Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,35 @@
-import altair as alt
-import numpy as np
-import pandas as pd
+from langchain_openai import ChatOpenAI
+from langchain_core.prompts import PromptTemplate
+from langchain_core.output_parsers import StrOutputParser
+import os
 import streamlit as st
 
-"""
-# Welcome to Streamlit!
-
-Edit `/streamlit_app.py` to customize this app to your heart's desire :heart:.
-If you have any questions, checkout our [documentation](https://docs.streamlit.io) and [community
-forums](https://discuss.streamlit.io).
-
-In the meantime, below is an example of what you can do with just a few lines of code:
-"""
-
-num_points = st.slider("Number of points in spiral", 1, 10000, 1100)
-num_turns = st.slider("Number of turns in spiral", 1, 300, 31)
-
-indices = np.linspace(0, 1, num_points)
-theta = 2 * np.pi * num_turns * indices
-radius = indices
-
-x = radius * np.cos(theta)
-y = radius * np.sin(theta)
-
-df = pd.DataFrame({
-    "x": x,
-    "y": y,
-    "idx": indices,
-    "rand": np.random.randn(num_points),
-})
-
-st.altair_chart(alt.Chart(df, height=700, width=700)
-    .mark_point(filled=True)
-    .encode(
-        x=alt.X("x", axis=None),
-        y=alt.Y("y", axis=None),
-        color=alt.Color("idx", legend=None, scale=alt.Scale()),
-        size=alt.Size("rand", legend=None, scale=alt.Scale(range=[1, 150])),
-    ))
+api_key = os.getenv("OPENAI_API_KEY")
+
+st.title("Query Response APP")
+
+load_dotenv()
+
+llm = ChatOpenAI(openai_api_key=api_key)
+
+prompt = PromptTemplate(
+    template= 'Please write your query : {Query}',
+    input_variables=['Query']
+)
+
+parser = StrOutputParser()
+
+chain = prompt | llm | parser
+
+Query = st.text_input("Query: ", key="Query")
+
+submit = st.button("Ask the question")
+
+# Query = 'What is the capital of India'
+
+if submit:
+
+    response = chain.invoke({'Query':Query})
+
+    st.subheader('the response is')
+    st.write(response)