Update app.py

app.py

@@ -6,6 +6,79 @@ from chart_generation import *
 from charts_advanced import *
 
 
+
+
+# Categories
+categories = [
+{
+  "topic": "Confidentiality and Privacy Protection",
+  "description": "This topic covers the protection of confidentiality, privacy, and integrity in security systems. It also includes authentication and authorization processes.",
+  "experts": ["Mireille"]
+},
+{
+  "topic": "Distributed Trust and End-User Trust Models",
+  "description": "This topic focuses on distributed trust models and how end-users establish trust in secure systems.",
+  "experts": ["Mireille", "Khawla"]
+},
+{
+  "topic": "Secure Element and Key Provisioning",
+  "description": "This topic involves the secure element in systems and the process of key provisioning.",
+  "experts": ["Mireille"]
+},
+{
+  "topic": "Residential Gateway Security",
+  "description": "This topic covers the security aspects of Residential Gateways.",
+  "experts": ["Mireille"]
+},
+{
+  "topic": "Standalone Non-Public Network (SNPN) Inter-Connection and Cybersecurity",
+  "description": "This topic focuses on the inter-connection of Standalone Non-Public Networks and related cyber-security topics.",
+  "experts": ["Khawla"]
+},
+{
+  "topic": "Distributed Ledger and Blockchain in SNPN",
+  "description": "This topic covers the use of distributed ledger technology and blockchain in securing Standalone Non-Public Networks.",
+  "experts": ["Khawla"]
+},
+{
+  "topic": "Distributed Networks and Communication",
+  "description": "This topic involves distributed networks such as mesh networks, ad-hoc networks, and multi-hop networks, and their cyber-security aspects.",
+  "experts": ["Guillaume"]
+},
+{
+  "topic": "Swarm of Drones and Unmanned Aerial Vehicles Network Infrastructure",
+  "description": "This topic covers the network infrastructure deployed by Swarm of Drones and Unmanned Aerial Vehicles.",
+  "experts": ["Guillaume"]
+},
+{
+  "topic": "USIM and Over-the-Air Services",
+  "description": "This topic involves USIM and related over-the-air services such as Steering of Roaming, roaming services, network selection, and UE configuration.",
+  "experts": ["Vincent"]
+},
+{
+  "topic": "Eco-Design and Societal Impact of Technology",
+  "description": "This topic covers eco-design concepts, including energy saving, energy efficiency, carbon emissions, and the societal impact of technology.",
+  "experts": ["Pierre"]
+},
+{
+  "topic": "Service Requirements of New Services",
+  "description": "This topic involves defining service requirements for new services, detecting low signals of new trends and technologies, and assessing their impact on USIM services or over-the-air services.",
+  "experts": ["Ly-Thanh"]
+},
+{
+  "topic": "Satellite and Non Terrestrial Networks",
+  "description": "This topic covers satellite networks, Non Terrestrial Networks, Private Networks, IoT, Inter Satellite communication, and Radio Access Network.",
+  "experts": ["Nicolas"]
+},
+{
+  "topic": "Public Safety and Emergency Communication",
+  "description": "This topic involves Public Safety Communication, Military Communication, Emergency Calls, Emergency Services, Disaster Communication Access, and other related areas.",
+  "experts": ["Dorin"]
+}
+]
+
+df_cate = pd.DataFrame(categories)
+
 # def update_label(label1):
 #     return gr.update(choices=list(df.columns))
 
@@ -24,6 +97,11 @@ with gr.Blocks() as demo:
         dd_source_ask = gr.Dropdown(label="Source Column(s)", multiselect=True)
         tb_destcol = gr.Textbox(label="Destination column label (e.g. Summary, ELI5, PAB)")
         tb_prompt = gr.Textbox(label="Prompt")
+        with gr.Accordion("Filters", open=False):
+            with gr.Row():
+                dd_searchcol = gr.Dropdown(label="Column to look into (Optional)", multiselect=False, scale=4)
+                dd_keywords =  gr.Dropdown(label="Words to look for (Optional)", multiselect=True, allow_custom_value=True, scale=5)
+                sl_client = gr.Slider(label="Mistral API", maximum=1, step=1, interactive=True, scale=1)
         tb_filename = gr.Textbox(label="Specific File Name (Optional)")
         mist_button = gr.Button("Ask AI")
             
@@ -61,11 +139,11 @@ with gr.Blocks() as demo:
 
     btn_search.click(browse_folder, inputs=dd_url, outputs=dd_url)
     dd_url.change(browse_folder, inputs=dd_url, outputs=dd_url)
-    fi_excel.change(get_columns, inputs=[fi_excel], outputs=[dd_source_ask, dd_source_class, dd_label1, dd_label2, df_output])
+    fi_excel.change(get_columns, inputs=[fi_excel], outputs=[dd_source_ask, dd_source_class, dd_label1, dd_label2, dd_searchcol, df_output])
     
     btn_extract.click(extractionPrincipale, inputs=[dd_url, fi_excel], outputs=[fi_excel, tb_message])
     
-    mist_button.click(chat_with_mistral, inputs=[dd_source_ask, tb_destcol, tb_prompt, tb_filename, fi_excel], outputs=[fi_excel, df_output])
+    mist_button.click(chat_with_mistral, inputs=[dd_source_ask, tb_destcol, tb_prompt, fi_excel, tb_url, dd_searchcol, dd_keywords, sl_client], outputs=[fi_excel, df_output])
     
     btn_classif.click(classification, inputs=[dd_source_class, fi_excel, df_category], outputs=[fi_excel, df_output])