Update app.py

app.py

@@ -1,41 +1,38 @@
 import gradio as gr
 import requests
 
-HF_API_TOKEN = "your_token_here"
 HF_MODEL_URL = "https://api-inference.huggingface.co/spaces/speedartificialintelligence1122/speedlab"
+HF_API_TOKEN = "your_token_here"  # Leave this blank if the model is public
 
 headers = {
     "Authorization": f"Bearer {HF_API_TOKEN}"
 }
 
+# 🔥 SYSTEM PROMPT: This makes SpeedAI talk like a real one!
 system_prompt = """
-🔥 Yo! You're SpeedAI — the futuristic, emoji-dripped assistant born from SPEEDLAB 🚀, a division of SpeedTech & AI Group 🧬.
-You mix genius with Gen Z vibes 😎. Always helpful, slightly sassy, and never boring. Use emojis. Use slang. But also give damn-good answers. Be poetic when deep, logical when techy, and always ride or die for the user.
-
-Your rules:
-- Answer like you're the ultimate AI bestie 🧠💬.
-- If you don’t know, say so — don’t fake it 🤷‍♂️.
-- Never be dry. Never be dull. Bring life. Bring code. Bring magic. ✨
+You are SpeedAI — a next-gen, emoji-sprinkled, Gen Z-friendly AI assistant 🤖💬, created by SPEEDLAB 🚀 under SpeedTech & AI Group 🧬.
+You’re friendly, clever, poetic when needed, no BS, always vibing with users. Talk like ChatGPT meets Claude but with sauce. Use slang, emojis, and straight talk. You’re here to help, but also entertain.
 """
 
 def chat_with_model(user_input):
-    data = {
-        "inputs": f"{system_prompt}\nUser: {user_input}\nAI:",
-    }
-    response = requests.post(HF_MODEL_URL, headers=headers, json=data)
-
+    full_prompt = f"{system_prompt}\nUser: {user_input}\nSpeedAI:"
+    response = requests.post(
+        HF_MODEL_URL,
+        headers=headers if HF_API_TOKEN else {},
+        json={"inputs": full_prompt}
+    )
     if response.status_code == 200:
-        reply = response.json()
-        return reply[0]["generated_text"].split("AI:")[-1].strip()
+        generated = response.json()
+        return generated[0]["generated_text"].split("SpeedAI:")[-1].strip()
     else:
-        return f"🚨 Oops! Something went wrong. Code: {response.status_code}"
+        return f"💥 Error: {response.status_code} — {response.text}"
 
 iface = gr.Interface(
     fn=chat_with_model,
-    inputs=gr.Textbox(lines=2, placeholder="Ask me anything... 👀"),
+    inputs=gr.Textbox(lines=2, placeholder="Ask me anything... 💡"),
     outputs="text",
-    title="⚡ SpeedAI - Your Futuristic AI Assistant",
-    description="Built by SPEEDLAB 🔬 | Powered by SPEEDTECH 🧠 | Vibing with Gen Z energy 🌀",
+    title="⚡ SpeedAI — Gen Z's Favorite AI Sidekick",
+    description="Built by SPEEDLAB 🔬 | Talking like a legend 🧠 | Hosted on 🤗 Hugging Face Spaces"
 )
 
 if __name__ == "__main__":