Update app.py

app.py

@@ -34,7 +34,11 @@ def askme(symptoms, question):
    #  Extract only the assistant's response
     assistant_response =response_text.split("assistant")[1].strip().split("user")[0].strip()   
     return assistant_response
-    
+
+
+'''
+
+
 # Example usage
 symptoms = '''\
 I'm a 35-year-old male and for the past few months, I've been experiencing fatigue,
@@ -59,3 +63,64 @@ iface = gr.Interface(
 )
 
 iface.launch()
+
+'''
+
+
+# Read CSS from file
+css = """
+#content_align {
+    text-align: center;
+    padding: 20px;
+    background-color: #282c34;
+    color: #fff;
+    font-family: Arial, sans-serif;
+}
+"""
+
+# The welcome message with improved styling
+welcome_message = '''
+<div id="content_align">
+  <h1>AI Medical Chatbot</h1>
+  <p>Ask any medical question and get answers from our AI Medical Chatbot</p>
+  <p>Developed by Ruslan Magana. Visit <a href="https://ruslanmv.com/">https://ruslanmv.com/</a> for more information.</p>
+</div>
+'''
+
+# Creating Gradio interface with full-screen styling
+iface = gr.Interface(
+    fn=askme,
+    inputs=["text", "text"],
+    outputs="text",
+    title="Medical AI Chatbot",
+    description="Ask me a medical question!",
+    layout="vertical",
+    css=css
+)
+
+# Display the welcome message
+iface.add_text(welcome_message)
+
+# Input elements
+symptoms_input = iface.add_textbox("text", label="Symptoms", placeholder="Enter symptoms here")
+question_input = iface.add_textbox("text", label="Question", placeholder="Enter question here")
+
+# Output element
+answer_output = iface.add_textbox("text", label="Answer")
+
+# Example usage
+symptoms = '''\
+I'm a 35-year-old male and for the past few months, I've been experiencing fatigue,
+increased sensitivity to cold, and dry, itchy skin.
+'''
+question = '''\
+Could these symptoms be related to hypothyroidism?
+If so, what steps should I take to get a proper diagnosis and discuss treatment options?
+'''
+
+examples = [
+    [symptoms, question]
+]
+
+# Assuming you have a function `askme` that processes the symptoms and question and returns a response
+iface.launch(examples=examples)