fix model validation when using ollama

src/synthetic_dataset_generator/apps/chat.py

@@ -527,77 +527,76 @@ with gr.Blocks() as app:
                             label="Distilabel Pipeline Code",
                         )
 
-        load_btn.click(
-            fn=generate_system_prompt,
-            inputs=[dataset_description],
-            outputs=[system_prompt],
-            show_progress=True,
-        ).then(
-            fn=generate_sample_dataset,
-            inputs=[system_prompt, num_turns],
-            outputs=[dataframe],
-            show_progress=True,
-        )
-
-        btn_apply_to_sample_dataset.click(
-            fn=generate_sample_dataset,
-            inputs=[system_prompt, num_turns],
-            outputs=[dataframe],
-            show_progress=True,
-        )
+            load_btn.click(
+                fn=generate_system_prompt,
+                inputs=[dataset_description],
+                outputs=[system_prompt],
+                show_progress=True,
+            ).then(
+                fn=generate_sample_dataset,
+                inputs=[system_prompt, num_turns],
+                outputs=[dataframe],
+                show_progress=True,
+            )
 
-        btn_push_to_hub.click(
-            fn=validate_argilla_user_workspace_dataset,
-            inputs=[repo_name],
-            outputs=[success_message],
-            show_progress=True,
-        ).then(
-            fn=validate_push_to_hub,
-            inputs=[org_name, repo_name],
-            outputs=[success_message],
-            show_progress=True,
-        ).success(
-            fn=hide_success_message,
-            outputs=[success_message],
-            show_progress=True,
-        ).success(
-            fn=hide_pipeline_code_visibility,
-            inputs=[],
-            outputs=[pipeline_code_ui],
-            show_progress=True,
-        ).success(
-            fn=push_dataset,
-            inputs=[
-                org_name,
-                repo_name,
-                system_prompt,
-                num_turns,
-                num_rows,
-                private,
-                temperature,
-                pipeline_code,
-            ],
-            outputs=[success_message],
-            show_progress=True,
-        ).success(
-            fn=show_success_message,
-            inputs=[org_name, repo_name],
-            outputs=[success_message],
-        ).success(
-            fn=generate_pipeline_code,
-            inputs=[system_prompt, num_turns, num_rows, temperature],
-            outputs=[pipeline_code],
-        ).success(
-            fn=show_pipeline_code_visibility,
-            inputs=[],
-            outputs=[pipeline_code_ui],
-        )
-        gr.on(
-            triggers=[clear_btn_part.click, clear_btn_full.click],
-            fn=lambda _: ("", "", 1, _get_dataframe()),
-            inputs=[dataframe],
-            outputs=[dataset_description, system_prompt, num_turns, dataframe],
-        )
+            btn_apply_to_sample_dataset.click(
+                fn=generate_sample_dataset,
+                inputs=[system_prompt, num_turns],
+                outputs=[dataframe],
+                show_progress=True,
+            )
 
+            btn_push_to_hub.click(
+                fn=validate_argilla_user_workspace_dataset,
+                inputs=[repo_name],
+                outputs=[success_message],
+                show_progress=True,
+            ).then(
+                fn=validate_push_to_hub,
+                inputs=[org_name, repo_name],
+                outputs=[success_message],
+                show_progress=True,
+            ).success(
+                fn=hide_success_message,
+                outputs=[success_message],
+                show_progress=True,
+            ).success(
+                fn=hide_pipeline_code_visibility,
+                inputs=[],
+                outputs=[pipeline_code_ui],
+                show_progress=True,
+            ).success(
+                fn=push_dataset,
+                inputs=[
+                    org_name,
+                    repo_name,
+                    system_prompt,
+                    num_turns,
+                    num_rows,
+                    private,
+                    temperature,
+                    pipeline_code,
+                ],
+                outputs=[success_message],
+                show_progress=True,
+            ).success(
+                fn=show_success_message,
+                inputs=[org_name, repo_name],
+                outputs=[success_message],
+            ).success(
+                fn=generate_pipeline_code,
+                inputs=[system_prompt, num_turns, num_rows, temperature],
+                outputs=[pipeline_code],
+            ).success(
+                fn=show_pipeline_code_visibility,
+                inputs=[],
+                outputs=[pipeline_code_ui],
+            )
+            gr.on(
+                triggers=[clear_btn_part.click, clear_btn_full.click],
+                fn=lambda _: ("", "", 1, _get_dataframe()),
+                inputs=[dataframe],
+                outputs=[dataset_description, system_prompt, num_turns, dataframe],
+            )
+            app.load(fn=get_org_dropdown, outputs=[org_name])
         app.load(fn=swap_visibility, outputs=main_ui)
-        app.load(fn=get_org_dropdown, outputs=[org_name])

src/synthetic_dataset_generator/constants.py

@@ -46,10 +46,14 @@ if os.getenv("MAGPIE_PRE_QUERY_TEMPLATE"):
         raise ValueError(
             f"MAGPIE_PRE_QUERY_TEMPLATE must be either {llama_options} or {qwen_options}."
         )
-elif MODEL.lower() in llama_options:
+elif MODEL.lower() in llama_options or any(
+    option in MODEL.lower() for option in llama_options
+):
     SFT_AVAILABLE = True
     MAGPIE_PRE_QUERY_TEMPLATE = "llama3"
-elif MODEL.lower() in qwen_options:
+elif MODEL.lower() in qwen_options or any(
+    option in MODEL.lower() for option in qwen_options
+):
     SFT_AVAILABLE = True
     MAGPIE_PRE_QUERY_TEMPLATE = "qwen2"
 else: