Some cleaning in huggingface_hub integration (#13)

- Some cleaning in huggingface_hub integration (85fe931f3911f59e26cc6c4ca2f28c5d1affa26a)


Co-authored-by: Lucain Pouget <Wauplin@users.noreply.huggingface.co>

app.py

@@ -24,25 +24,23 @@ def script_to_use(model_id, api):
     return "convert.py" if arch in LLAMA_LIKE_ARCHS else "convert-hf-to-gguf.py"
 
 def process_model(model_id, q_method, hf_token):
-    MODEL_NAME = model_id.split('/')[-1]
-    fp16 = f"{MODEL_NAME}/{MODEL_NAME.lower()}.fp16.bin"
+    model_name = model_id.split('/')[-1]
+    fp16 = f"{model_name}/{model_name.lower()}.fp16.bin"
     
     try:
         api = HfApi(token=hf_token)
 
-        username = whoami(hf_token)["name"]
-
-        snapshot_download(repo_id=model_id, local_dir = f"{MODEL_NAME}", local_dir_use_symlinks=False)
+        snapshot_download(repo_id=model_id, local_dir=model_name, local_dir_use_symlinks=False)
         print("Model downloaded successully!")
         
         conversion_script = script_to_use(model_id, api)
-        fp16_conversion = f"python llama.cpp/{conversion_script} {MODEL_NAME} --outtype f16 --outfile {fp16}"
+        fp16_conversion = f"python llama.cpp/{conversion_script} {model_name} --outtype f16 --outfile {fp16}"
         result = subprocess.run(fp16_conversion, shell=True, capture_output=True)
         if result.returncode != 0:
             raise Exception(f"Error converting to fp16: {result.stderr}")
         print("Model converted to fp16 successully!")
 
-        qtype = f"{MODEL_NAME}/{MODEL_NAME.lower()}.{q_method.upper()}.gguf"
+        qtype = f"{model_name}/{model_name.lower()}.{q_method.upper()}.gguf"
         quantise_ggml = f"./llama.cpp/quantize {fp16} {qtype} {q_method}"
         result = subprocess.run(quantise_ggml, shell=True, capture_output=True)
         if result.returncode != 0:
@@ -50,20 +48,15 @@ def process_model(model_id, q_method, hf_token):
         print("Quantised successfully!")
 
         # Create empty repo
-        repo_id = f"{username}/{MODEL_NAME}-{q_method}-GGUF"
-        repo_url = create_repo(
-            repo_id = repo_id,
-            repo_type="model",
-            exist_ok=True,
-            token=hf_token
-        )
-        print("Repo created successfully!")
+        new_repo_url = api.create_repo(repo_id=f"{model_name}-{q_method}-GGUF", exist_ok=True)
+        new_repo_id = new_repo_url.repo_id
+        print("Repo created successfully!", new_repo_url)
 
         card = ModelCard.load(model_id)
         card.data.tags = ["llama-cpp"] if card.data.tags is None else card.data.tags + ["llama-cpp"]
         card.text = dedent(
             f"""
-            # {repo_id}
+            # {new_repo_id}
             This model was converted to GGUF format from [`{model_id}`](https://huggingface.co/{model_id}) using llama.cpp.
             Refer to the [original model card](https://huggingface.co/{model_id}) for more details on the model.
             ## Use with llama.cpp
@@ -73,39 +66,37 @@ def process_model(model_id, q_method, hf_token):
             ```
 
             ```bash
-            llama-cli --hf-repo {repo_id} --model {qtype.split("/")[-1]} -p "The meaning to life and the universe is "
+            llama-cli --hf-repo {new_repo_id} --model {qtype.split("/")[-1]} -p "The meaning to life and the universe is "
             ```
 
             ```bash
-            llama-server --hf-repo {repo_id} --model {qtype.split("/")[-1]} -c 2048
+            llama-server --hf-repo {new_repo_id} --model {qtype.split("/")[-1]} -c 2048
             ```
             """
         )
-        card.save(os.path.join(MODEL_NAME, "README-new.md"))
+        card.save(os.path.join(model_name, "README-new.md"))
 
         api.upload_file(
             path_or_fileobj=qtype,
             path_in_repo=qtype.split("/")[-1],
-            repo_id=repo_id,
-            repo_type="model",
+            repo_id=new_repo_id,
         )
 
         api.upload_file(
-            path_or_fileobj=f"{MODEL_NAME}/README-new.md",
+            path_or_fileobj=f"{model_name}/README-new.md",
             path_in_repo="README.md",
-            repo_id=repo_id,
-            repo_type="model",
+            repo_id=new_repo_id,
         )
         print("Uploaded successfully!")
 
         return (
-            f'Find your repo <a href=\'{repo_url}\' target="_blank" style="text-decoration:underline">here</a>',
+            f'Find your repo <a href=\'{new_repo_url}\' target="_blank" style="text-decoration:underline">here</a>',
             "llama.png",
         )
     except Exception as e:
         return (f"Error: {e}", "error.png")
     finally:
-        shutil.rmtree(MODEL_NAME, ignore_errors=True)
+        shutil.rmtree(model_name, ignore_errors=True)
         print("Folder cleaned up successfully!")