Add brochure code.

app.py

@@ -39,6 +39,8 @@ TOOLS = {
 }
 
 def make_brochure(company_name: str, company_web_site: str) -> str:
+    print(f'processing request for {company_name} at {company_web_site}')
+
     system = """
     You are an assistant that can crate company brochure from company's web site.
     You can do this in a few steps:
@@ -57,11 +59,18 @@ def make_brochure(company_name: str, company_web_site: str) -> str:
         ('user', user)
     ])
     prompt = prompt_template.invoke({'company_name': company_name, 'company_web_site': company_web_site})
-    return model_with_tools.invoke(prompt.to_messages(), max_depth=20).content
+    brochure = model_with_tools.invoke(prompt.to_messages(), max_depth=20).content
+    print(f'processed request for {company_name} at {company_web_site}')
+    print(f'brochure is: \n')
+    print(brochure)
+    return brochure
 
 load_dotenv()
 model = ChatAnthropic(model="claude-3-5-haiku-20241022", temperature=0)
 model_with_tools = RunnableWithTools(bound=model.bind_tools([get_web_page]), tools=TOOLS)
 
-demo = gr.Interface(fn=make_brochure, inputs=["text", "text"], outputs="markdown", flagging_mode="never")
-demo.launch()
+app = gr.Interface(fn=make_brochure,
+                    inputs=[gr.Textbox(label='Company name'), gr.Textbox(label='Company web site')],
+                    outputs=gr.Markdown(label='Company brochure', value='# Company brochure', show_label=True, container=True),
+                    flagging_mode="never")
+app.launch()

runnable_with_tools.py

@@ -40,11 +40,7 @@ class RunnableWithTools(RunnableSerializable[Input, Output]):
                     selected_tool = self.tools[tool_call["name"].lower()]
                     if selected_tool:
                         tool_msg = selected_tool.invoke(tool_call)
-                        if isinstance(tool_msg, BaseModel):
-                            tool_msg = tool_msg.model_dump()
-                        else:
-                            tool_msg = str(tool_msg)
-                        text += '\n' + tool_msg
+                        text += '\n' + str(tool_msg)
                     input.append(ToolMessage(tool_call_id=tool_call['id'], content=text))
                 depth += 1
             else: