Update app.py

app.py

@@ -135,12 +135,41 @@ if submit_button:
             translated_text = f"No Argos model for {sselected_language} to {tselected_language}. Try other model or languages combination!"
         except Exception as error:
             translated_text = error
-    if model_name == "winninghealth/WiNGPT-Babel-2":
-        tokenizer = AutoTokenizer.from_pretrained("winninghealth/WiNGPT-Babel-2")
-        model = AutoModelForCausalLM.from_pretrained("winninghealth/WiNGPT-Babel-2")
-        pipe = pipeline("translation", model=model, tokenizer=tokenizer)
-        translation = pipe(input_text)
-        translated_text = translation[0]['translation_text']
+    if model_name == "winninghealth/WiNGPT-Babel-2":      
+        model = AutoModelForCausalLM.from_pretrained(
+           model_name,
+           torch_dtype="auto",
+           device_map="auto"
+        )
+        tokenizer = AutoTokenizer.from_pretrained(model_name)
+        
+        # Example: Translation of text within a JSON object to Chinese
+        prompt_json = """{"text": input_text}"""
+        
+        messages = [
+           {"role": "system", "content": f"Translate this to {tselected_language} Language"}, 
+           {"role": "user", "content": prompt_json}
+        ]
+        
+        text = tokenizer.apply_chat_template(
+           messages,
+           tokenize=False,
+           add_generation_prompt=False
+        )
+        model_inputs = tokenizer([text], return_tensors="pt").to(model.device)
+        
+        generated_ids = model.generate(
+           **model_inputs,
+           max_new_tokens=4096,
+           temperature=0
+        )
+        
+        generated_ids = [
+           output_ids[len(input_ids):] for input_ids, output_ids in zip(model_inputs.input_ids, generated_ids)
+        ]
+        
+        translated_text = tokenizer.batch_decode(generated_ids, skip_special_tokens=True)[0]
+        # translated_text = translation[0]['translation_text']
     # Display the translated text
     print(translated_text)
     st.write(f"Translated text from {sselected_language} to {tselected_language} using {model_name}:")