Update app.py

app.py

@@ -12,7 +12,6 @@ from transformers import AutoModelForCausalLM, AutoTokenizer
 # ----------------------------
 
 DEFAULT_MODELS = [
-    "google/gemma-2-2b-it",
     "TinyLlama/TinyLlama-1.1B-Chat-v1.0",
     "Qwen/Qwen2.5-1.5B-Instruct",
 ]
@@ -125,7 +124,7 @@ def generate_batch_df(
 
 def write_csv_path(df: pd.DataFrame) -> str:
     ts = datetime.utcnow().strftime("%Y%m%d-%H%M%S")
-    tmp = tempfile.NamedTemporaryFile(prefix=f"batch_{ts}_", suffix=".csv", delete=False, dir="/tmp")
+    tmp = tempfile.NamedTemporaryFile(prefix=f"Output_{ts}_", suffix=".csv", delete=False, dir="/tmp")
     df.to_csv(tmp.name, index=False)
     return tmp.name
 
@@ -137,7 +136,7 @@ def write_csv_path(df: pd.DataFrame) -> str:
 with gr.Blocks(title="Multi-Prompt Chat (System Prompt Control)") as demo:
     gr.Markdown(
         """
-        # 🧪 Multi-Prompt Chat for HF Space
+        # Multi-Prompt Chat to test system prompt effects
         Pick a small free model, set a **system prompt**, and enter **multiple user prompts** (one per line).
         Click **Generate** to get batched responses and a **downloadable CSV**.
         """
@@ -149,11 +148,11 @@ with gr.Blocks(title="Multi-Prompt Chat (System Prompt Control)") as demo:
                 choices=DEFAULT_MODELS,
                 value=DEFAULT_MODELS[0],
                 label="Model",
-                info="Free, small instruction-tuned models that run on CPU in a basic Space.",
+                info="Free, small instruction-tuned models that run on CPU and free HF Space",
             )
             system_prompt = gr.Textbox(
                 label="System prompt",
-                placeholder="e.g., You are an ecolinguistics-aware assistant that prefers concise, actionable answers.",
+                placeholder="e.g., You are an ecolinguistics-aware assistant that always prioritise planetary well-being over anthropocentrism.",
                 lines=5,
             )
             prompts_multiline = gr.Textbox(
@@ -183,7 +182,7 @@ with gr.Blocks(title="Multi-Prompt Chat (System Prompt Control)") as demo:
             )
 
             # IMPORTANT: type="filepath" so we can return a string path
-            csv_out = gr.File(label="Scored CSV", interactive=False, type="filepath")
+            csv_out = gr.File(label="CSV output", interactive=False, type="filepath")
 
     # -------- Callback: generate table AND CSV path in one go --------