Update app.py

app.py

@@ -86,3 +86,65 @@ if st.button("Summerize "):
         result = summarize_document_chain.run(text)
     st.write(result)
 
+
+
+
+yourquestion = st.text_input('Your topic', 'netzero')
+st.write('Your input is ', yourquestion)
+
+if st.button("Ask French "):
+    template = """
+    You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. 
+    Explain the concept of {concept}  like i am a five in French
+    """
+
+    prompt = PromptTemplate(
+        input_variables=["concept"],
+        template=template,
+    )
+
+
+    from langchain.chains import LLMChain
+    chain = LLMChain(llm=llm, prompt=prompt)
+
+    # Run the chain only specifying the input variable.
+    st.write(chain.run(yourquestion))
+
+
+if st.button("Ask English "):
+    template = """
+    You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. 
+    Explain the concept of {concept}  like i am a five 
+    """
+
+    prompt = PromptTemplate(
+        input_variables=["concept"],
+        template=template,
+    )
+
+
+    from langchain.chains import LLMChain
+    chain = LLMChain(llm=llm, prompt=prompt)
+
+    # Run the chain only specifying the input variable.
+    st.write(chain.run(yourquestion))
+
+
+
+if st.button("Ask Hindi "):
+    template = """
+    You are an expert on topics of Sustainability, Climate action and UN Sustainable Development Goals. 
+    Explain the concept of {concept} in Hindi
+    """
+
+    prompt = PromptTemplate(
+        input_variables=["concept"],
+        template=template,
+    )
+
+
+    from langchain.chains import LLMChain
+    chain = LLMChain(llm=llm, prompt=prompt)
+
+    # Run the chain only specifying the input variable.
+    st.write(chain.run(yourquestion))