Update app.py

app.py

@@ -529,20 +529,6 @@ def send_to_model_impl(prompt, model_selection, hf_model_choice, hf_custom_model
                 model_id = f"hf:{glhf_custom_model}"
                 
             summary = send_to_glhf(prompt, glhf_api_key, model_id, use_rate_limits)
-            
-            if not summary:
-                return "Error: No response from model", None
-                
-            if not isinstance(summary, str):
-                return "Error: Invalid response type from model", None
-                
-            # Create download file for valid responses
-            if not summary.startswith("Error"):
-                with tempfile.NamedTemporaryFile(delete=False, mode='w', suffix='.txt') as f:
-                    f.write(summary)
-                    return summary, f.name
-                    
-            return summary, None
         
         else:
             return "Error: Invalid model selection", None
@@ -594,9 +580,8 @@ def send_to_hf_inference(prompt: str, model_name: str, api_key: str = None, use_
 
     return apply_rate_limit(_send, 16) if use_rate_limit else _send()
 
-def send_to_glhf(prompt: str, use_hf_model: bool, model_name: str, custom_model: str,
-                api_key: str, use_rate_limit: bool = False) -> str:
-    """Send prompt to GLHF API with model selection."""
+def send_to_glhf(prompt: str, api_key: str, model_id: str, use_rate_limit: bool = False) -> str:
+    """Send prompt to GLHF API."""
     def _send():
         try:
             import openai
@@ -604,8 +589,6 @@ def send_to_glhf(prompt: str, use_hf_model: bool, model_name: str, custom_model:
                 api_key=api_key,
                 base_url="https://glhf.chat/api/openai/v1",
             )
-
-            model_id = f"hf:{model_name if use_hf_model else custom_model}"
             
             # For GLHF, always use streaming for reliability
             completion = client.chat.completions.create(
@@ -1138,15 +1121,18 @@ with gr.Blocks(css="""
                     gr.Dropdown(choices=[])    # not used
                 ]
             elif choice == "GLHF API":
+                # Always show HuggingFace models for GLHF since they're used in both cases
+                model_choices = list(model_registry.hf_models.keys())
                 return [
-                    gr.update(visible=False),  # hf_options
+                    gr.update(visible=True),   # hf_options - Keep visible for model selection
                     gr.update(visible=False),  # groq_options
                     gr.update(visible=False),  # openai_options
                     gr.update(visible=False),  # cohere_options
                     gr.update(visible=True),   # glhf_options
                     gr.update(value=ctx_size), # context_size
-                    gr.Dropdown(choices=[])    # not used
+                    gr.Dropdown(choices=model_choices, value="Mixtral 7B")  # Use HF models
                 ]
+
         
         # Default return for "Clipboard only" or other options
         return [