Update app.py

app.py

@@ -1,64 +1,59 @@
-import gradio as gr
-from huggingface_hub import InferenceClient
+import argparse
+check="Hera"
 
+import gradio as gr
+from MedAI_Maincode import ChatBot,BrainTumor,Detectskindisease,Pneumonia, Polyb
+js = """
+function createGradioAnimation() {
+    var container = document.createElement('div');
+    container.id = 'gradio-animation';
+    container.style.fontSize = '2em';
+    container.style.fontWeight = 'bold';
+    container.style.textAlign = 'center';
+    container.style.marginBottom = '20px';
+
+    var text = 'Welcome to Hera!';
+    for (var i = 0; i < text.length; i++) {
+        (function(i){
+            setTimeout(function(){
+                var letter = document.createElement('span');
+                letter.style.opacity = '0';
+                letter.style.transition = 'opacity 0.5s';
+                letter.innerText = text[i];
+
+                container.appendChild(letter);
+
+                setTimeout(function() {
+                    letter.style.opacity = '1';
+                }, 50);
+            }, i * 250);
+        })(i);
+    }
+
+    var gradioContainer = document.querySelector('.gradio-container');
+    gradioContainer.insertBefore(container, gradioContainer.firstChild);
+
+    return 'Animation created';
+}
 """
-For more information on `huggingface_hub` Inference API support, please check the docs: https://huggingface.co/docs/huggingface_hub/v0.22.2/en/guides/inference
+css = """
+.textboxskin {
+    font-size: 50px; !important;
+}
 """
-client = InferenceClient("HuggingFaceH4/zephyr-7b-beta")
-
-
-def respond(
-    message,
-    history: list[tuple[str, str]],
-    system_message,
-    max_tokens,
-    temperature,
-    top_p,
-):
-    messages = [{"role": "system", "content": system_message}]
-
-    for val in history:
-        if val[0]:
-            messages.append({"role": "user", "content": val[0]})
-        if val[1]:
-            messages.append({"role": "assistant", "content": val[1]})
-
-    messages.append({"role": "user", "content": message})
-
-    response = ""
-
-    for message in client.chat_completion(
-        messages,
-        max_tokens=max_tokens,
-        stream=True,
-        temperature=temperature,
-        top_p=top_p,
-    ):
-        token = message.choices[0].delta.content
-
-        response += token
-        yield response
+if __name__ == "__main__":
+  parser = argparse.ArgumentParser(description="Example of argparse usage")
 
+  parser.add_argument('-c', '--chatkey', type=str, help='chatbox API key')
+  parser.add_argument('-s', '--skinkey', type=str, help='skin API key')
 
-"""
-For information on how to customize the ChatInterface, peruse the gradio docs: https://www.gradio.app/docs/chatinterface
-"""
-demo = gr.ChatInterface(
-    respond,
-    additional_inputs=[
-        gr.Textbox(value="You are a friendly Chatbot.", label="System message"),
-        gr.Slider(minimum=1, maximum=2048, value=512, step=1, label="Max new tokens"),
-        gr.Slider(minimum=0.1, maximum=4.0, value=0.7, step=0.1, label="Temperature"),
-        gr.Slider(
-            minimum=0.1,
-            maximum=1.0,
-            value=0.95,
-            step=0.05,
-            label="Top-p (nucleus sampling)",
-        ),
-    ],
-)
+  args = parser.parse_args()
 
+  chatkey = args.chatkey
+  skinkey = args.skinkey   
 
-if __name__ == "__main__":
-    demo.launch()
+  Main = gr.TabbedInterface([BrainTumor.create_brain_tumor_detect(), Pneumonia.create_pneumonia_tab(), Detectskindisease.create_skin_tab(skinkey), Polyb.create_polyb(), ChatBot.create_Chatbot_tab(chatkey)],
+                            tab_names = ["Chẩn Đoán Khối U Não", "Chẩn Đoán Tình Trạng Phổi", "Chẩn Đoán Bệnh Ngoài Da","Phát hiện khối u đại tràng", "Tư Vấn Sức Khỏe Thông Minh"],
+                            theme = "HaleyCH/HaleyCH_Theme",
+                            js = js,css=css)
+  Main.launch( share=True, debug = True)