Upload app.py with huggingface_hub

app.py

@@ -734,7 +734,7 @@ def generate_prompt_with_glm(image_description: str, user_request: str, style: s
 
 TASK: Combine the image description with the requested changes into ONE image prompt.
 
-GLOBAL RULE: Maximum 800 tokens. Output ONLY the prompt text itself.
+GLOBAL RULE: Your output text CANNOT exceed 4000 TOKENS. This is a strict limit. Output ONLY the prompt text itself.
 
 ABSOLUTELY FORBIDDEN - NEVER OUTPUT THESE:
 - Planning text: "Add textures:", "Include lighting:", "The key elements are:"
@@ -757,7 +757,7 @@ OUTPUT THE IMAGE PROMPT NOW - NOTHING ELSE:"""
     try:
         response = client.chat.completions.create(
             model="deepseek-reasoner",
-            max_tokens=800,
+            max_tokens=4000,
             messages=[
                 {"role": "system", "content": system_prompt},
                 {"role": "user", "content": f"ORIGINAL IMAGE: {desc}\n\nREQUESTED CHANGES: {user_request}{style_hint}"}
@@ -816,8 +816,8 @@ OUTPUT THE IMAGE PROMPT NOW - NOTHING ELSE:"""
                 else:
                     break
             
-            # Truncate if too long
-            max_words = 800
+            # Truncate if too long (4000 tokens ~ 3000 words max)
+            max_words = 3000
             words = content.split()
             if len(words) > max_words:
                 content = " ".join(words[:max_words])