Final integration of Artificial Societies features and multi-tab UI

app.py

@@ -2,8 +2,12 @@ import sys
 import os
 import gradio as gr
 import json
+import random
 from tinytroupe.factory import TinyPersonFactory
-from api.main import app
+from tinytroupe.simulation_manager import SimulationConfig
+from tinytroupe.content_generation import ContentVariantGenerator
+from tinytroupe.agent_types import Content
+from api.main import app, simulation_manager
 import uvicorn
 
 # --- CHANGE 1: The function now accepts an optional API key. ---
@@ -40,28 +44,167 @@ def generate_personas(business_description, customer_profile, num_personas, blab
         else:
             os.environ["BLABLADOR_API_KEY"] = original_key
 
+def create_simulation_ui(name, persona_count, network_type):
+    try:
+        config = SimulationConfig(name=name, persona_count=int(persona_count), network_type=network_type)
+        sim = simulation_manager.create_simulation(config)
+        return {"status": "Simulation created", "id": sim.id, "persona_count": len(sim.personas)}
+    except Exception as e:
+        return {"error": str(e)}
+
+def run_simulation_ui(simulation_id, content_text):
+    try:
+        if simulation_id not in simulation_manager.simulations:
+            return {"error": "Simulation not found"}
+        result = simulation_manager.run_simulation(simulation_id, content_text)
+        return {
+            "simulation_id": simulation_id,
+            "total_reach": result.total_reach,
+            "engagements": result.engagements
+        }
+    except Exception as e:
+        return {"error": str(e)}
+
+def predict_engagement_ui(persona_name, content_text, simulation_id):
+    try:
+        if simulation_id not in simulation_manager.simulations:
+            return {"error": "Simulation not found"}
+        sim = simulation_manager.simulations[simulation_id]
+        persona = next((p for p in sim.personas if p.name == persona_name), None)
+        if not persona:
+            return {"error": "Persona not found"}
+        
+        content_obj = Content(text=content_text, content_type="post", topics=[], length=len(content_text), tone="")
+        prob = sim.world._simulate_engagement_decision(persona, content_obj, 0)
+        return {
+            "persona": persona_name,
+            "will_engage": prob.engaged,
+            "probability": prob.probability,
+            "comment": prob.comment
+        }
+    except Exception as e:
+        return {"error": str(e)}
+
+def generate_variants_ui(original_content, num_variants):
+    try:
+        variants = simulation_manager.variant_generator.generate_variants(original_content, int(num_variants))
+        return [v.__dict__ for v in variants]
+    except Exception as e:
+        return {"error": str(e)}
+
+def get_metrics_ui(simulation_id):
+    try:
+        if simulation_id not in simulation_manager.simulations:
+            return {"error": "Simulation not found"}
+        sim = simulation_manager.simulations[simulation_id]
+        from tinytroupe.network_analysis import NetworkAnalyzer
+        metrics = NetworkAnalyzer.calculate_centrality_metrics(sim.network)
+        influencers = NetworkAnalyzer.identify_key_influencers(sim.network)
+        return {
+            "density": NetworkAnalyzer.calculate_density(sim.network),
+            "key_influencers": influencers,
+            "centrality_metrics": metrics
+        }
+    except Exception as e:
+        return {"error": str(e)}
+
 
 with gr.Blocks() as demo:
-    gr.Markdown("<h1>Tiny Persona Generator</h1>")
-    with gr.Row():
-        with gr.Column():
-            business_description_input = gr.Textbox(label="What is your business about?", lines=5)
-            customer_profile_input = gr.Textbox(label="Information about your customer profile", lines=5)
-            num_personas_input = gr.Number(label="Number of personas to generate", value=1, minimum=1, step=1)
-            blablador_api_key_input = gr.Textbox(
-                label="Blablador API Key (for API client use)", 
-                visible=False
+    gr.Markdown("<h1>Tiny Factory & Artificial Societies</h1>")
+    
+    with gr.Tabs():
+        with gr.Tab("Persona Generation"):
+            with gr.Row():
+                with gr.Column():
+                    business_description_input = gr.Textbox(label="What is your business about?", lines=5)
+                    customer_profile_input = gr.Textbox(label="Information about your customer profile", lines=5)
+                    num_personas_gen_input = gr.Number(label="Number of personas to generate", value=1, minimum=1, step=1)
+                    blablador_api_key_input = gr.Textbox(label="Blablador API Key (for API client use)", visible=False)
+                    generate_personas_button = gr.Button("Generate Personas")
+                with gr.Column():
+                    gen_personas_output = gr.JSON(label="Generated Personas")
+            
+            generate_personas_button.click(
+                fn=generate_personas,
+                inputs=[business_description_input, customer_profile_input, num_personas_gen_input, blablador_api_key_input],
+                outputs=gen_personas_output,
+                api_name="generate_personas"
+            )
+
+        with gr.Tab("Social Simulation"):
+            with gr.Row():
+                with gr.Column():
+                    sim_name_input = gr.Textbox(label="Simulation Name", value="My Social Simulation")
+                    sim_persona_count = gr.Number(label="Number of Personas", value=10, minimum=1, step=1)
+                    sim_network_type = gr.Dropdown(label="Network Type", choices=["scale_free", "professional"], value="scale_free")
+                    create_sim_button = gr.Button("Create Simulation")
+                    
+                    sim_content_input = gr.Textbox(label="Content to Test", lines=3)
+                    sim_id_run_input = gr.Textbox(label="Simulation ID (to run)")
+                    run_sim_button = gr.Button("Run Content Spread Simulation")
+                with gr.Column():
+                    sim_output = gr.JSON(label="Simulation Status/Results")
+
+            create_sim_button.click(
+                fn=create_simulation_ui,
+                inputs=[sim_name_input, sim_persona_count, sim_network_type],
+                outputs=sim_output,
+                api_name="create_simulation"
+            )
+            run_sim_button.click(
+                fn=run_simulation_ui,
+                inputs=[sim_id_run_input, sim_content_input],
+                outputs=sim_output,
+                api_name="run_simulation"
+            )
+
+        with gr.Tab("Engagement Prediction"):
+            with gr.Row():
+                with gr.Column():
+                    pred_persona_name = gr.Textbox(label="Persona Name")
+                    pred_content = gr.Textbox(label="Content Text", lines=3)
+                    pred_sim_id = gr.Textbox(label="Simulation ID")
+                    predict_button = gr.Button("Predict Engagement")
+                with gr.Column():
+                    pred_output = gr.JSON(label="Prediction Result")
+            
+            predict_button.click(
+                fn=predict_engagement_ui,
+                inputs=[pred_persona_name, pred_content, pred_sim_id],
+                outputs=pred_output,
+                api_name="predict_engagement"
+            )
+
+        with gr.Tab("Content Engine"):
+            with gr.Row():
+                with gr.Column():
+                    cont_original = gr.Textbox(label="Original Content", lines=5)
+                    cont_num_variants = gr.Number(label="Number of Variants", value=5, minimum=1)
+                    generate_variants_button = gr.Button("Generate Variants")
+                with gr.Column():
+                    cont_output = gr.JSON(label="Content Variants")
+            
+            generate_variants_button.click(
+                fn=generate_variants_ui,
+                inputs=[cont_original, cont_num_variants],
+                outputs=cont_output,
+                api_name="generate_content_variants"
+            )
+
+        with gr.Tab("Network Analytics"):
+            with gr.Row():
+                with gr.Column():
+                    metrics_sim_id = gr.Textbox(label="Simulation ID")
+                    get_metrics_button = gr.Button("Get Network Metrics")
+                with gr.Column():
+                    metrics_output = gr.JSON(label="Network Analytics")
+            
+            get_metrics_button.click(
+                fn=get_metrics_ui,
+                inputs=[metrics_sim_id],
+                outputs=metrics_output,
+                api_name="get_network_metrics"
             )
-            generate_button = gr.Button("Generate Personas")
-        with gr.Column():
-            output_json = gr.JSON(label="Generated Personas")
-
-    generate_button.click(
-        fn=generate_personas,
-        inputs=[business_description_input, customer_profile_input, num_personas_input, blablador_api_key_input],
-        outputs=output_json,
-        api_name="generate_personas"
-    )
 
 # Mount Gradio app to FastAPI app imported from api.main
 app = gr.mount_gradio_app(app, demo, path="/")

local_app_2.log

@@ -0,0 +1,227 @@
+INFO:     Started server process [94828]
+INFO:     Waiting for application startup.
+INFO:     Application startup complete.
+INFO:     Uvicorn running on http://0.0.0.0:7860 (Press CTRL+C to quit)
+
+!!!!
+DISCLAIMER: TinyTroupe relies on Artificial Intelligence (AI) models to generate content. 
+The AI models are not perfect and may produce inappropriate or inacurate results. 
+For any serious or consequential use, please review the generated content before using it.
+!!!!
+
+Looking for default config on: /app/tinytroupe/utils/../config.ini
+Found custom config on: /app/config.ini
+TinyTroupe version: unknown
+Current date and time (local): 2026-02-15 14:18:59
+Current date and time (UTC):   2026-02-15 14:18:59
+
+=================================
+Current TinyTroupe configuration 
+=================================
+[OpenAI]
+api_type = helmholtz-blablador
+azure_api_version = 2023-05-15
+model = alias-large
+reasoning_model = alias-large
+embedding_model = text-embedding-3-small
+max_tokens = 32000
+temperature = 1.5
+freq_penalty = 0.1
+presence_penalty = 0.1
+timeout = 480
+max_attempts = 5
+waiting_time = 20
+exponential_backoff_factor = 5
+reasoning_effort = high
+cache_api_calls = False
+cache_file_name = openai_api_cache.pickle
+max_content_display_length = 4000
+top_p = 1.0
+
+[Simulation]
+parallel_agent_generation = True
+parallel_agent_actions = True
+rai_harmful_content_prevention = True
+rai_copyright_infringement_prevention = True
+
+[Cognition]
+enable_memory_consolidation = True
+min_episode_length = 15
+max_episode_length = 50
+episodic_memory_fixed_prefix_length = 10
+episodic_memory_lookback_length = 20
+
+[ActionGenerator]
+max_attempts = 2
+enable_quality_checks = False
+enable_regeneration = True
+enable_direct_correction = False
+enable_quality_check_for_persona_adherence = True
+enable_quality_check_for_selfconsistency = False
+enable_quality_check_for_fluency = False
+enable_quality_check_for_suitability = False
+enable_quality_check_for_similarity = False
+continue_on_failure = True
+quality_threshold = 5
+
+[Logging]
+loglevel = ERROR
+
+INFO:     127.0.0.1:53896 - "GET /health HTTP/1.1" 200 OK
+INFO:     127.0.0.1:34934 - "GET / HTTP/1.1" 200 OK
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+INFO:     127.0.0.1:56128 - "GET /assets/Button-BIUaXfcG.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56118 - "GET /assets/Blocks-yLdzXwzS.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56104 - "GET /assets/Index.svelte_svelte_type_style_lang-OwOFPfLe.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56140 - "GET /assets/Example-FbnSQP03.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56110 - "GET /assets/Check-CZUQOzJl.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/Example.svelte_svelte_type_style_lang-DXGdiQV3.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56118 - "GET /assets/Index-BK-zC9ir.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56128 - "GET /assets/Copy-B6RcHnoK.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56140 - "GET /assets/Tabs-DX5TEub2.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56118 - "GET /assets/Index-thdqX2vf.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56104 - "GET /assets/Index-Xv8ZQETB.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56128 - "GET /assets/Index-C43SQM_O.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56110 - "GET /assets/Index-CptIZeFZ.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/Textbox-D8IAzrZj.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/Index-BAQumg2K.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56110 - "GET /assets/Example-D7K5RtQ2.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56118 - "GET /assets/Index-B0JJ6p9c.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56104 - "GET /assets/Example-Cj3ii62O.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56128 - "GET /assets/Index-CkUqDkVC.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56140 - "GET /assets/Index-BUublr_b.css HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/prism-python-BTLCWl-V.js HTTP/1.1" 200 OK
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+INFO:     127.0.0.1:56118 - "GET /assets/Index-BfLZDIPR.js HTTP/1.1" 200 OK
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+INFO:     127.0.0.1:56128 - "GET /assets/Index-BA3fpEJb.js HTTP/1.1" 200 OK
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+INFO:     127.0.0.1:56110 - "GET /assets/BlockTitle-CXNngU7y.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/Index-Tmzj9QOr.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56140 - "GET /assets/Example-C7XUkkid.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56128 - "GET /assets/Info-CrBVEpWV.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56118 - "GET /assets/Index-CSD8SlVL.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56104 - "GET /assets/Index--WpWguRY.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/Index-DDCF2BFd.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56140 - "GET /assets/Index-j4wxG1wD.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56110 - "GET /assets/Index-DRonTktv.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56128 - "GET /assets/Empty-BgF7sXBn.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56118 - "GET /assets/BlockLabel-BlSr62f_.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56140 - "GET /assets/DropdownArrow-B_jYsAai.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56110 - "GET /assets/Example-CUwox43B.js HTTP/1.1" 200 OK
+INFO:     127.0.0.1:56100 - "GET /assets/Index-Vm7MXWuW.js HTTP/1.1" 200 OK
+INFO:     Shutting down
+INFO:     Waiting for application shutdown.
+INFO:     Application shutdown complete.
+INFO:     Finished server process [94828]