Create app.py

app.py

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+import streamlit as st
+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import ChatPromptTemplate
+import os 
+
+os.environ["OPENAI_API_KEY"] = os.getenv("k1")
+
+st.title("Language Processing Application :robot_face:")
+
+# Sidebar for task selection
+task = st.sidebar.selectbox("Choose a task:", ["Translation", "Summarization"])
+
+# Tabs for multiple pages
+tab1, tab2 = st.tabs(["Page 1", "Page 2"])
+
+with tab1:
+    if task == "Translation":
+        st.header("Translation Task")
+        options1 = ["English", "Telugu", "Hindi", "French", "German", "Russian", "Spanish"]
+        input_language = st.selectbox("Input Language: ", options1)
+
+        options2 = ["Hindi", "Telugu", "Spanish", "English", "German", "Russian", "French"]
+        output_language = st.selectbox("Output Language: ", options2)
+
+        text = st.text_input("Text Input: ")
+
+        if st.button("Submit Translation"):
+            llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
+
+            prompt = ChatPromptTemplate.from_messages([("system", "you are a good assistant for translation from {il} to {ol}"),
+                                                       ("human", "{i}")])
+
+            chain = prompt | llm
+
+            response = chain.invoke({"il": input_language, "ol": output_language, "i": text})
+
+            st.write("Response: ")
+            st.write(response.content)
+
+    elif task == "Summarization":
+        st.header("Summarization Task")
+        text = st.text_area("Text Input for Summarization: ")
+
+        if st.button("Submit Summarization"):
+            llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
+
+            prompt = ChatPromptTemplate.from_messages([("system", "you are a good assistant for summarization"),
+                                                       ("human", "Summarize the following text: {i}")])
+
+            chain = prompt | llm
+
+            response = chain.invoke({"i": text})
+
+            st.write("Response: ")
+            st.write(response.content)
+
+with tab2:
+    if task == "Translation":
+        st.header("Translation Task")
+        # Repeat the same structure for additional pages if needed
+        options1 = ["English", "Telugu", "Hindi", "French", "German", "Russian", "Spanish"]
+        input_language = st.selectbox("Input Language: ", options1, key='input_lang2')
+
+        options2 = ["Hindi", "Telugu", "Spanish", "English", "German", "Russian", "French"]
+        output_language = st.selectbox("Output Language: ", options2, key='output_lang2')
+
+        text = st.text_input("Text Input: ", key='text_input2')
+
+        if st.button("Submit Translation", key='submit_translation2'):
+            llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
+
+            prompt = ChatPromptTemplate.from_messages([("system", "you are a good assistant for translation from {il} to {ol}"),
+                                                       ("human", "{i}")])
+
+            chain = prompt | llm
+
+            response = chain.invoke({"il": input_language, "ol": output_language, "i": text})
+
+            st.write("Response: ")
+            st.write(response.content)
+
+    elif task == "Summarization":
+        st.header("Summarization Task")
+        text = st.text_area("Text Input for Summarization: ", key='text_area2')
+
+        if st.button("Submit Summarization", key='submit_summarization2'):
+            llm = ChatOpenAI(model="gpt-3.5-turbo", temperature=0)
+
+            prompt = ChatPromptTemplate.from_messages([("system", "you are a good assistant for summarization"),
+                                                       ("human", "Summarize the following text: {i}")])
+
+            chain = prompt | llm
+
+            response = chain.invoke({"i": text})
+
+            st.write("Response: ")
+            st.write(response.content)