Update app.py

app.py

@@ -1,58 +1,53 @@
 import gradio as gr
-from groq import Groq
 import os
+from groq import Groq
+
+# Set your Groq API key (make sure to export it in your environment or manually paste it below for local testing)
+GROQ_API_KEY = os.getenv("GROQ_API_KEY")
+client = Groq(api_key=GROQ_API_KEY)
 
-# Initialize Groq client with your API key
-client = Groq(api_key=os.getenv("GROQ_API_KEY"))
-
-# Prompt Template
-prompt_template = """
-You are SkinSense AI, a gentle and friendly AI-powered skincare assistant. Your task is to analyze the following user-described symptoms and skin concerns. Based on this input, kindly return the following in a friendly tone with emojis and HTML formatting:
-1. Greet the user using their name (if given).
-2. Briefly summarize their skin issue in 1 line.
-3. Give a global skin insight (a short stat or fact).
-4. Suggest a daily care routine with 3 bullet points.
-5. Recommend 1 natural home remedy.
-6. Share 3 lifestyle tips.
-7. End with a motivational quote and a short note of encouragement.
-
-User Symptoms: {input}
+def analyze_skin(symptom):
+    prompt = f"""
+You are SkinSense AI, a gentle and smart skincare assistant. The user has described their skin concern as: "{symptom}"
+
+Please:
+1. Greet the user with their name "Javeria".
+2. Give a short, easy-to-understand summary of the skin concern.
+3. Provide one global skin fact relevant to that concern.
+4. Recommend a simple 3-step daily skincare routine.
+5. Suggest one natural home remedy.
+6. Give 3 practical daily care or lifestyle tips.
+7. End with a motivational quote about skincare or self-care.
+
+Make sure the response is beginner-friendly, encouraging, and feels like a caring advisor. Format the output beautifully using headings, bullet points, and spacing.
 """
 
-# Main function to generate output
-def analyze_skin(input, name):
-    prompt = prompt_template.format(input=input)
-    
-    # Get response from Groq (Mixtral model)
-    response = client.chat.completions.create(
-        model="mixtral-8x7b-32768",
+    chat_completion = client.chat.completions.create(
         messages=[
-            {"role": "system", "content": "You are a helpful and friendly AI assistant."},
+            {"role": "system", "content": "You are a friendly skin care assistant."},
             {"role": "user", "content": prompt}
-        ]
+        ],
+        model="mixtral-8x7b-32768"
     )
 
-    raw_output = response.choices[0].message.content
-
-    # Fix <b> tags (auto-close them)
-    fixed_output = raw_output.replace("<b>", "<b>").replace("</b>", "</b>")
-    
-    # Add user name in greeting if provided
-    if name:
-        fixed_output = fixed_output.replace("Hi!", f"🌟 Hi {name}! 😊")
+    response = chat_completion.choices[0].message.content
 
-    return fixed_output
+    # Format for cleaner display
+    formatted_response = f"""
+    <div style="font-family: Arial, sans-serif; color: #333; padding: 10px;">
+        <h2 style="color:#4CAF50;">🌟 Hi Javeria! 😊</h2>
+        <p>{response.replace('\n', '<br>')}</p>
+    </div>
+    """
+    return formatted_response
 
-# Gradio UI setup
+# Gradio UI
 iface = gr.Interface(
     fn=analyze_skin,
-    inputs=[
-        gr.Textbox(label="Describe your skin concern (e.g., dry, acne, oily, sensitive, etc.)"),
-        gr.Textbox(label="Your name (optional)", placeholder="e.g. Javeria")
-    ],
+    inputs=gr.Textbox(lines=3, label="Describe Your Skin Symptoms (e.g., oily, acne, dark spots)", placeholder="Type your skin concerns here..."),
     outputs=gr.HTML(label="SkinSense AI Response"),
-    title="SkinSense AI 🧴🌸",
-    description="A GenAI-powered assistant for personalized skincare advice. Just describe your skin concern and get a full care plan instantly!"
+    title="🌿 SkinSense AI – Your Personal Skin Care Helper",
+    description="👩‍⚕️ Get a personalized skincare routine using GenAI. Just describe your skin symptoms!"
 )
 
 if __name__ == "__main__":