Update app.py

app.py

@@ -40,12 +40,13 @@ 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🔔'
 
-
-result = ""
-json_path = ""
+local_data = threading.local()
+def init_data():
+    local_data.results = ""
+    local_data.json_path = ""
 
 def process_text(text_input, unit):
-    global result
+    init_data()
     client = Client(client_chat)
     print(client.view_api())
     job = client.submit(
@@ -56,11 +57,11 @@ def process_text(text_input, unit):
     )
     response = job.result()
     print(response)
-    result = response[1][0][1]
+    local_data.results = response[1][0][1]
     
 
 def process_image(image_input, unit):
-    global result, json_path
+    init_data()
     if image_input is not None:
         image = str(image_input)
         print(image)
@@ -84,37 +85,39 @@ def process_image(image_input, unit):
         )
         
         print(res0)
-        json_path = res0
+        local_data.json_path = res0
         
         def update():
-            global result
+            init_data()
             job = client.submit(
-                    json_path,
+                    local_data.json_path,
                     fn_index=1         
             )
             response = job.result()
             with open(response, 'r') as f:
                 data = json.load(f)
             print(data)
-            result = data[-1][1]
-        result = "正在分析....."    
+            local_data.results = data[-1][1]
+        local_data.results = "正在分析....."    
         threading.Thread(target=update).start()
         
 
 def fetch_result():
-    return result
+    init_data()
+    return local_data.result
     
 def reset_result():
-    result = 0
+    init_data()
+    local_data.result = 0
 
 def main(text_input="", image_input=None, unit=""):
-    global result
+    init_data()
     reset_result()
     if text_input and image_input is None:
         process_text(text_input, unit)
     elif image_input is not None:
         process_image(image_input, unit)
-    return result
+    return local_data.result
 
 with gr.Blocks(css=css, title="家庭医生AI助手", theme="soft") as iface:
     with gr.Accordion(""):
@@ -126,7 +129,7 @@ with gr.Blocks(css=css, title="家庭医生AI助手", theme="soft") as iface:
                                             "骨科", "肿瘤科", "急诊科", "检验科"])
     
     with gr.Row():
-        output_box = gr.Markdown(value=result, every=10, label="分析")
+        output_box = gr.Markdown(value=local_data.result, every=10, label="分析")
     with gr.Row():
         image_input = gr.Image(type="filepath", label="上传图片")  # Create an image upload button
         text_input = gr.Textbox(label="输入")  # Create a text input box
@@ -139,7 +142,6 @@ with gr.Blocks(css=css, title="家庭医生AI助手", theme="soft") as iface:
     # Set up the event listeners
     submit_btn.click(main, inputs=[text_input, image_input, unit], outputs=output_box)
     fresh_btn.click(fn=fetch_result, outputs=output_box)
-    clear_btn.click(fn=reset_result)
 
     
     gr.Markdown(LICENSE)