Update app.py

app.py

@@ -8,12 +8,10 @@ import re
 import io
 import gradio as gr
 
-# إعداد العشوائية
 torch.manual_seed(int(time.time()))
 if torch.cuda.is_available():
     torch.cuda.manual_seed_all(int(time.time()))
 
-# تحميل نموذج ChemGPT
 model_name = "ncfrey/ChemGPT-1.2B"
 tokenizer = AutoTokenizer.from_pretrained(model_name)
 model = AutoModelForCausalLM.from_pretrained(model_name)
@@ -57,8 +55,8 @@ def generate_multiple_valid_smiles(prompt, n=10, max_length=100):
 
 def generate_drugs_from_pdb(pdb_file):
     try:
-        pdb_bytes = pdb_file.read()
-        pdb_str = pdb_bytes.decode('utf-8', errors='ignore')
+        with open(pdb_file.name, 'r') as f:
+            pdb_str = f.read()
         pdb_io = io.StringIO(pdb_str)
         load_pdb(pdb_io)
 
@@ -74,7 +72,6 @@ def generate_drugs_from_pdb(pdb_file):
     except Exception as e:
         return f"❌ خطأ: {str(e)}", ""
 
-# واجهة Gradio
 with gr.Blocks() as demo:
     gr.Markdown("# 🧬 توليد مركبات دوائية من ملف PDB باستخدام ChemGPT")
     with gr.Row():