Update app.py
Browse files
app.py
CHANGED
|
@@ -3,6 +3,12 @@ import gradio as gr
|
|
| 3 |
import requests
|
| 4 |
import inspect
|
| 5 |
import pandas as pd
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
|
| 7 |
# (Keep Constants as is)
|
| 8 |
# --- Constants ---
|
|
@@ -40,7 +46,23 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
|
|
| 40 |
|
| 41 |
# 1. Instantiate Agent ( modify this part to create your agent)
|
| 42 |
try:
|
| 43 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 44 |
except Exception as e:
|
| 45 |
print(f"Error instantiating agent: {e}")
|
| 46 |
return f"Error initializing agent: {e}", None
|
|
@@ -80,7 +102,7 @@ def run_and_submit_all( profile: gr.OAuthProfile | None):
|
|
| 80 |
print(f"Skipping item with missing task_id or question: {item}")
|
| 81 |
continue
|
| 82 |
try:
|
| 83 |
-
submitted_answer = agent(question_text)
|
| 84 |
answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
|
| 85 |
results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
|
| 86 |
except Exception as e:
|
|
|
|
| 3 |
import requests
|
| 4 |
import inspect
|
| 5 |
import pandas as pd
|
| 6 |
+
from langchain_community.chat_models import ChatOllama
|
| 7 |
+
from langchain_community.tools import DuckDuckGoSearchRun
|
| 8 |
+
from langchain.agents import Tool, AgentExecutor, initialize_agent
|
| 9 |
+
from langchain.agents.agent_types import AgentType
|
| 10 |
+
from langchain.prompts.chat import SystemMessagePromptTemplate, ChatPromptTemplate, HumanMessagePromptTemplate
|
| 11 |
+
|
| 12 |
|
| 13 |
# (Keep Constants as is)
|
| 14 |
# --- Constants ---
|
|
|
|
| 46 |
|
| 47 |
# 1. Instantiate Agent ( modify this part to create your agent)
|
| 48 |
try:
|
| 49 |
+
llm = ChatOllama(model="llama3.1")
|
| 50 |
+
|
| 51 |
+
search = DuckDuckGoSearchRun()
|
| 52 |
+
tools = [
|
| 53 |
+
Tool(
|
| 54 |
+
name="DuckDuckGo Search",
|
| 55 |
+
func=search.run,
|
| 56 |
+
description="Useful for answering questions about current events or the web."
|
| 57 |
+
)
|
| 58 |
+
]
|
| 59 |
+
agent = initialize_agent(
|
| 60 |
+
tools,
|
| 61 |
+
llm,
|
| 62 |
+
agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION,
|
| 63 |
+
verbose=True,
|
| 64 |
+
handle_parsing_errors=True
|
| 65 |
+
)
|
| 66 |
except Exception as e:
|
| 67 |
print(f"Error instantiating agent: {e}")
|
| 68 |
return f"Error initializing agent: {e}", None
|
|
|
|
| 102 |
print(f"Skipping item with missing task_id or question: {item}")
|
| 103 |
continue
|
| 104 |
try:
|
| 105 |
+
submitted_answer = agent.run(question_text)
|
| 106 |
answers_payload.append({"task_id": task_id, "submitted_answer": submitted_answer})
|
| 107 |
results_log.append({"Task ID": task_id, "Question": question_text, "Submitted Answer": submitted_answer})
|
| 108 |
except Exception as e:
|