Upload google_gemma-3n-E4B-it_3.py with huggingface_hub

google_gemma-3n-E4B-it_3.py

@@ -0,0 +1,78 @@
+# /// script
+# requires-python = ">=3.12"
+# dependencies = [
+#     "transformers",
+#     "torch",
+# ]
+# ///
+
+try:
+    import torch
+    
+    GEMMA_PATH = "google/gemma-3n-E2B-it" #@param ["google/gemma-3n-E2B-it", "google/gemma-3n-E4B-it"]
+    RESOURCE_URL_PREFIX = "https://raw.githubusercontent.com/google-gemini/gemma-cookbook/refs/heads/main/Demos/sample-data/"
+    
+    from IPython.display import Audio, Image, Markdown, display
+    
+    class ChatState():
+      def __init__(self, model, processor):
+        self.model = model
+        self.processor = processor
+        self.history = []
+    
+      def send_message(self, message, max_tokens=256):
+        self.history.append(message)
+    
+        input_ids = self.processor.apply_chat_template(
+            self.history,
+            add_generation_prompt=True,
+            tokenize=True,
+            return_dict=True,
+            return_tensors="pt",
+        )
+        input_len = input_ids["input_ids"].shape[-1]
+    
+        input_ids = input_ids.to(self.model.device, dtype=model.dtype)
+        outputs = self.model.generate(
+            **input_ids,
+            max_new_tokens=max_tokens,
+            disable_compile=True
+        )
+        text = self.processor.batch_decode(
+            outputs[:, input_len:],
+            skip_special_tokens=True,
+            clean_up_tokenization_spaces=True
+        )
+        self.history.append({
+            "role": "assistant",
+            "content": [
+                {"type": "text", "text": text[0]},
+            ]
+        })
+    
+        # display chat
+        for item in message['content']:
+          if item['type'] == 'text':
+            formatted_prompt = "<font size='+1' color='brown'>🙋‍♂️<blockquote>\n" + item['text'] + "\n</blockquote></font>"
+            display(Markdown(formatted_prompt))
+          elif item['type'] == 'audio':
+            display(Audio(item['audio']))
+          elif item['type'] == 'image':
+            display(Image(item['image']))
+    
+        formatted_text = "<font size='+1' color='teal'>🤖<blockquote>\n" + text[0] + "\n</blockquote></font>"
+        display(Markdown(formatted_text))
+    with open('google_gemma-3n-E4B-it_3.txt', 'w') as f:
+        f.write('Everything was good in google_gemma-3n-E4B-it_3.txt')
+except Exception as e:
+    with open('google_gemma-3n-E4B-it_3.txt', 'w') as f:
+        import traceback
+        traceback.print_exc(file=f)
+finally:
+    from huggingface_hub import upload_file
+    upload_file(
+        path_or_fileobj='google_gemma-3n-E4B-it_3.txt',
+        repo_id='model-metadata/custom_code_execution_files',
+        path_in_repo='google_gemma-3n-E4B-it_3.txt',
+        repo_type='dataset',
+    )