add upload file feature

apps/datascience_assistant/app.py

@@ -2,34 +2,44 @@
 import sys
 
 import streamlit as st
-from modelscope_agent.agents.data_science_assistant import DataScienceAssistant
-from modelscope_agent.tools.metagpt_tools.tool_recommend import \
-    TypeMatchToolRecommender
 
-current_dir = os.path.dirname(os.path.abspath(__file__))
-project_root_path = os.path.abspath(os.path.join(current_dir, '../../'))
-sys.path.append(project_root_path)
-llm_config = {
-    'model': 'qwen2-72b-instruct',
-    'model_server': 'dashscope',
-}
-os.environ['DASHSCOPE_API_KEY'] = input(
-    'Please input your dashscope api key: ')
-data_science_assistant = DataScienceAssistant(
-    llm=llm_config, tool_recommender=TypeMatchToolRecommender(tools=['<all>']))
-st.title('Data Science Assistant')
-st.write(
-    'This is a data science assistant that can help you with your data science tasks.'
-)
-st.write(
-    'Please input your request and upload files then click the submit button.')
+os.environ['DASHSCOPE_API_KEY'] = 'YOUR_API_KEY'
 
-files = st.file_uploader(
-    'Please upload files that you need. ', accept_multiple_files=True)
-last_file_name = ''
-user_request = st.text_area('User Request')
-if st.button('submit'):
-    for file in files:
-        with open(file.name, 'wb') as f:
-            f.write(file.getbuffer())
-    data_science_assistant.run(user_request=user_request, streamlit=True)
+
+def setup_project_paths():
+    current_dir = os.path.dirname(os.path.abspath(__file__))  # noqa
+    project_root_path = os.path.abspath(os.path.join(current_dir,
+                                                     '../../'))  # noqa
+    sys.path.append(project_root_path)  # noqa
+
+
+if __name__ == '__main__':
+    setup_project_paths()
+    from modelscope_agent.agents.data_science_assistant import \
+        DataScienceAssistant  # noqa
+    from modelscope_agent.tools.metagpt_tools.tool_recommend import \
+        TypeMatchToolRecommender  # noqa
+    st.title('Data Science Assistant')
+    st.write(
+        'This is a data science assistant that can help you with your data science tasks.'
+    )
+    st.write(
+        'Please input your request and upload files then click the submit button.'
+    )
+
+    files = st.file_uploader(
+        'Please upload files that you need. ', accept_multiple_files=True)
+    last_file_name = ''
+    user_request = st.text_area('User Request')
+    if st.button('submit'):
+        llm_config = {
+            'model': 'qwen2-72b-instruct',
+            'model_server': 'dashscope',
+        }
+        data_science_assistant = DataScienceAssistant(
+            llm=llm_config,
+            tool_recommender=TypeMatchToolRecommender(tools=['<all>']))
+        for file in files:
+            with open(file.name, 'wb') as f:
+                f.write(file.getbuffer())
+        data_science_assistant.run(user_request=user_request, streamlit=True)