Update app.py

app.py

@@ -352,25 +352,6 @@ def generate_gpt2_xl(prompt):
     return response
 
 
-def answer_question_minicpm(image_bytes, question):
-    blob_name = f"transformers/minicpm_answer:{hash(image_bytes)}:{question}"
-    answer = load_object_from_gcs(blob_name)
-    if not answer:
-        try:
-            image = Image.open(io.BytesIO(image_bytes)).convert("RGB")
-            with tqdm(total=1, desc="Answering question with MiniCPM") as pbar:
-                msgs = [{"role": "user", "content": [image, question]}]
-                answer = minicpm_model.chat(
-                    image=None, msgs=msgs, tokenizer=minicpm_tokenizer
-                )
-                pbar.update(1)
-            save_object_to_gcs(blob_name, answer)
-        except Exception as e:
-            print(f"Failed to answer question with MiniCPM: {e}")
-            return None
-    return answer
-
-
 def store_user_question(question):
     blob_name = "user_questions.txt"
     blob = bucket.blob(blob_name)