Create app.py

app.py

@@ -0,0 +1,74 @@
+import gradio as gr
+from groq import Groq
+import os
+import time
+
+# =========================
+# LOAD API KEY (HUGGING FACE SECRETS)
+# =========================
+api_key = os.getenv("GROQ_API_KEY")
+
+if not api_key:
+    raise ValueError("GROQ_API_KEY not found in environment variables")
+
+client = Groq(api_key=api_key.strip())
+
+# =========================
+# CHAT FUNCTION (STREAMING)
+# =========================
+def chat(message, history):
+    try:
+        messages = [
+            {
+                "role": "system",
+                "content": "You are a helpful AI assistant."
+            }
+        ]
+
+        # Add history
+        for user, bot in history:
+            messages.append({"role": "user", "content": user})
+            messages.append({"role": "assistant", "content": bot})
+
+        messages.append({"role": "user", "content": message})
+
+        # Streaming request
+        stream = client.chat.completions.create(
+            model="llama-3.3-70b-versatile",
+            messages=messages,
+            stream=True,
+            temperature=0.7
+        )
+
+        response_text = ""
+
+        # Stream output token by token
+        for chunk in stream:
+            if chunk.choices[0].delta.content:
+                token = chunk.choices[0].delta.content
+                response_text += token
+
+                # Slow typing effect
+                time.sleep(0.03)
+
+                yield response_text + "▌"
+
+        # Final clean output
+        yield response_text
+
+    except Exception as e:
+        yield f"Error: {str(e)}"
+
+# =========================
+# UI (PROFESSIONAL)
+# =========================
+demo = gr.ChatInterface(
+    fn=chat,
+    title="Streaming AI Chatbot using Groq",
+    description="AI chatbot with real-time response streaming",
+)
+
+# =========================
+# LAUNCH APP
+# =========================
+demo.launch()