Update chat interface (#70)

* Update chat interface to fill height and width in Gradio blocks
* Implement asynchronous streaming for Gradio responses and enhance pipeline event handling
* Refactor tool event handling to provide user-friendly messages and add utility function for descriptive tool actions

src/app/api/tools/market_tool.py

@@ -1,4 +1,6 @@
 from agno.tools import Toolkit
+
+from app.agents.action_registry import friendly_action
 from app.api.tools.instructions import MARKET_TOOL_INSTRUCTIONS
 from app.api.wrapper_handler import WrapperHandler
 from app.api.core.markets import MarketWrapper, Price, ProductInfo
@@ -40,6 +42,7 @@ class MarketAPIsTool(MarketWrapper, Toolkit):
             ],
         )
 
+    @friendly_action("🔍 Recupero le informazioni sul prodotto richiesto...")
     def get_product(self, asset_id: str) -> ProductInfo:
         """
         Gets product information for a *single* asset from the *first available* provider.
@@ -56,6 +59,7 @@ class MarketAPIsTool(MarketWrapper, Toolkit):
         """
         return self.handler.try_call(lambda w: w.get_product(asset_id))
 
+    @friendly_action("📦 Recupero i dati su più asset...")
     def get_products(self, asset_ids: list[str]) -> list[ProductInfo]:
         """
         Gets product information for a *list* of assets from the *first available* provider.
@@ -72,6 +76,7 @@ class MarketAPIsTool(MarketWrapper, Toolkit):
         """
         return self.handler.try_call(lambda w: w.get_products(asset_ids))
 
+    @friendly_action("📊 Recupero i dati storici dei prezzi...")
     def get_historical_prices(self, asset_id: str, limit: int = 100) -> list[Price]:
         """
         Gets historical price data for a *single* asset from the *first available* provider.
@@ -89,6 +94,7 @@ class MarketAPIsTool(MarketWrapper, Toolkit):
         """
         return self.handler.try_call(lambda w: w.get_historical_prices(asset_id, limit))
 
+    @friendly_action("🧩 Aggrego le informazioni da più fonti...")
     def get_products_aggregated(self, asset_ids: list[str]) -> list[ProductInfo]:
         """
         Gets product information for multiple assets from *all available providers* and *aggregates* the results.
@@ -109,6 +115,7 @@ class MarketAPIsTool(MarketWrapper, Toolkit):
         all_products = self.handler.try_call_all(lambda w: w.get_products(asset_ids))
         return ProductInfo.aggregate(all_products)
 
+    @friendly_action("📈 Creo uno storico aggregato dei prezzi...")
     def get_historical_prices_aggregated(self, asset_id: str = "BTC", limit: int = 100) -> list[Price]:
         """
         Gets historical price data for a single asset from *all available providers* and *aggregates* the results.

src/app/api/tools/news_tool.py

@@ -1,4 +1,6 @@
 from agno.tools import Toolkit
+
+from app.agents.action_registry import friendly_action
 from app.api.tools.instructions import NEWS_TOOL_INSTRUCTIONS
 from app.api.wrapper_handler import WrapperHandler
 from app.api.core.news import NewsWrapper, Article
@@ -42,6 +44,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
             ],
         )
 
+    @friendly_action("📰 Cerco le notizie principali...")
     def get_top_headlines(self, limit: int = 100) -> list[Article]:
         """
         Retrieves top headlines from the *first available* news provider.
@@ -58,6 +61,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
         """
         return self.handler.try_call(lambda w: w.get_top_headlines(limit))
 
+    @friendly_action("🔎 Cerco notizie recenti sull'argomento...")
     def get_latest_news(self, query: str, limit: int = 100) -> list[Article]:
         """
         Searches for the latest news on a specific topic from the *first available* provider.
@@ -75,6 +79,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
         """
         return self.handler.try_call(lambda w: w.get_latest_news(query, limit))
 
+    @friendly_action("🗞️ Raccolgo le notizie principali da tutte le fonti...")
     def get_top_headlines_aggregated(self, limit: int = 100) -> dict[str, list[Article]]:
         """
         Retrieves top headlines from *all available providers* and aggregates the results.
@@ -94,6 +99,7 @@ class NewsAPIsTool(NewsWrapper, Toolkit):
         """
         return self.handler.try_call_all(lambda w: w.get_top_headlines(limit))
 
+    @friendly_action("📚 Raccolgo notizie specifiche da tutte le fonti...")
     def get_latest_news_aggregated(self, query: str, limit: int = 100) -> dict[str, list[Article]]:
         """
         Searches for news on a specific topic from *all available providers* and aggregates the results.

src/app/api/tools/plan_memory_tool.py

@@ -14,6 +14,7 @@ class PlanMemoryTool(Toolkit):
 
     def __init__(self):
         self.tasks: list[Task] = []
+
         Toolkit.__init__(self, # type: ignore[call-arg]
             name="Plan Memory Toolkit",
             instructions=PLAN_MEMORY_TOOL_INSTRUCTIONS,

src/app/api/tools/social_tool.py

@@ -1,4 +1,6 @@
 from agno.tools import Toolkit
+
+from app.agents.action_registry import friendly_action
 from app.api.tools.instructions import SOCIAL_TOOL_INSTRUCTIONS
 from app.api.wrapper_handler import WrapperHandler
 from app.api.core.social import SocialPost, SocialWrapper
@@ -41,6 +43,7 @@ class SocialAPIsTool(SocialWrapper, Toolkit):
             ],
         )
 
+    @friendly_action("📱 Cerco i post più popolari sui social...")
     def get_top_crypto_posts(self, limit: int = 5) -> list[SocialPost]:
         """
         Retrieves top cryptocurrency-related posts from the *first available* social media provider.
@@ -57,6 +60,7 @@ class SocialAPIsTool(SocialWrapper, Toolkit):
         """
         return self.handler.try_call(lambda w: w.get_top_crypto_posts(limit))
 
+    @friendly_action("🌐 Raccolgo i post da tutte le piattaforme social...")
     def get_top_crypto_posts_aggregated(self, limit_per_wrapper: int = 5) -> dict[str, list[SocialPost]]:
         """
         Retrieves top cryptocurrency-related posts from *all available providers* and aggregates the results.

src/app/api/tools/symbols_tool.py

@@ -22,6 +22,7 @@ class CryptoSymbolsTools(Toolkit):
     def __init__(self, cache_file: str = 'resources/cryptos.csv'):
         self.cache_file = cache_file
         self.final_table = pd.read_csv(self.cache_file) if os.path.exists(self.cache_file) else pd.DataFrame() # type: ignore
+
         Toolkit.__init__(self, # type: ignore
             name="Crypto Symbols Tool",
             instructions=SYMBOLS_TOOL_INSTRUCTIONS,