Update app.py

app.py

@@ -2,69 +2,76 @@ import os
 import gradio as gr
 from groq import Groq
 
-# Load Groq API key from Hugging Face secrets
+# Load API key
 api_key = os.getenv("AI_Learning")
 
 if not api_key:
-    raise ValueError("AI_Learning")
+    with gr.Blocks() as app:
+        gr.Markdown("## ❌ Configuration Error")
+        gr.Markdown("Groq API key not found. Add it in **Settings → Secrets** as `AI_Learning`.")
+    app.launch()
+    exit()
 
 client = Groq(api_key=api_key)
 
-# Function to generate roadmap
 def generate_roadmap(domain, level, duration):
-    prompt = f"""
-You are an expert AI mentor.
-
-Create a detailed learning roadmap for:
-- Domain: {domain}
-- Skill Level: {level}
-- Time Duration: {duration}
-
-The roadmap should include:
-1. Clear learning goals
-2. Step-by-step topics
-3. Weekly breakdown
-4. Tools & technologies
-5. Free learning resources
-6. Practical project ideas
-
-Make it beginner friendly and structured.
+    try:
+        if not domain or not duration:
+            return "⚠️ Please fill all fields."
+
+        prompt = f"""
+You are an expert mentor.
+
+Create a detailed learning roadmap.
+
+Domain: {domain}
+Skill level: {level}
+Learning duration: {duration}
+
+Include:
+- Weekly plan
+- Topics to learn
+- Tools & technologies
+- Free resources
+- Practice projects
+
+Make it clear and beginner friendly.
 """
 
-    response = client.chat.completions.create(
-        model="llama-3.1-70b-versatile",
-        messages=[
-            {"role": "system", "content": "You are a professional AI learning roadmap generator."},
-            {"role": "user", "content": prompt}
-        ],
-        temperature=0.7,
-        max_tokens=1200
-    )
+        response = client.chat.completions.create(
+            model="llama-3.1-8b-instant",  # safer & faster
+            messages=[
+                {"role": "system", "content": "You create structured learning roadmaps."},
+                {"role": "user", "content": prompt}
+            ],
+            temperature=0.6,
+            max_tokens=1000
+        )
+
+        return response.choices[0].message.content
 
-    return response.choices[0].message.content
+    except Exception as e:
+        return f"❌ Error occurred:\n\n{str(e)}"
 
 
-# Gradio UI
-with gr.Blocks(title="AI Learning Roadmap Generator") as app:
-    gr.Markdown("""
-    # 🚀 AI Learning Roadmap Generator
-    Generate a personalized learning roadmap using AI.
-    """)
+with gr.Blocks() as app:
+    gr.Markdown("# 🚀 AI Learning Roadmap Generator")
+    gr.Markdown("Generate a personalized learning roadmap using AI.")
 
-    domain = gr.Textbox(label="Domain / Field", placeholder="e.g. Artificial Intelligence, Web Development")
+    domain = gr.Textbox(label="Domain / Field", placeholder="e.g. Web Development")
     level = gr.Dropdown(
-        choices=["Beginner", "Intermediate", "Advanced"],
-        label="Skill Level"
+        ["Beginner", "Intermediate", "Advanced"],
+        label="Skill Level",
+        value="Beginner"
+    )
+    duration = gr.Textbox(
+        label="Time to Learn",
+        placeholder="e.g. 3 months, 6 months"
     )
-    duration = gr.Textbox(label="Time to Learn", placeholder="e.g. 3 months, 6 months")
 
-    generate_btn = gr.Button("Generate Roadmap")
+    btn = gr.Button("Generate Roadmap")
     output = gr.Markdown()
 
-    generate_btn.click(
-        fn=generate_roadmap,
-        inputs=[domain, level, duration],
-        outputs=output
-    )
+    btn.click(generate_roadmap, inputs=[domain, level, duration], outputs=output)
 
 app.launch()