Update app.py

app.py

@@ -1,17 +1,14 @@
 import gradio as gr
-from transformers import AutoTokenizer, AutoModel
+from transformers import AutoTokenizer, AutoModelForCausalLM
 
 tokenizer_code2desc = AutoTokenizer.from_pretrained("microsoft/codebert-base")
-model_code2desc = AutoModel.from_pretrained("microsoft/codebert-base")
+model_code2desc = AutoModelForCausalLM.from_pretrained("microsoft/codebert-base")
 
 def code_to_description(code: str) -> str:
-    inputs = tokenizer_code2desc.encode("summarize: " + code, return_tensors="pt", max_length=512)
-    # Updated generate function
+    inputs = tokenizer_code2desc.encode("summarize: " + code, return_tensors="pt", max_length=512, truncation=True)
     outputs = model_code2desc.generate(inputs, max_length=150, num_return_sequences=1, no_repeat_ngram_size=2, do_sample=True, top_k=50, top_p=0.95, temperature=0.8)
-    # Updated decode function
     description = tokenizer_code2desc.decode(outputs[0], skip_special_tokens=True, clean_up_tokenization_spaces=True)
     return description
 
-iface = gr.Interface(fn=code_to_description, inputs="text", outputs="text")
+iface = gr.Interface(fn=code_to_description, inputs="text", outputs="text", share=True)
 iface.launch()
-