Update app.py

app.py

@@ -39,8 +39,7 @@ footer {
 
 
 LICENSE = '当前采用 ' + MODEL_NAME + ' 模型，请主动移除个人信息，注意隐私保护🔔'
-json_path = ""
-temp = ""
+
 
 local_data = threading.local()
 def init_data():
@@ -50,7 +49,6 @@ def init_data():
 
 def process_text(text_input, unit):
     init_data()
-    global temp
     client = Client(client_chat)
     # print(client.view_api())
     job = client.submit(
@@ -60,13 +58,21 @@ def process_text(text_input, unit):
         api_name="/model_chat"
     )
     response = job.result()
-    temp = response[1][0][1]
-    local_data.results = temp
+    local_data.results = response[1][0][1]
     
+def update(json_path: str):
+    init_data()
+    job = client.submit(
+        json_path,
+        fn_index=1       
+    )
+    response = job.result()
+    with open(response, 'r') as f:
+        data = json.load(f)
+    local_data.results = data[-1][1]  
 
-    
 
-def process_image(image_input, unit):
+def process_image(image_input, unit, temp):
     init_data()
     if image_input is not None:
         image = str(image_input)
@@ -91,48 +97,30 @@ def process_image(image_input, unit):
         )
         
         print(res0)
-        json_path = res0
-        
-        def update():
-            global temp
-            job = client.submit(
-                    json_path,
-                    fn_index=1         
-            )
-            response = job.result()
-            with open(response, 'r') as f:
-                data = json.load(f)
-            temp = data[-1][1]
-
-        t = threading.Thread(target=update)
+        t = threading.Thread(target=update, args=(res0))
         t.start()
         local_data.results = "正在分析....." 
 
-
 def fetch_result():
     init_data()
-    global temp
-    print(f'temp:{temp}')
-    print(f'local_data.results: {local_data.results}')
-    if local_data.results != temp :
-        local_data.results = temp
     return local_data.results
     
 def reset_result():
     init_data()
     print(local_data.results)
-    temp = ""
-    json_path = ""
     local_data.results = ""
 
 def main(text_input="", image_input=None, unit=""):
     init_data()
     reset_result()
+    temp = ""
     if text_input and image_input is None:
         process_text(text_input, unit)
     elif image_input is not None:
-        process_image(image_input, unit)
+        process_image(image_input, unit, temp)
     return local_data.results
+
+    
 with gr.Blocks(css=css, title="家庭医生AI助手", theme="soft") as iface:
     with gr.Accordion(""):
         gr.Markdown(DESCRIPTION)