Update app.py
Browse files
app.py
CHANGED
@@ -5,7 +5,12 @@ import inspect
|
|
5 |
import pandas as pd
|
6 |
|
7 |
|
8 |
-
from smolagents import CodeAgent, WebSearchTool
|
|
|
|
|
|
|
|
|
|
|
9 |
|
10 |
# (Keep Constants as is)
|
11 |
# --- Constants ---
|
@@ -20,7 +25,10 @@ class BasicAgent:
|
|
20 |
print(f"Agent received question (first 50 chars): {question[:50]}...")
|
21 |
fixed_answer = "This is a default answer."
|
22 |
|
23 |
-
model = InferenceClientModel()
|
|
|
|
|
|
|
24 |
agent = CodeAgent(tools=[WebSearchTool()], model=model, stream_outputs=True)
|
25 |
custom_answer = agent.run("How many seconds would it take for a leopard at full speed to run through Pont des Arts?")
|
26 |
|
|
|
5 |
import pandas as pd
|
6 |
|
7 |
|
8 |
+
from smolagents import CodeAgent, WebSearchTool#, InferenceClientModel
|
9 |
+
|
10 |
+
# Load model directly
|
11 |
+
from transformers import AutoTokenizer, AutoModelForCausalLM
|
12 |
+
|
13 |
+
|
14 |
|
15 |
# (Keep Constants as is)
|
16 |
# --- Constants ---
|
|
|
25 |
print(f"Agent received question (first 50 chars): {question[:50]}...")
|
26 |
fixed_answer = "This is a default answer."
|
27 |
|
28 |
+
#model = InferenceClientModel()
|
29 |
+
tokenizer = AutoTokenizer.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct")
|
30 |
+
model = AutoModelForCausalLM.from_pretrained("Qwen/Qwen2.5-Coder-32B-Instruct")
|
31 |
+
|
32 |
agent = CodeAgent(tools=[WebSearchTool()], model=model, stream_outputs=True)
|
33 |
custom_answer = agent.run("How many seconds would it take for a leopard at full speed to run through Pont des Arts?")
|
34 |
|