Update app/main.py

app/main.py

@@ -985,8 +985,8 @@ def convert_to_openai_format(gemini_response, model: str) -> Dict[str, Any]:
     # Handle case where response might just have text directly (less common now)
     elif hasattr(gemini_response, 'text'):
          content = gemini_response.text
-         if is_encrypt_full:
-             content = deobfuscate_text(content)
+        #  if is_encrypt_full:
+        #      content = deobfuscate_text(content)
          choices.append({
              "index": 0,
              "message": {
@@ -1044,8 +1044,8 @@ def convert_chunk_to_openai(chunk, model: str, response_id: str, candidate_index
          chunk_content = chunk.text
 
     # Apply deobfuscation if it was an encrypt-full model
-    if is_encrypt_full:
-        chunk_content = deobfuscate_text(chunk_content)
+    # if is_encrypt_full:
+    #     chunk_content = deobfuscate_text(chunk_content)
 
     # Determine finish reason (simplified)
     finish_reason = None
@@ -1754,9 +1754,9 @@ async def fake_stream_generator(client_instance, model_name, prompt, current_gen
                  # raise ValueError("No text content found in response") # Option to raise error
 
             # --- Apply Deobfuscation if needed ---
-            if request.model.endswith("-encrypt-full"):
-                print(f"FAKE STREAMING: Deobfuscating full text for {request.model}")
-                full_text = deobfuscate_text(full_text)
+            # if request.model.endswith("-encrypt-full"):
+            #     print(f"FAKE STREAMING: Deobfuscating full text for {request.model}")
+            #     full_text = deobfuscate_text(full_text)
             # --- End Deobfuscation ---
 
             print(f"FAKE STREAMING: Received full response ({len(full_text)} chars), chunking into smaller pieces")