Spaces:
Sleeping
Sleeping
Update app.py
Browse files
app.py
CHANGED
@@ -2,17 +2,45 @@ import streamlit as st
|
|
2 |
from langchain_openai import ChatOpenAI
|
3 |
from langchain_core.prompts import ChatPromptTemplate
|
4 |
import os
|
|
|
5 |
st.title("Translation Using OpenAI")
|
6 |
|
7 |
-
|
8 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
9 |
|
|
|
|
|
|
|
|
|
10 |
|
11 |
-
|
12 |
-
llm=ChatOpenAI(model="gpt-3.5-turbo",temperature=0,max_tokens=80)
|
13 |
-
prompt=ChatPromptTemplate.from_messages([("system","you are a good assistant for translator from {il} to {ol}"),
|
14 |
-
("human","{i}")])
|
15 |
-
chain=prompt|llm
|
16 |
-
re=chain.invoke({"il":"English","ol":o,"i":i})
|
17 |
if st.button("Submit"):
|
18 |
-
|
|
|
|
|
|
|
|
|
|
2 |
from langchain_openai import ChatOpenAI
|
3 |
from langchain_core.prompts import ChatPromptTemplate
|
4 |
import os
|
5 |
+
|
6 |
st.title("Translation Using OpenAI")
|
7 |
|
8 |
+
# Language options for the dropdown menus
|
9 |
+
languages = ["English", "Hindi", "Telugu", "Malayalam", "Tamil", "Punjabi"]
|
10 |
+
|
11 |
+
# Dropdown menu for selecting input language
|
12 |
+
input_language = st.selectbox("Select your input language", languages)
|
13 |
+
|
14 |
+
# Text area for input text
|
15 |
+
input_text = st.text_area(f"Write your text in {input_language}")
|
16 |
+
|
17 |
+
# Dropdown menu for selecting output language
|
18 |
+
output_language = st.selectbox("Select your output language", languages)
|
19 |
+
|
20 |
+
# Set the environment variable for the API key
|
21 |
+
os.environ['GOOGLE_API_KEY'] = os.getenv("geminiapi_key")
|
22 |
+
|
23 |
+
# Initialize the OpenAI language model
|
24 |
+
llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0, max_tokens=80)
|
25 |
+
|
26 |
+
# Create the prompt template
|
27 |
+
prompt = ChatPromptTemplate.from_messages([
|
28 |
+
("system", "You are a good assistant for translating from {il} to {ol}."),
|
29 |
+
("human", "{i}")
|
30 |
+
])
|
31 |
+
|
32 |
+
# Define the translation chain
|
33 |
+
chain = prompt | llm
|
34 |
|
35 |
+
# Function to perform the translation
|
36 |
+
def translate(input_text, input_language, output_language):
|
37 |
+
response = chain.invoke({"il": input_language, "ol": output_language, "i": input_text})
|
38 |
+
return response.content
|
39 |
|
40 |
+
# Submit button
|
|
|
|
|
|
|
|
|
|
|
41 |
if st.button("Submit"):
|
42 |
+
if input_text:
|
43 |
+
translation = translate(input_text, input_language, output_language)
|
44 |
+
st.write("Translated Text:", translation)
|
45 |
+
else:
|
46 |
+
st.write("Please enter text to translate.")
|