changed minimum number of likes and downloads to 1

hanlde_form_submit.py

@@ -9,7 +9,10 @@ from prompt_engeneering import rewrite_prompt
 from supported_models import get_supported_model_names
 
 
-SUPPORTED_MODEL_NAMES = get_supported_model_names()
+SUPPORTED_MODEL_NAMES = get_supported_model_names(
+    min_number_of_downloads=1,
+    min_number_of_likes=1,
+)
 
 
 def is_downloaded(model_name: str) -> bool:
@@ -36,7 +39,7 @@ def create_pipeline(model_name: str, group_size: int) -> GroupedSamplingPipeLine
         download_repository(model_name)
         download_repository_end_time = time()
         download_time = download_repository_end_time - download_repository_start_time
-        st.write(f"Finished downloading model: {model_name} from the internet in {download_time} seconds.")
+        st.write(f"Finished downloading model: {model_name} from the internet in {download_time:,.2f} seconds.")
     st.write(f"Starts creating pipeline with model: {model_name}")
     pipeline_start_time = time()
     pipeline = GroupedSamplingPipeLine(
@@ -48,7 +51,7 @@ def create_pipeline(model_name: str, group_size: int) -> GroupedSamplingPipeLine
     )
     pipeline_end_time = time()
     pipeline_time = pipeline_end_time - pipeline_start_time
-    st.write(f"Finished creating pipeline with model: {model_name} in {pipeline_time} seconds.")
+    st.write(f"Finished creating pipeline with model: {model_name} in {pipeline_time:,.2f} seconds.")
     return pipeline
 
 
@@ -100,7 +103,7 @@ def on_form_submit(model_name: str, output_length: int, prompt: str) -> str:
     )
     loading_end_time = time()
     loading_time = loading_end_time - loading_start_time
-    st.write(f"Finished loading model: {model_name}  in {loading_time} seconds.")
+    st.write(f"Finished loading model: {model_name}  in {loading_time:,.2f} seconds.")
     st.write(f"Generating text...")
     generation_start_time = time()
     generated_text = generate_text(
@@ -110,7 +113,7 @@ def on_form_submit(model_name: str, output_length: int, prompt: str) -> str:
     )
     generation_end_time = time()
     generation_time = generation_end_time - generation_start_time
-    st.write(f"Finished generating text in {generation_time} seconds.")
+    st.write(f"Finished generating text in {generation_time:,.2f} seconds.")
     if not isinstance(generated_text, str):
         raise RuntimeError(f"The model {model_name} did not generate any text.")
     if len(generated_text) == 0: