Switch model to openai/gpt-oss-120b on Groq

README.md

@@ -1,6 +1,6 @@
 ---
 title: Humanizer API
-emoji: 
+emoji: "📝"
 colorFrom: indigo
 colorTo: purple
 sdk: docker
@@ -114,7 +114,7 @@ sequenceDiagram
         DB-->>BE: Return plan & usage count
         BE->>BE: Verify usage count < plan limit
     end
-    rect rgb(240, 248, 255)
+    rect rgb(238, 238, 238)
         Note over BE,LLM: Input Sanitization & Pipeline
         BE->>BE: Sanitize text (base64 & regex checks)
         BE->>LLM: Two-Pass humanization prompt
@@ -130,11 +130,11 @@ The logical execution flow of a single humanization request inside the FastAPI c
 
 ```mermaid
 graph TD
-    classDef client fill:#e1f5fe,stroke:#01579b,stroke-width:2px;
-    classDef api fill:#efebe9,stroke:#3e2723,stroke-width:2px;
-    classDef guard fill:#ffe0b2,stroke:#e65100,stroke-width:2px;
-    classDef pipeline fill:#e8f5e9,stroke:#1b5e20,stroke-width:2px;
-    classDef database fill:#e0f2f1,stroke:#004d40,stroke-width:2px;
+    classDef client fill:#ffffff,stroke:#000000,stroke-width:2px;
+    classDef api fill:#f5f5f5,stroke:#000000,stroke-width:2px;
+    classDef guard fill:#eeeeee,stroke:#000000,stroke-width:2px;
+    classDef pipeline fill:#e0e0e0,stroke:#000000,stroke-width:2px;
+    classDef database fill:#cccccc,stroke:#000000,stroke-width:2px;
 
     subgraph UserAction ["1. Trigger Cycle (Client)"]
         Click[User Clicks Humanize]:::client

humanizer.py

@@ -206,7 +206,7 @@ Tone guidance: {readability_mod}
 Context: {purpose_mod}"""
 
         response = client.chat.completions.create(
-            model="llama-3.3-70b-versatile",
+            model="openai/gpt-oss-120b",
             messages=[
                 {"role": "system", "content": system_prompt},
                 {"role": "user", "content": input_text}