embeddinggemma-300m_2.txt|google_embeddinggemma-300m_2.txt>',
+    )
+
+    with open('google_embeddinggemma-300m_2.txt', 'a', encoding='utf-8') as f:
         import traceback
-        traceback.print_exc(file=f)
+        f.write('```CODE: 
+# The sentences to encode
+sentence_high = [
+    "The chef prepared a delicious meal for the guests.",
+    "A tasty dinner was cooked by the chef for the visitors."
+]
+sentence_medium = [
+    "She is an expert in machine learning.",
+    "He has a deep interest in artificial intelligence."
+]
+sentence_low = [
+    "The weather in Tokyo is sunny today.",
+    "I need to buy groceries for the week."
+]
 
-        import os
-        from slack_sdk import WebClient
-        client = WebClient(token=os.environ['SLACK_TOKEN'])
-        client.chat_postMessage(
-            channel='#exp-slack-alerts',
-            text='Problem in <https://huggingface.co/datasets/model-metadata/code_execution_files/blob/main/google_embeddinggemma-300m_2.txt|google_embeddinggemma-300m_2.txt>',
-        )
+for sentence in [sentence_high, sentence_medium, sentence_low]:
+    print("🙋‍♂️")
+    print(sentence)
+    embeddings = model.encode(sentence)
+    similarities = model.similarity(embeddings[0], embeddings[1])
+    print("`-> 🤖 score: ", similarities.numpy()[0][0])
+```
+ERROR: 
+')
+        traceback.print_exc(file=f)
+    
 finally:
     from huggingface_hub import upload_file
     upload_file(