Update app.py

app.py

@@ -1,10 +1,31 @@
 import gradio as gr
 from huggingface_hub import InferenceClient
+import chatglm_cpp
+
+def list_files_tree(directory, indent=""):
+    items = os.listdir(directory)
+    for i, item in enumerate(items):
+        prefix = "└── " if i == len(items) - 1 else "├── "
+        print(indent + prefix + item)
+        item_path = os.path.join(directory, item)
+        if os.path.isdir(item_path):
+            next_indent = indent + ("    " if i == len(items) - 1 else "│   ")
+            list_files_tree(item_path, next_indent)
 
 """
 For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
 """
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+# client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
+
+repo_id = "None1145/ChatGLM3-6B-Theresa-GGML"
+filename = "ChatGLM3-6B-Theresa-GGML-Q4_0.bin"
+
+huggingface_hub.hf_hub_download(repo_id=repo_id, filename=filename, local_dir="./Models")
+list_files_tree("./Models")
+import time
+time.sleep(10)
+
+pipeline = chatglm_cpp.Pipeline(model, max_length=max_length)
 
 
 def respond(