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Update app.py
Browse files
app.py
CHANGED
@@ -398,121 +398,50 @@ def ui_upload_memories_action_fn(uploaded_file_obj, progress=gr.Progress()):
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msg = f"Memories Upload: Processed {total_to_process}. Added: {added_count}, Format Errors: {format_error_count}, Save Errors: {save_error_count}."
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logger.info(msg); return msg
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custom_theme = gr.themes.Base(primary_hue="teal", secondary_hue="purple", neutral_hue="zinc", text_size="md", spacing_size="md", radius_size="sm", font=["System UI", "sans-serif"])
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custom_css = """
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body { background: linear-gradient(to bottom right, #2c3e50, #34495e); color: #ecf0f1;
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.gradio-container { background: transparent !important; max-width: 100% !important; padding:
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.gr-
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border: 1px solid rgba(189, 195, 199, 0.2) !important;
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border-radius: 8px !important;
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box-shadow: 0 2px 4px rgba(0,0,0,0.2);
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padding: 1em; /* Add padding inside the group */
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margin-bottom: 1rem; /* Space below groups */
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}
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.gr-panel, .gr-tabs, .gr-accordion { /* .gr-panel might be an older class, but keep if it targets something */
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background-color: rgba(44, 62, 80, 0.85) !important;
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border: 1px solid rgba(189, 195, 199, 0.2) !important;
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border-radius: 8px !important;
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box-shadow: 0 4px 6px rgba(0,0,0,0.1);
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}
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.gr-tabitem {
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background-color: rgba(52, 73, 94, 0.75) !important;
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border-radius: 6px !important;
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padding: 1em !important;
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border: 1px solid rgba(189, 195, 199, 0.1) !important;
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margin-bottom: 5px !important; /* Added from previous for consistency */
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}
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.gr-accordion {
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background-color: rgba(52, 73, 94, 0.7) !important;
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border-radius: 6px !important;
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border: 1px solid rgba(189, 195, 199, 0.15) !important;
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}
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.gr-textbox, .gr-dropdown, .gr-button, .gr-code, .gr-chat-message, .gr-json, .gr-file input[type="file"] {
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border: 1px solid rgba(189, 195, 199, 0.3) !important;
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background-color: rgba(52, 73, 94, 0.9) !important;
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color: #ecf0f1 !important;
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border-radius: 6px !important;
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}
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.gr-file {
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background-color: rgba(52, 73, 94, 0.9) !important;
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border-radius: 6px !important; padding: 0.5em;
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}
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.gr-file > .label-text { color: #bdc3c7 !important;}
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.gr-textarea textarea, .gr-textbox input { color: #ecf0f1 !important; }
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.gr-button.gr-button-primary { background-color: #1abc9c !important; color: white !important; border-color: #16a085 !important; }
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.gr-button.gr-button-secondary { background-color: #9b59b6 !important; color: white !important; border-color: #8e44ad !important; }
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.gr-button.gr-button-stop { background-color: #e74c3c !important; color: white !important; border-color: #c0392b !important; }
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.gr-markdown {
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.gr-markdown
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}
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.gr-markdown p, .gr-markdown li { color: #ecf0f1 !important; }
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.gr-markdown pre code {
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background-color: rgba(30, 40, 50, 0.95) !important;
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border: 1px solid rgba(189, 195, 199, 0.3) !important;
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color: #ecf0f1;
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border-radius: 4px; padding: 0.8em;
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}
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.gr-chatbot {
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background-color: rgba(44, 62, 80, 0.7) !important;
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border: 1px solid rgba(189, 195, 199, 0.2) !important;
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}
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.gr-chatbot .message {
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background-color: rgba(52, 73, 94, 0.9) !important;
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color: #ecf0f1 !important;
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border: 1px solid rgba(189, 195, 199, 0.2) !important;
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box-shadow: 0 1px 2px rgba(0,0,0,0.1) !important;
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}
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.gr-chatbot .message.user {
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background-color: rgba(46, 204, 113, 0.8) !important;
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color: #2c3e50 !important;
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}
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.gr-input-label > .label-text, .gr-dropdown-label > .label-text, .gr-checkbox-label > .label-text {
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color: #bdc3c7 !important;
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font-size: 0.9rem !important;
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}
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.gr-info { color: #bdc3c7 !important; font-size: 0.85rem !important; }
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margin-bottom: 1rem;
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}
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.tabnav button { /* Style for tab buttons */
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background-color: rgba(52, 73, 94, 0.8) !important;
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color: #ecf0f1 !important;
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border-bottom: 2px solid transparent !important;
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border-top-left-radius: 6px !important;
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border-top-right-radius: 6px !important;
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margin-right: 2px !important;
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}
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.tabnav button.selected {
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background-color: rgba(44, 62, 80, 0.95) !important;
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color: #1abc9c !important;
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border-bottom: 2px solid #1abc9c !important;
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}
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"""
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with gr.Blocks(theme=custom_theme, title="AI Research
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gr.Markdown("#
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avail_provs = get_available_providers()
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def_prov = avail_provs[0] if avail_provs else None
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@@ -526,37 +455,37 @@ with gr.Blocks(theme=custom_theme, title="AI Research Mega Agent v5.4") as demo:
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with gr.Column(scale=2): gr.Textbox(label="SQLite Path", value=f"{MEMORY_SQLITE_PATH}", interactive=False)
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elif MEMORY_STORAGE_BACKEND == "HF_DATASET":
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with gr.Column(scale=2): gr.Textbox(label="HF Repos", value=f"M: {MEMORY_HF_MEM_REPO}, R: {MEMORY_HF_RULES_REPO}", interactive=False)
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with gr.Row(equal_height=False):
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with gr.Column(scale=1, min_width=
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gr.Markdown("## βοΈ Configuration")
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with gr.Group():
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gr.Markdown("###
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api_key_tb = gr.Textbox(label="AI Provider API Key (Optional Override)", type="password", placeholder="Paste key
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prov_sel_dd = gr.Dropdown(label="AI Provider", choices=avail_provs, value=def_prov, interactive=True)
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model_sel_dd = gr.Dropdown(label="AI Model", choices=def_models, value=def_model_disp, interactive=True)
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with gr.Group():
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gr.Markdown("### System Prompt")
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sys_prompt_tb = gr.Textbox(label="System Prompt Base", lines=
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with gr.Column(scale=
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with gr.Tabs():
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with gr.TabItem("π¬ AI Chat & Research"):
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gr.Markdown("## π¬ AI Chat Interface")
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main_chat_disp = gr.Chatbot(label="AI Research Chat", height=
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with gr.Row():
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user_msg_tb = gr.Textbox(show_label=False, placeholder="Ask your research question or give an instruction...", scale=7, lines=1, max_lines=5, autofocus=True)
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send_btn = gr.Button("Send", variant="primary", scale=1, min_width=100)
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with gr.Accordion("π Full Response / Output Details", open=
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fmt_report_tb = gr.Textbox(label="Full AI Response", lines=10, interactive=True, show_copy_button=True, value="*AI responses will appear here...*")
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dl_report_btn = gr.DownloadButton("Download Report", interactive=False, visible=False)
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detect_out_md = gr.Markdown("*Insights used or other intermediate details will show here...*")
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with gr.TabItem("π§ Knowledge Base Management"):
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gr.Markdown("## Manage Stored Knowledge")
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with gr.Row(equal_height=False):
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with gr.Column(scale=1):
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with gr.Group():
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gr.Markdown("### π Rules (Learned Insights)")
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rules_disp_ta = gr.TextArea(label="View/Edit Rules", lines=15, interactive=True, placeholder="Load or type rules here (one per line or '---' separated for multiple).")
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with gr.Row():
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@@ -568,15 +497,14 @@ with gr.Blocks(theme=custom_theme, title="AI Research Mega Agent v5.4") as demo:
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save_faiss_ram_btn_kb = gr.Button("Save FAISS Indices", visible=(MEMORY_STORAGE_BACKEND == "RAM"))
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with gr.Column(scale=1):
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with gr.Group():
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gr.Markdown("### π Memories (Past Interactions)")
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mems_disp_json = gr.JSON(label="View Memories (JSON format)")
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with gr.Row(): view_mems_btn = gr.Button("π Load/Refresh Memories")
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upload_mems_fobj = gr.File(label="Upload Memories File (.jsonl)", file_types=[".jsonl"])
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mems_stat_tb = gr.Textbox(label="Memories Operation Status", interactive=False, lines=2, placeholder="Status...")
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clear_mems_btn = gr.Button("β οΈ Clear All Memories", variant="stop")
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# --- Event Handlers (remain the same as your last correct version) ---
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def dyn_upd_model_dd(sel_prov_dyn:str): models_dyn, def_model_dyn = get_model_display_names_for_provider(sel_prov_dyn), get_default_model_display_name_for_provider(sel_prov_dyn); return gr.Dropdown(choices=models_dyn, value=def_model_dyn, interactive=True)
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prov_sel_dd.change(fn=dyn_upd_model_dd, inputs=prov_sel_dd, outputs=model_sel_dd)
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chat_ins = [user_msg_tb, main_chat_disp, prov_sel_dd, model_sel_dd, api_key_tb, sys_prompt_tb]
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demo.load(fn=app_load_fn, inputs=None, outputs=[agent_stat_tb, rules_disp_ta, mems_disp_json])
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if __name__ == "__main__":
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logger.info(f"Starting Gradio AI Research Mega Agent (v5.
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app_port, app_server = int(os.getenv("GRADIO_PORT", 7860)), os.getenv("GRADIO_SERVER_NAME", "127.0.0.1")
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app_debug, app_share = os.getenv("GRADIO_DEBUG", "False").lower()=="true", os.getenv("GRADIO_SHARE", "False").lower()=="true"
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logger.info(f"Launching Gradio server: http://{app_server}:{app_port}. Debug: {app_debug}, Share: {app_share}")
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msg = f"Memories Upload: Processed {total_to_process}. Added: {added_count}, Format Errors: {format_error_count}, Save Errors: {save_error_count}."
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logger.info(msg); return msg
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# --- UI Definition ---
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custom_theme = gr.themes.Base(
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primary_hue="teal",
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secondary_hue="purple",
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neutral_hue="zinc",
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text_size="sm",
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spacing_size="md",
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radius_size="sm",
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font=[gr.themes.GoogleFont("Inter"), "System UI", "sans-serif"] # Added Inter as primary
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)
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custom_css = """
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body, html { margin: 0 !important; padding: 0 !important; height: 100%; background: linear-gradient(to bottom right, #2c3e50, #34495e); color: #ecf0f1; font-family: 'Inter', 'System UI', sans-serif;}
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.gradio-container { background: transparent !important; max-width: 100% !important; padding: 1em !important; box-sizing: border-box; min-height: 100vh; display: flex; flex-direction: column;}
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.gr-block.gr-group, .gr-tabs, .gr-accordion { background-color: rgba(44, 62, 80, 0.85) !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; border-radius: 8px !important; box-shadow: 0 3px 5px rgba(0,0,0,0.15); margin-bottom: 1em;}
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.gr-tabitem { background-color: rgba(52, 73, 94, 0.8) !important; border-radius: 6px !important; padding: 1em !important; border: 1px solid rgba(189, 195, 199, 0.1) !important;}
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.gr-textbox, .gr-dropdown, .gr-button, .gr-code, .gr-chat-message, .gr-json, .gr-file input[type="file"], .gr-file . OgniCn { border: 1px solid rgba(189, 195, 199, 0.3) !important; background-color: rgba(52, 73, 94, 0.9) !important; color: #ecf0f1 !important; border-radius: 6px !important;}
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.gr-file { background-color: transparent !important; border: none !important; padding:0 !important;} /* Make file upload cleaner */
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.gr-file > .label-text { color: #bdc3c7 !important;}
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.gr-textarea textarea, .gr-textbox input { color: #ecf0f1 !important; }
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.gr-button.gr-button-primary { background-color: #1abc9c !important; color: white !important; border-color: #16a085 !important; }
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.gr-button.gr-button-secondary { background-color: #9b59b6 !important; color: white !important; border-color: #8e44ad !important; }
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.gr-button.gr-button-stop { background-color: #e74c3c !important; color: white !important; border-color: #c0392b !important; }
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.gr-markdown { padding: 0px; }
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.gr-markdown h1, .gr-markdown h2, .gr-markdown h3 { color: #1abc9c !important; border-bottom: 1px solid rgba(189, 195, 199, 0.2) !important; padding-bottom: 0.3em; margin-top:0.8em; margin-bottom: 0.6em; }
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.gr-markdown p, .gr-markdown li { color: #ecf0f1 !important; line-height:1.6;}
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.gr-markdown pre code { background-color: rgba(30, 40, 50, 0.95) !important; border: 1px solid rgba(189, 195, 199, 0.3) !important; color: #ecf0f1; border-radius: 4px; padding: 0.8em; }
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.gr-chatbot { background-color: rgba(44, 62, 80, 0.7) !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; }
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.gr-chatbot .message { background-color: rgba(52, 73, 94, 0.9) !important; color: #ecf0f1 !important; border: 1px solid rgba(189, 195, 199, 0.2) !important; box-shadow: 0 1px 2px rgba(0,0,0,0.1) !important; }
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.gr-chatbot .message.user { background-color: rgba(46, 204, 113, 0.8) !important; color: #2c3e50 !important; }
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.gr-input-label > .label-text, .gr-dropdown-label > .label-text, .gr-checkbox-label > .label-text { color: #bdc3c7 !important; font-size: 0.9rem !important; margin-bottom: 0.2rem !important; }
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.gr-info { color: #bdc3c7 !important; font-size: 0.85rem !important; }
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.status-bar { background-color: rgba(44, 62, 80, 0.8) !important; padding: 0.5rem 1rem !important; border-radius: 6px; margin-bottom: 1rem; }
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.tabnav button { background-color: rgba(52, 73, 94, 0.8) !important; color: #ecf0f1 !important; border-bottom: 2px solid transparent !important; border-top-left-radius: 6px !important; border-top-right-radius: 6px !important; margin-right: 2px !important; padding: 0.5em 1em !important; }
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.tabnav button.selected { background-color: rgba(44, 62, 80, 0.95) !important; color: #1abc9c !important; border-bottom: 2px solid #1abc9c !important;}
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.main-title { text-align: center; margin-bottom: 0.5rem !important; }
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.main-subtitle { text-align: center; color: #bdc3c7; font-size: 0.95rem; margin-bottom: 1.5rem !important; }
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"""
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with gr.Blocks(theme=custom_theme, css=custom_css, title="AI Research Agent") as demo:
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gr.HTML("<style>" + custom_css + "</style>") # Ensure CSS is applied
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gr.Markdown("# π€ AI Research Agent", elem_classes="main-title")
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gr.Markdown("Configure AI, chat for research, and manage its knowledge base.", elem_classes="main-subtitle")
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avail_provs = get_available_providers()
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def_prov = avail_provs[0] if avail_provs else None
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with gr.Column(scale=2): gr.Textbox(label="SQLite Path", value=f"{MEMORY_SQLITE_PATH}", interactive=False)
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elif MEMORY_STORAGE_BACKEND == "HF_DATASET":
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with gr.Column(scale=2): gr.Textbox(label="HF Repos", value=f"M: {MEMORY_HF_MEM_REPO}, R: {MEMORY_HF_RULES_REPO}", interactive=False)
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with gr.Row(equal_height=False):
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with gr.Column(scale=1, min_width=360): # Sidebar for configuration
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gr.Markdown("## βοΈ Configuration")
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with gr.Group():
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gr.Markdown("### AI Model Settings")
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api_key_tb = gr.Textbox(label="AI Provider API Key (Optional Override)", type="password", placeholder="Paste key or use .env")
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prov_sel_dd = gr.Dropdown(label="AI Provider", choices=avail_provs, value=def_prov, interactive=True)
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model_sel_dd = gr.Dropdown(label="AI Model", choices=def_models, value=def_model_disp, interactive=True)
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with gr.Group():
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gr.Markdown("### System Prompt")
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sys_prompt_tb = gr.Textbox(label="System Prompt Base", lines=12, value=DEFAULT_SYSTEM_PROMPT, interactive=True)
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with gr.Column(scale=2): # Main content area with Tabs
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with gr.Tabs():
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with gr.TabItem("π¬ AI Chat & Research Output"):
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gr.Markdown("## π¬ AI Chat Interface")
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main_chat_disp = gr.Chatbot(label="AI Research Chat", height=500, bubble_full_width=False, avatar_images=(None, "https://raw.githubusercontent.com/huggingface/brand-assets/main/hf-logo-with-title.png"), show_copy_button=True, render_markdown=True, sanitize_html=True)
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with gr.Row():
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user_msg_tb = gr.Textbox(show_label=False, placeholder="Ask your research question or give an instruction...", scale=7, lines=1, max_lines=5, autofocus=True)
|
478 |
send_btn = gr.Button("Send", variant="primary", scale=1, min_width=100)
|
479 |
+
with gr.Accordion("π Full Response / Output Details", open=True): # Open by default
|
480 |
fmt_report_tb = gr.Textbox(label="Full AI Response", lines=10, interactive=True, show_copy_button=True, value="*AI responses will appear here...*")
|
481 |
+
dl_report_btn = gr.DownloadButton(value="Download Report", interactive=False, visible=False)
|
482 |
detect_out_md = gr.Markdown("*Insights used or other intermediate details will show here...*")
|
483 |
|
484 |
with gr.TabItem("π§ Knowledge Base Management"):
|
485 |
gr.Markdown("## Manage Stored Knowledge")
|
486 |
with gr.Row(equal_height=False):
|
487 |
with gr.Column(scale=1):
|
488 |
+
with gr.Group():
|
489 |
gr.Markdown("### π Rules (Learned Insights)")
|
490 |
rules_disp_ta = gr.TextArea(label="View/Edit Rules", lines=15, interactive=True, placeholder="Load or type rules here (one per line or '---' separated for multiple).")
|
491 |
with gr.Row():
|
|
|
497 |
save_faiss_ram_btn_kb = gr.Button("Save FAISS Indices", visible=(MEMORY_STORAGE_BACKEND == "RAM"))
|
498 |
|
499 |
with gr.Column(scale=1):
|
500 |
+
with gr.Group():
|
501 |
gr.Markdown("### π Memories (Past Interactions)")
|
502 |
+
mems_disp_json = gr.JSON(label="View Memories (JSON format)")
|
503 |
with gr.Row(): view_mems_btn = gr.Button("π Load/Refresh Memories")
|
504 |
upload_mems_fobj = gr.File(label="Upload Memories File (.jsonl)", file_types=[".jsonl"])
|
505 |
mems_stat_tb = gr.Textbox(label="Memories Operation Status", interactive=False, lines=2, placeholder="Status...")
|
506 |
clear_mems_btn = gr.Button("β οΈ Clear All Memories", variant="stop")
|
507 |
|
|
|
508 |
def dyn_upd_model_dd(sel_prov_dyn:str): models_dyn, def_model_dyn = get_model_display_names_for_provider(sel_prov_dyn), get_default_model_display_name_for_provider(sel_prov_dyn); return gr.Dropdown(choices=models_dyn, value=def_model_dyn, interactive=True)
|
509 |
prov_sel_dd.change(fn=dyn_upd_model_dd, inputs=prov_sel_dd, outputs=model_sel_dd)
|
510 |
chat_ins = [user_msg_tb, main_chat_disp, prov_sel_dd, model_sel_dd, api_key_tb, sys_prompt_tb]
|
|
|
550 |
|
551 |
demo.load(fn=app_load_fn, inputs=None, outputs=[agent_stat_tb, rules_disp_ta, mems_disp_json])
|
552 |
|
|
|
553 |
if __name__ == "__main__":
|
554 |
+
logger.info(f"Starting Gradio AI Research Mega Agent (v5.5 - UI Style Update, Memory: {MEMORY_STORAGE_BACKEND})...")
|
555 |
app_port, app_server = int(os.getenv("GRADIO_PORT", 7860)), os.getenv("GRADIO_SERVER_NAME", "127.0.0.1")
|
556 |
app_debug, app_share = os.getenv("GRADIO_DEBUG", "False").lower()=="true", os.getenv("GRADIO_SHARE", "False").lower()=="true"
|
557 |
logger.info(f"Launching Gradio server: http://{app_server}:{app_port}. Debug: {app_debug}, Share: {app_share}")
|