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app.py

@@ -468,26 +468,16 @@ def use_ai_model(model_name, input_text, user_session="guest"):
     try:
         # Use HuggingFace Inference API for REAL AI responses
         if category in ["image_gen", "image_edit"]:
-            response = f"🎨 {model_name} is generating your image...
-
-"
-            response += f"📸 Prompt: '{input_text}'
-
-"
+            response = f"🎨 {model_name} is generating your image...\n\n"
+            response += f"📸 Prompt: '{input_text}'\n\n"
             response += f"ℹ️ Image generation models require special handling. "
-            response += f"The model '{model_name}' will create an image based on your prompt.
-
-"
+            response += f"The model '{model_name}' will create an image based on your prompt.\n\n"
             response += f"💡 To view the generated image, use the Image Generation interface."
             return response
 
         elif category == "audio":
-            response = f"🎵 {model_name} audio processing...
-
-"
-            response += f"Input: '{input_text}'
-
-"
+            response = f"🎵 {model_name} audio processing...\n\n"
+            response += f"Input: '{input_text}'\n\n"
             response += f"ℹ️ Audio models require audio file input or special parameters. "
             response += f"Please use the Audio Processing interface for full functionality."
             return response
@@ -518,39 +508,19 @@ def use_ai_model(model_name, input_text, user_session="guest"):
                 icons = {"software_engineer": "💻", "education": "🎓", "multimodal": "🤖", "text": "🧠"}
                 icon = icons.get(category, "✨")
 
-                return f"{icon} **{model_name}**
-
-{full_response}"
+                return f"{icon} **{model_name}**\n\n{full_response}"
 
             except Exception as e:
                 error_msg = str(e)
                 if "404" in error_msg or "not found" in error_msg.lower():
-                    return f"⚠️ Model '{model_name}' is not available via Inference API.
-
-Try using a popular model like:
-- Qwen/Qwen2.5-72B-Instruct
-- meta-llama/Llama-3.3-70B-Instruct
-- mistralai/Mistral-7B-Instruct-v0.3"
+                    return f"⚠️ Model '{model_name}' is not available via Inference API.\n\nTry using a popular model like:\n- Qwen/Qwen2.5-72B-Instruct\n- meta-llama/Llama-3.3-70B-Instruct\n- mistralai/Mistral-7B-Instruct-v0.3"
                 elif "rate limit" in error_msg.lower():
-                    return f"⏱️ Rate limit reached. Please:
-1. Wait a moment and try again
-2. Add your HF_TOKEN in Space settings for higher limits
-3. Use a different model
-
-Error: {error_msg}"
+                    return f"⏱️ Rate limit reached. Please:\n1. Wait a moment and try again\n2. Add your HF_TOKEN in Space settings for higher limits\n3. Use a different model\n\nError: {error_msg}"
                 else:
-                    return f"❌ Error calling {model_name}:
-{error_msg}
-
-Try:
-1. Check if model name is correct
-2. Try a different model
-3. Add HF_TOKEN for authentication"
+                    return f"❌ Error calling {model_name}:\n{error_msg}\n\nTry:\n1. Check if model name is correct\n2. Try a different model\n3. Add HF_TOKEN for authentication"
 
     except Exception as e:
-        return f"❌ Unexpected error: {str(e)}
-
-Please try again or use a different model."
+        return f"❌ Unexpected error: {str(e)}\n\nPlease try again or use a different model."
 
 
 def get_cloudflare_status():