Update app.py

app.py

@@ -9,8 +9,6 @@ from trimesh.exchange.gltf import export_glb
 import numpy as np
 import tempfile
 import copy
-from dashscope import MultiModalConversation
-import dashscope
 
 def _remove_image_special(text):
     text = text.replace('<ref>', '').replace('</ref>', '')
@@ -21,66 +19,6 @@ def is_video_file(filename):
     video_extensions = ['.mp4', '.avi', '.mkv', '.mov', '.wmv', '.flv', '.webm', '.mpeg']
     return any(filename.lower().endswith(ext) for ext in video_extensions)
 
-def predict_(_chatbot, task_history):
-    chat_query = _chatbot[-1][0]
-    query = task_history[-1][0]
-    if len(chat_query) == 0:
-        _chatbot.pop()
-        task_history.pop()
-        return _chatbot
-    print("User: " + _parse_text(query))
-    history_cp = copy.deepcopy(task_history)
-    full_response = ""
-    messages = []
-    content = []
-    for q, a in history_cp:
-        if isinstance(q, (tuple, list)):
-            if is_video_file(q[0]):
-                content.append({'video': f'file://{q[0]}'})
-            else:
-                content.append({'image': f'file://{q[0]}'})
-        else:
-            content.append({'text': q})
-            messages.append({'role': 'user', 'content': content})
-            messages.append({'role': 'assistant', 'content': [{'text': a}]})
-            content = []
-    messages.pop()
-    responses = MultiModalConversation.call(
-        model="Qwen/Qwen2.5-VL-3B-Instruct", messages=messages, stream=True,
-    )
-    for response in responses:
-        if not response.status_code == HTTPStatus.OK:
-            raise HTTPError(f'response.code: {response.code}\nresponse.message: {response.message}')
-        response = response.output.choices[0].message.content
-        response_text = []
-        for ele in response:
-            if 'text' in ele:
-                response_text.append(ele['text'])
-            elif 'box' in ele:
-                response_text.append(ele['box'])
-        response_text = ''.join(response_text)
-        _chatbot[-1] = (_parse_text(chat_query), _remove_image_special(response_text))
-        yield _chatbot
-
-    if len(response) > 1:
-        result_image = response[-1]['result_image']
-        resp = requests.get(result_image)
-        os.makedirs(uploaded_file_dir, exist_ok=True)
-        name = f"tmp{secrets.token_hex(20)}.jpg"
-        filename = os.path.join(uploaded_file_dir, name)
-        with open(filename, 'wb') as f:
-            f.write(resp.content)
-        response = ''.join(r['box'] if 'box' in r else r['text'] for r in response[:-1])
-        _chatbot.append((None, (filename,)))
-    else:
-        response = response[0]['text']
-        _chatbot[-1] = (_parse_text(chat_query), response)
-    full_response = _parse_text(response)
-
-    task_history[-1] = (query, full_response)
-    print("Qwen2.5-VL-Chat: " + _parse_text(full_response))
-    yield _chatbot
-
 def predict(_chatbot, task_history):
     chat_query = _chatbot[-1][0]
     query = task_history[-1][0]