Update app.py

app.py

@@ -24,10 +24,10 @@ SYS_PROMPT = read('system_prompt.txt')
 
 DESCRIPTION = '''
 <div>
-<h1 style="text-align: center;">家庭医生demo</h1>
-<p>🩺一个帮助您分析症状和检验报告的家庭医生(AI诊疗助手)。</p>
-<p>🔎 选择您需要咨询的科室医生，在输入框中输入症状描述或者体检信息等；您也可以在图片框中上传检测报告图。</p>
-<p>🦕 请注意生成信息可能不准确，且不具备任何实际参考价值，如有需要请联系专业医生。</p>
+<h1 style="text-align: center;">知觉demo</h1>
+<p>🩺一个基于提示词和前沿多模态模型的AI，帮助您解读专业领域内容。</p>
+<p>🔎 您可以选择领域，参考示例上传图像，或发送需要解读的文字内容。</p>
+<p>🦕 生成解读内容仅供参考。</p>
 </div>
 '''
 
@@ -59,15 +59,15 @@ def process_text(text_input, unit):
         completion = client.chat.completions.create(
             model=MODEL,
             messages=[
-                {"role": "system", "content": f" You are a experienced {unit} doctor AI assistant." + SYS_PROMPT},
-                {"role": "user", "content": f"Hello! Could you solve {text_input}?"}
+                {"role": "system", "content": f" You are a experienced Analyst in {unit}." + SYS_PROMPT},
+                {"role": "user", "content": f"Hello! Could you analysis {text_input}?"}
             ]
         )
         return completion.choices[0].message.content
     elif text_input and endpoint == 'GOOGLE':
         genai.configure(api_key=api_key)
         model = genai.GenerativeModel(model_name=MODEL)
-        prompt = f" You are a experienced {unit} doctor AI assistant." + SYS_PROMPT + f"Could you solve {text_input}?"
+        prompt = f" You are a experienced Analyst in {unit}." + SYS_PROMPT + f"Could you analysis {text_input}?"
         response = model.generate_content(prompt)
         return response.text        
     return ""
@@ -88,7 +88,7 @@ def process_image(image_input, unit):
         response = client.chat.completions.create(
             model=MODEL,
             messages=[
-                {"role": "system", "content": f" You are a experienced {unit} doctor AI assistant." + SYS_PROMPT},
+                {"role": "system", "content": f" You are a experienced Analyst in {unit}." + SYS_PROMPT},
                 {"role": "user", "content": [
                     {"type": "text", "text": "Help me understand what is in this picture and analysis."},
                     {"type": "image_url", 
@@ -105,7 +105,7 @@ def process_image(image_input, unit):
     elif image_input is not None and endpoint == 'GOOGLE':
         genai.configure(api_key=api_key)
         model = genai.GenerativeModel(model_name=MODEL)
-        prompt = f" You are a experienced {unit} doctor AI assistant." + SYS_PROMPT + "Help me understand what is in this picture and analysis."
+        prompt = f" You are a experienced Analyst in {unit}." + SYS_PROMPT + "Help me understand what is in this picture and analysis it."
         response = model.generate_content([prompt, image_input],request_options={"timeout": 60})
         return response.text        
 
@@ -116,14 +116,12 @@ 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='shivi/calm_seafoam', css=css, title="知觉demo") as iface:
     with gr.Accordion(""):
         gr.Markdown(DESCRIPTION)
-        unit = gr.Dropdown(label="🩺科室", value='中医科', elem_id="units",
-                            choices=["中医科", "内科", "外科", "妇产科",  "儿科", \
-                                     "五官科", "男科", "皮肤性病科", "传染科", "精神心理科", \
-                                        "整形美容科", "营养科", "生殖中心", "麻醉医学科", "医学影像科", \
-                                            "骨科", "肿瘤科", "急诊科", "检验科"])
+        unit = gr.Dropdown(label="领域", value='财经', elem_id="units",
+                            choices=["财经", "市场", "产业", "国际关系", "医疗", \
+                                     "SEO", "评估", "科技", "策划", "营销"])
     with gr.Row():
         output_box = gr.Markdown(label="分析")  # Create an output textbox
     with gr.Row():