Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -4,19 +4,17 @@ from langchain_community.tools import DuckDuckGoSearchRun
|
|
4 |
from langchain_google_genai import ChatGoogleGenerativeAI
|
5 |
import os
|
6 |
import google.generativeai as genai
|
7 |
-
from langchain.tools import BaseTool
|
8 |
|
9 |
|
10 |
-
# Configure Gemini API Key
|
11 |
-
# Use Streamlit secrets for secure storage.
|
12 |
GOOGLE_API_KEY = st.secrets["GOOGLE_API_KEY"]
|
13 |
genai.configure(api_key=GOOGLE_API_KEY)
|
14 |
|
15 |
|
16 |
-
# Define Tools
|
17 |
search_tool = DuckDuckGoSearchRun()
|
18 |
|
19 |
-
|
20 |
class ToolWrapper(BaseTool):
|
21 |
"""Wrapper for tools to make them compatible with CrewAI."""
|
22 |
|
@@ -31,7 +29,7 @@ class ToolWrapper(BaseTool):
|
|
31 |
return await self.func(*args, **kwargs)
|
32 |
|
33 |
|
34 |
-
# Define Agents -
|
35 |
inventory_specialist = Agent(
|
36 |
role="Inventory Specialist",
|
37 |
goal="Identify the best matching homes from current inventory based on customer criteria.",
|
@@ -48,10 +46,10 @@ inventory_specialist = Agent(
|
|
48 |
func=search_tool.run,
|
49 |
description=search_tool.description,
|
50 |
)
|
51 |
-
],
|
52 |
llm=ChatGoogleGenerativeAI(
|
53 |
-
model="gemini-pro", temperature=0.7, convert_system_message_to_human=True
|
54 |
-
), #
|
55 |
)
|
56 |
|
57 |
communication_specialist = Agent(
|
@@ -63,14 +61,14 @@ communication_specialist = Agent(
|
|
63 |
You use persuasive language and a friendly tone to create a positive customer experience. You are a world-class copywriter.
|
64 |
""",
|
65 |
verbose=True,
|
66 |
-
allow_delegation=True,
|
67 |
llm=ChatGoogleGenerativeAI(
|
68 |
-
model="gemini-pro", temperature=0.7, convert_system_message_to_human=True
|
69 |
-
), #
|
70 |
)
|
71 |
|
72 |
|
73 |
-
# Define Tasks
|
74 |
def create_inventory_task(customer_request):
|
75 |
return Task(
|
76 |
description=f"""Analyze the customer's request: '{customer_request}'.
|
@@ -80,7 +78,7 @@ def create_inventory_task(customer_request):
|
|
80 |
Do NOT make up any information. If you don't find enough information, say so, but still provide the best possible matches based on what you *can* find.
|
81 |
""",
|
82 |
agent=inventory_specialist,
|
83 |
-
expected_output="A list of 3-5 homes with their features and prices, or a message indicating no matches found.",
|
84 |
)
|
85 |
|
86 |
|
@@ -99,7 +97,7 @@ def create_communication_task(inventory_results):
|
|
99 |
- Include a signature with contact information (e.g., name, title, phone number, email address). Use placeholder information for the signature (like "John Doe, Real Estate Agent, (555) 123-4567, [email protected]").
|
100 |
""",
|
101 |
agent=communication_specialist,
|
102 |
-
expected_output="A complete, formatted email ready to be sent to the customer.",
|
103 |
)
|
104 |
|
105 |
|
@@ -128,14 +126,14 @@ if st.button("Submit Inquiry"):
|
|
128 |
inventory_task = create_inventory_task(customer_request)
|
129 |
communication_task = create_communication_task(
|
130 |
inventory_task.output
|
131 |
-
)
|
132 |
|
133 |
# Create Crew
|
134 |
real_estate_crew = Crew(
|
135 |
agents=[inventory_specialist, communication_specialist],
|
136 |
tasks=[inventory_task, communication_task],
|
137 |
-
process=Process.sequential,
|
138 |
-
verbose=
|
139 |
)
|
140 |
|
141 |
# Run the Crew
|
@@ -143,7 +141,7 @@ if st.button("Submit Inquiry"):
|
|
143 |
results = real_estate_crew.kickoff()
|
144 |
st.success("Response generated!")
|
145 |
st.write("**Draft Email Response:**")
|
146 |
-
st.write(results)
|
147 |
st.balloons()
|
148 |
except Exception as e:
|
149 |
st.error(f"An error occurred: {e}")
|
|
|
4 |
from langchain_google_genai import ChatGoogleGenerativeAI
|
5 |
import os
|
6 |
import google.generativeai as genai
|
7 |
+
from langchain.tools import BaseTool
|
8 |
|
9 |
|
10 |
+
# Configure Gemini API Key
|
|
|
11 |
GOOGLE_API_KEY = st.secrets["GOOGLE_API_KEY"]
|
12 |
genai.configure(api_key=GOOGLE_API_KEY)
|
13 |
|
14 |
|
15 |
+
# Define Tools
|
16 |
search_tool = DuckDuckGoSearchRun()
|
17 |
|
|
|
18 |
class ToolWrapper(BaseTool):
|
19 |
"""Wrapper for tools to make them compatible with CrewAI."""
|
20 |
|
|
|
29 |
return await self.func(*args, **kwargs)
|
30 |
|
31 |
|
32 |
+
# Define Agents - Specify the 'provider' in ChatGoogleGenerativeAI
|
33 |
inventory_specialist = Agent(
|
34 |
role="Inventory Specialist",
|
35 |
goal="Identify the best matching homes from current inventory based on customer criteria.",
|
|
|
46 |
func=search_tool.run,
|
47 |
description=search_tool.description,
|
48 |
)
|
49 |
+
],
|
50 |
llm=ChatGoogleGenerativeAI(
|
51 |
+
model="gemini-pro", temperature=0.7, convert_system_message_to_human=True, client=genai
|
52 |
+
), # Corrected: Pass genai client
|
53 |
)
|
54 |
|
55 |
communication_specialist = Agent(
|
|
|
61 |
You use persuasive language and a friendly tone to create a positive customer experience. You are a world-class copywriter.
|
62 |
""",
|
63 |
verbose=True,
|
64 |
+
allow_delegation=True,
|
65 |
llm=ChatGoogleGenerativeAI(
|
66 |
+
model="gemini-pro", temperature=0.7, convert_system_message_to_human=True, client=genai
|
67 |
+
), # Corrected: Pass genai client
|
68 |
)
|
69 |
|
70 |
|
71 |
+
# Define Tasks
|
72 |
def create_inventory_task(customer_request):
|
73 |
return Task(
|
74 |
description=f"""Analyze the customer's request: '{customer_request}'.
|
|
|
78 |
Do NOT make up any information. If you don't find enough information, say so, but still provide the best possible matches based on what you *can* find.
|
79 |
""",
|
80 |
agent=inventory_specialist,
|
81 |
+
expected_output="A list of 3-5 homes with their features and prices, or a message indicating no matches found.",
|
82 |
)
|
83 |
|
84 |
|
|
|
97 |
- Include a signature with contact information (e.g., name, title, phone number, email address). Use placeholder information for the signature (like "John Doe, Real Estate Agent, (555) 123-4567, [email protected]").
|
98 |
""",
|
99 |
agent=communication_specialist,
|
100 |
+
expected_output="A complete, formatted email ready to be sent to the customer.",
|
101 |
)
|
102 |
|
103 |
|
|
|
126 |
inventory_task = create_inventory_task(customer_request)
|
127 |
communication_task = create_communication_task(
|
128 |
inventory_task.output
|
129 |
+
)
|
130 |
|
131 |
# Create Crew
|
132 |
real_estate_crew = Crew(
|
133 |
agents=[inventory_specialist, communication_specialist],
|
134 |
tasks=[inventory_task, communication_task],
|
135 |
+
process=Process.sequential,
|
136 |
+
verbose=2,
|
137 |
)
|
138 |
|
139 |
# Run the Crew
|
|
|
141 |
results = real_estate_crew.kickoff()
|
142 |
st.success("Response generated!")
|
143 |
st.write("**Draft Email Response:**")
|
144 |
+
st.write(results)
|
145 |
st.balloons()
|
146 |
except Exception as e:
|
147 |
st.error(f"An error occurred: {e}")
|