Create app.py

app.py

@@ -0,0 +1,66 @@
+import os
+import gradio as gr
+from groq import Groq
+
+# Read API key from Hugging Face Space secret
+GROQ_API_KEY = os.environ.get("GROQ_API")
+
+if not GROQ_API_KEY:
+    raise ValueError(
+        "GROQ_API_KEY is not set. "
+        "Go to your Space Settings -> Variables and secrets -> add it as a secret."
+    )
+
+# Initialize Groq client
+client = Groq(api_key=GROQ_API_KEY)
+
+# You can change this later if needed
+DEFAULT_MODEL = os.environ.get("GROQ_MODEL", "openai/gpt-oss-safeguard-20b")
+
+
+def chat_with_groq(message, history):
+    """
+    Gradio passes:
+      - message: latest user input (str)
+      - history: list of [user, bot] pairs
+    """
+    try:
+        system_prompt = "You are a helpful AI assistant for Sajid. Answer clearly and simply."
+
+        messages = [{"role": "system", "content": system_prompt}]
+
+        # Add previous messages
+        for user_msg, bot_msg in history:
+            messages.append({"role": "user", "content": user_msg})
+            if bot_msg:
+                messages.append({"role": "assistant", "content": bot_msg})
+
+        # Add latest user message
+        messages.append({"role": "user", "content": message})
+
+        response = client.chat.completions.create(
+            model=DEFAULT_MODEL,
+            messages=messages,
+            max_tokens=512,
+            temperature=0.7,
+        )
+
+        reply = response.choices[0].message.content
+        return reply
+
+    except Exception as e:
+        # Show error inside the UI, useful if model name is wrong, etc.
+        return f"⚠ Error from Groq API: {e}"
+
+
+demo = gr.ChatInterface(
+    fn=chat_with_groq,
+    title="Sajid's GenAI Chat (Groq + Hugging Face Space)",
+    description=(
+        "A simple LLM chat app using Groq's API, deployed on Hugging Face Spaces. "
+        "Powered by Gradio."
+    ),
+)
+
+if _name_ == "_main_":
+    demo.launch()