fix

app.py

@@ -1,6 +1,6 @@
 from peft import AutoPeftModelForCausalLM
 from transformers import AutoTokenizer, TextStreamer
-# import gradio as gr
+import gradio as gr
 """
 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
 """
@@ -12,19 +12,19 @@ model = AutoPeftModelForCausalLM.from_pretrained(
     )
 tokenizer = AutoTokenizer.from_pretrained("EITD/lora_model_1")
 
-messages = [{"role": "user", "content": "Continue the Fibonacci sequence: 1, 1, 2, 3, 5, 8,"},]
+# messages = [{"role": "user", "content": "Continue the Fibonacci sequence: 1, 1, 2, 3, 5, 8,"},]
 
-inputs = tokenizer.apply_chat_template(
-    messages,
-    tokenize = True,
-    add_generation_prompt = True, # Must add for generation
-    return_tensors = "pt",
-)
+# inputs = tokenizer.apply_chat_template(
+#     messages,
+#     tokenize = True,
+#     add_generation_prompt = True, # Must add for generation
+#     return_tensors = "pt",
+# )
 
-outputs = model.generate(input_ids = inputs, max_new_tokens = 64, use_cache = True,
-                        temperature = 1.5, min_p = 0.1)
+# outputs = model.generate(input_ids = inputs, max_new_tokens = 64, use_cache = True,
+#                         temperature = 1.5, min_p = 0.1)
 
-print(tokenizer.batch_decode(outputs))
+# print(tokenizer.batch_decode(outputs))
 
 def respond(
     message,
@@ -78,22 +78,22 @@ def respond(
 """
 For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
 """
-# demo = gr.ChatInterface(
-#     respond,
-#     additional_inputs=[
-#         gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-#         gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-#         gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-#         gr.Slider(
-#             minimum=0.1,
-#             maximum=1.0,
-#             value=0.95,
-#             step=0.05,
-#             label="Top-p (nucleus sampling)",
-#         ),
-#     ],
-# )
+demo = gr.ChatInterface(
+    respond,
+    additional_inputs=[
+        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
+        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
+        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
+        gr.Slider(
+            minimum=0.1,
+            maximum=1.0,
+            value=0.95,
+            step=0.05,
+            label="Top-p (nucleus sampling)",
+        ),
+    ],
+)
 
 
-# if __name__ == "__main__":
-#     demo.launch()
+if __name__ == "__main__":
+    demo.launch()