EveningWatch Agent, initial commit

Gradio_UI.py

@@ -264,11 +264,17 @@ class GradioUI:
         with gr.Blocks(fill_height=True) as demo:
             stored_messages = gr.State([])
             file_uploads_log = gr.State([])
+            gr.Markdown(
+                """
+                # EveningWatch Agent
+                Hello, friend! I can help you find movie or series to watch in the evening. Just use examples or make your own request!
+                """
+            )
             chatbot = gr.Chatbot(
                 label="Agent",
                 type="messages",
                 avatar_images=(
-                    None,
+                    "https://huggingface.co/avatars/12374769a98026bc588d4ee6540083c3.svg",
                     "https://huggingface.co/datasets/agents-course/course-images/resolve/main/en/communication/Alfred.png",
                 ),
                 resizeable=True,
@@ -283,6 +289,7 @@ class GradioUI:
                     [upload_file, file_uploads_log],
                     [upload_status, file_uploads_log],
                 )
+
             text_input = gr.Textbox(lines=1, label="Chat Message")
             text_input.submit(
                 self.log_user_message,
@@ -290,7 +297,14 @@ class GradioUI:
                 [stored_messages, text_input],
             ).then(self.interact_with_agent, [stored_messages, chatbot], [chatbot])
 
-        demo.launch(debug=True, share=True, **kwargs)
+            submit_btn = gr.Button(value="Submit")
+            txt_msg = submit_btn.click(
+                self.log_user_message,
+                [text_input, file_uploads_log],
+                [stored_messages, text_input],
+            ).then(self.interact_with_agent, [stored_messages, chatbot], [chatbot])
+            examples = gr.Examples(examples=[['Recommend me any good movie'], ['Suggest some famous new movie with Rebecca Ferguson'],['Want a long interesting series of premiered not late than 10 years ago']], inputs=text_input)
 
+        demo.launch(debug=True, share=True, **kwargs)
 
-__all__ = ["stream_to_gradio", "GradioUI"]
+__all__ = ["stream_to_gradio", "GradioUI"]

app.py

@@ -1,22 +1,26 @@
-from smolagents import CodeAgent,DuckDuckGoSearchTool, HfApiModel,load_tool,tool
+from smolagents import CodeAgent, HfApiModel,load_tool,tool
+import os
 import datetime
 import requests
 import pytz
 import yaml
 from tools.final_answer import FinalAnswerTool
+from tools.visit_webpage import VisitWebpageTool
+from tools.web_search import DuckDuckGoSearchTool
 
 from Gradio_UI import GradioUI
 
 # Below is an example of a tool that does nothing. Amaze us with your creativity !
 @tool
-def my_cutom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
+def my_custom_tool(arg1:str, arg2:int)-> str: #it's import to specify the return type
     #Keep this format for the description / args / args description but feel free to modify the tool
     """A tool that does nothing yet 
     Args:
         arg1: the first argument
         arg2: the second argument
     """
-    return "What magic will you build ?"
+
+    return "Str"
 
 @tool
 def get_current_time_in_timezone(timezone: str) -> str:
@@ -33,8 +37,10 @@ def get_current_time_in_timezone(timezone: str) -> str:
     except Exception as e:
         return f"Error fetching time for timezone '{timezone}': {str(e)}"
 
-
+web_search = DuckDuckGoSearchTool()
+visit_webpage = VisitWebpageTool()
 final_answer = FinalAnswerTool()
+
 model = HfApiModel(
 max_tokens=2096,
 temperature=0.5,
@@ -51,7 +57,7 @@ with open("prompts.yaml", 'r') as stream:
     
 agent = CodeAgent(
     model=model,
-    tools=[final_answer], ## add your tools here (don't remove final answer)
+    tools=[web_search, visit_webpage, final_answer], ## add your tools here (don't remove final answer)
     max_steps=6,
     verbosity_level=1,
     grammar=None,
@@ -61,5 +67,4 @@ agent = CodeAgent(
     prompt_templates=prompt_templates
 )
 
-
-GradioUI(agent).launch()
+GradioUI(agent).launch()

prompts.yaml

@@ -9,6 +9,9 @@
   These print outputs will then appear in the 'Observation:' field, which will be available as input for the next step.
   In the end you have to return a final answer using the `final_answer` tool.
 
+  If user requests mentions any movie or series you must provide small description of this movie and series from the internet. 
+  In the final answer append one or two sentences friendly saying why user should watch this movie. 
+
   Here are a few examples using notional tools:
   ---
   Task: "Generate an image of the oldest person in this document."