Update src/streamlit_app.py

src/streamlit_app.py

@@ -1,40 +1,66 @@
-import altair as alt
-import numpy as np
-import pandas as pd
 import streamlit as st
+import pandas as pd
+import json
+
+from agent import query_agent, create_agent
+
+def decode_response(response: str) -> dict:
+    """ This function converts the string response from the model to a dictionary.
+    Args:
+        response (str): The string response from the model.
+    Returns:
+        dict: The dictionary representation of the response.
+    """
+    response_dict = json.loads(response)
+    return response_dict
+
+def write_response(response_dict: dict):
+    """ This function writes the response from the model to the Streamlit app.
+    Args:
+        response_dict (dict): The dictionary representation of the response.
+    """
+    # Check if the response is an answer.
+    if "answer" in response_dict:
+        st.write(response_dict["answer"])
+
+    # Check if the response is a bar chart.
+    if "bar" in response_dict:
+        data = response_dict["bar"]
+        df = pd.DataFrame(data)
+        df.set_index("columns", inplace=True)
+        st.bar_chart(df)
+
+    # Check if the response is a line chart.
+    if "line" in response_dict:
+        data = response_dict["line"]
+        df = pd.DataFrame(data)
+        df.set_index("columns", inplace=True)
+        st.line_chart(df)
+        
+    # Check if the response is a table. 
+    if "table" in response_dict:
+        data = response_dict["table"]
+        df = pd.DataFrame(data["data"], columns=data["columns"])
+        st.table(df)
+
+st.title("👨‍💻 Chat with your CSV")
+
+st.write("Please upload your CSV file below.")
+
+data = st.file_uploader("Upload a CSV")
+
+query = st.text_area("Type your query here")
+
+if st.button("Submit Query", type="primary"):
+    # Create an agent from the CSV file.
+    agent = create_agent(data)
+
+    # Query the agent.
+    response = query_agent(agent=agent, query=query)
+
+    # Decode the response.
+    decoded_response = decode_response(response)
+    print(decoded_response)
 
-"""
-# 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])),
-    ))
+    # Write the response to the Streamlit app.
+    write_response(decoded_response)