Spaces:
Running
Running
Update app.py
Browse files
app.py
CHANGED
@@ -1,16 +1,46 @@
|
|
1 |
-
import os
|
2 |
-
import langchain
|
3 |
-
import langchain_huggingface
|
4 |
-
from langchain_huggingface import HuggingFaceEndpoint,HuggingFacePipeline, ChatHuggingFace
|
5 |
-
from
|
6 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
7 |
|
|
|
|
|
8 |
os.environ["HF_TOKEN"]=os.getenv('Ayush')
|
9 |
os.environ["HUGGINGFACEHUB_API_KEY"]=os.getenv('Ayush')
|
10 |
|
11 |
-
|
12 |
-
|
13 |
-
|
14 |
-
|
15 |
-
|
16 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
1 |
+
# import os
|
2 |
+
# import langchain
|
3 |
+
# import langchain_huggingface
|
4 |
+
# from langchain_huggingface import HuggingFaceEndpoint,HuggingFacePipeline, ChatHuggingFace
|
5 |
+
# from langchain_core.messages import HumanMessage, SystemMessage, AIMessage
|
6 |
+
|
7 |
+
# os.environ["HF_TOKEN"]=os.getenv('Ayush')
|
8 |
+
# os.environ["HUGGINGFACEHUB_API_KEY"]=os.getenv('Ayush')
|
9 |
+
|
10 |
+
# llama_model = HuggingFaceEndpoint(repo_id= "meta-llama/Llama-3.2-3B-Instruct",provider= "nebius",temperature=0.6, max_new_tokens=70,task="conversational")
|
11 |
+
# model_d=ChatHuggingFace(llm =llama_model,repo_id= "meta-llama/Llama-3.2-3B-Instruct",provider= "nebius",temperature=0.6, max_new_tokens=70,task="conversational")
|
12 |
+
# message = [SystemMessage(content = "Answer like you are a hardcore pc gamer"),
|
13 |
+
# HumanMessage(content = "Give me name of top 10 pc games of all time with description")]
|
14 |
+
# result = model_d.invoke(message)
|
15 |
+
# print(result.content)
|
16 |
+
|
17 |
+
import streamlit as st
|
18 |
+
from langchain_community.chat_models import ChatHuggingFace
|
19 |
+
from langchain_community.llms import HuggingFaceHub
|
20 |
+
from langchain_core.messages import HumanMessage, SystemMessage
|
21 |
|
22 |
+
# Setup API key (replace with your key or use st.secrets)
|
23 |
+
import os
|
24 |
os.environ["HF_TOKEN"]=os.getenv('Ayush')
|
25 |
os.environ["HUGGINGFACEHUB_API_KEY"]=os.getenv('Ayush')
|
26 |
|
27 |
+
# Load model
|
28 |
+
llm = HuggingFaceHub(
|
29 |
+
repo_id="meta-llama/Llama-3.2-3B-Instruct",
|
30 |
+
model_kwargs={"temperature": 0.6, "max_new_tokens": 100}
|
31 |
+
)
|
32 |
+
chat_model = ChatHuggingFace(llm=llm)
|
33 |
+
|
34 |
+
# Streamlit UI
|
35 |
+
st.title("🧪 Simple LLaMA Chat Test")
|
36 |
+
|
37 |
+
question = st.text_input("Ask a gaming-related question:", "Give me name of top 10 PC games of all time with description")
|
38 |
+
|
39 |
+
if st.button("Ask"):
|
40 |
+
messages = [
|
41 |
+
SystemMessage(content="Answer like you are a hardcore PC gamer"),
|
42 |
+
HumanMessage(content=question)
|
43 |
+
]
|
44 |
+
response = chat_model.invoke(messages)
|
45 |
+
st.write("### Response:")
|
46 |
+
st.write(response.content)
|