Create app.py

app.py

@@ -1,13 +1,41 @@
-from transformers import AutoTokenizer, AutoModelForCausalLM
-import torch
-
-tokenizer = AutoTokenizer.from_pretrained("deepseek-ai/deepseek-coder-33b-instruct", trust_remote_code=True)
-model = AutoModelForCausalLM.from_pretrained("deepseek-ai/deepseek-coder-33b-instruct", trust_remote_code=True, torch_dtype=torch.bfloat16).cuda()
-
-messages=[
-    { 'role': 'user', 'content': "who are you?"}
-]
-inputs = tokenizer.apply_chat_template(messages, add_generation_prompt=True, return_tensors="pt").to(model.device)
-# tokenizer.eos_token_id is the id of <|EOT|> token
-outputs = model.generate(inputs, max_new_tokens=512, do_sample=False, top_k=50, top_p=0.95, num_return_sequences=1, eos_token_id=tokenizer.eos_token_id)
-print(tokenizer.decode(outputs[0][len(inputs[0]):], skip_special_tokens=True))
+from huggingface_hub import HfApi, HfFolder
+from pathlib import Path
+
+# --- Configuration ---
+# Your Hugging Face username
+hf_username = "your-hf-username"
+# The name of the new repository
+repo_name = "deepseek-chatbot"
+# The local path to your app.py file
+local_app_py_path = "app.py"
+# The path where the file should be in the repository
+repo_app_py_path = "app.py"
+# Your Hugging Face API token (replace with your actual token)
+hf_token = "your-hf-token"
+
+# --- Script ---
+api = HfApi()
+repo_id = f"{hf_username}/{repo_name}"
+
+# Create the repository if it doesn't exist
+try:
+    api.create_repo(repo_id=repo_id, token=hf_token, repo_type="space", space_sdk="docker")
+    print(f"Repository '{repo_id}' created on Hugging Face Hub.")
+except Exception as e:
+    print(f"Repository '{repo_id}' may already exist: {e}")
+
+# Read the content of the app.py file
+app_py_content = Path(local_app_py_path).read_text()
+
+# Commit the app.py file to the repository
+try:
+    api.upload_file(
+        path_or_fileobj=app_py_content.encode("utf-8"),
+        path_in_repo=repo_app_py_path,
+        repo_id=repo_id,
+        token=hf_token,
+        commit_message="Add app.py for DeepSeek chatbot",
+    )
+    print(f"File '{repo_app_py_path}' committed to repository '{repo_id}'.")
+except Exception as e:
+    print(f"Error committing file: {e}")