Update app.py

app.py

@@ -44,14 +44,15 @@ LICENSE = '采用 ' + MODEL_NAME + ' 模型'
 def process_text(text_input, unit):
     client = Client(client_chat)
     client.predict(
-		system=f" You are a experienced {unit} doctor AI assistant." + SYS_PROMPT,
+		system=f"You are a experienced {unit} doctor AI assistant." + SYS_PROMPT,
 		api_name="/modify_system_session"
     )
     response = client.predict(
-        query=text_input,
+        query=str(text_input),
+        history=None,
         api_name="/model_chat"
     )
-    return response[1]
+    print(response)
  
 
 def encode_image_to_base64(image_input):
@@ -63,17 +64,17 @@ def encode_image_to_base64(image_input):
 def process_image(image_input, unit):
     if image_input is not None:
         print(image_input)
-        with open(image_input, "rb") as f:
-            base64_image = base64.b64encode(f.read()).decode("utf-8")
+        #with open(image_input, "rb") as f:
+        #   base64_image = base64.b64encode(f.read()).decode("utf-8")
         client = Client(client_vl)
         # base64_image = encode_image_to_base64(image_input)
         prompt = f" You are a experienced {unit} doctor AI assistant." + SYS_PROMPT + "Help me understand what is in this picture and analysis."
         response = client.predict(
-            base64_image, 
+            image_input, 
             prompt,
             fn_index=0
         )
-        return response     
+        print(response)
 
 
 def main(text_input="", image_input=None, unit=""):
@@ -82,7 +83,7 @@ def main(text_input="", image_input=None, unit=""):
     elif image_input is not None:
         return process_image(image_input,unit)
 
-with gr.Blocks(theme='shivi/calm_seafoam', css=css, title="家庭医生AI助手") as iface:
+with gr.Blocks(theme='soft', css=css, title="家庭医生AI助手") as iface:
     with gr.Accordion(""):
         gr.Markdown(DESCRIPTION)
         unit = gr.Dropdown(label="🩺科室", value='中医科', elem_id="units",
@@ -93,7 +94,7 @@ with gr.Blocks(theme='shivi/calm_seafoam', css=css, title="家庭医生AI助手"
     with gr.Row():
         output_box = gr.Markdown(label="分析")  # Create an output textbox
     with gr.Row():
-        image_input = gr.Image(type="filepath", label="上传图片")  # Create an image upload button
+        image_input = gr.Image(type="str", label="上传图片")  # Create an image upload button
         text_input = gr.Textbox(label="输入")  # Create a text input box
     with gr.Row():
         submit_btn = gr.Button("🚀 确认")  # Create a submit button