hide param settings by default

.env.example

@@ -17,7 +17,7 @@ HF_PIPELINE_DEVICE_TYPE=
 # LOAD_QUANTIZED_MODEL=8bit
 
 CHAT_HISTORY_ENABLED=true
-
+SHOW_PARAM_SETTINGS=false
 PDF_FILE_BASE_URL=https://ai-engd.netlify.app/pdfs/books/
 
 # if unset, default to "hkunlp/instructor-xl"
@@ -66,6 +66,6 @@ TOKENIZERS_PARALLELISM=true
 
 # env variables for ingesting source PDF files
 SOURCE_PDFS_PATH="./data/pdfs/"
-
+SOURCE_URLS=
 CHUNCK_SIZE=1024
 CHUNK_OVERLAP=512

app.py

@@ -31,7 +31,9 @@ n_threds = int(os.environ.get("NUMBER_OF_CPU_CORES") or "4")
 index_path = os.environ.get("FAISS_INDEX_PATH") or os.environ.get("CHROMADB_INDEX_PATH")
 using_faiss = os.environ.get("FAISS_INDEX_PATH") is not None
 llm_model_type = os.environ.get("LLM_MODEL_TYPE")
-chat_history_enabled = os.environ.get("CHAT_HISTORY_ENABLED") or "true"
+chat_history_enabled = os.environ.get("CHAT_HISTORY_ENABLED") == "true"
+show_param_settings = os.environ.get("SHOW_PARAM_SETTINGS") == "true"
+
 
 streaming_enabled = True  # llm_model_type in ["openai", "llamacpp"]
 
@@ -85,7 +87,7 @@ def qa(chatbot):
 
     with start_blocking_portal() as portal:
         chat_history = []
-        if chat_history_enabled == "true":
+        if chat_history_enabled:
             for i in range(len(chatbot) - 1):
                 element = chatbot[i]
                 item = (element[0] or "", element[1] or "")
@@ -151,44 +153,45 @@ with gr.Blocks(css=customCSS, theme=small_and_beautiful_theme) as demo:
                     min_width=70,
                 ):
                     clearBtn = gr.Button("Clear")
-        with gr.Column():
-            with gr.Column(
-                min_width=50,
-            ):
-                with gr.Tab(label="Parameter Setting"):
-                    gr.Markdown("# Parameters")
-                    top_p = gr.Slider(
-                        minimum=-0,
-                        maximum=1.0,
-                        value=0.95,
-                        step=0.05,
-                        # interactive=True,
-                        label="Top-p",
-                    )
-                    temperature = gr.Slider(
-                        minimum=0.1,
-                        maximum=2.0,
-                        value=0,
-                        step=0.1,
-                        # interactive=True,
-                        label="Temperature",
-                    )
-                    max_new_tokens = gr.Slider(
-                        minimum=0,
-                        maximum=2048,
-                        value=2048,
-                        step=8,
-                        # interactive=True,
-                        label="Max Generation Tokens",
-                    )
-                    max_context_length_tokens = gr.Slider(
-                        minimum=0,
-                        maximum=4096,
-                        value=4096,
-                        step=128,
-                        # interactive=True,
-                        label="Max Context Tokens",
-                    )
+        if show_param_settings:
+            with gr.Column():
+                with gr.Column(
+                    min_width=50,
+                ):
+                    with gr.Tab(label="Parameter Setting"):
+                        gr.Markdown("# Parameters")
+                        top_p = gr.Slider(
+                            minimum=-0,
+                            maximum=1.0,
+                            value=0.95,
+                            step=0.05,
+                            # interactive=True,
+                            label="Top-p",
+                        )
+                        temperature = gr.Slider(
+                            minimum=0.1,
+                            maximum=2.0,
+                            value=0,
+                            step=0.1,
+                            # interactive=True,
+                            label="Temperature",
+                        )
+                        max_new_tokens = gr.Slider(
+                            minimum=0,
+                            maximum=2048,
+                            value=2048,
+                            step=8,
+                            # interactive=True,
+                            label="Max Generation Tokens",
+                        )
+                        max_context_length_tokens = gr.Slider(
+                            minimum=0,
+                            maximum=4096,
+                            value=4096,
+                            step=128,
+                            # interactive=True,
+                            label="Max Context Tokens",
+                        )
     gr.Markdown(description)
 
     def chat(user_message, history):