Update app3.py
Browse files
app3.py
CHANGED
@@ -3,6 +3,7 @@ import pandas as pd
|
|
3 |
import plotly.express as px
|
4 |
from datasets import load_dataset
|
5 |
from pandasai import Agent
|
|
|
6 |
from langchain_community.embeddings.openai import OpenAIEmbeddings
|
7 |
from langchain_community.vectorstores import FAISS
|
8 |
from langchain_openai import ChatOpenAI
|
@@ -32,8 +33,11 @@ if missing_keys:
|
|
32 |
f"The following API key(s) are missing: {missing_keys_str}. Please set them in the environment."
|
33 |
)
|
34 |
|
|
|
|
|
|
|
35 |
# Title of the app
|
36 |
-
st.title("Data Analyzer")
|
37 |
|
38 |
# Function to load datasets into session
|
39 |
def load_dataset_into_session():
|
@@ -62,7 +66,6 @@ def load_dataset_into_session():
|
|
62 |
if st.button("Load Hugging Face Dataset"):
|
63 |
try:
|
64 |
dataset = load_dataset(dataset_name, split="train", trust_remote_code=True)
|
65 |
-
# Convert Hugging Face dataset to Pandas DataFrame
|
66 |
if hasattr(dataset, "to_pandas"):
|
67 |
st.session_state.df = dataset.to_pandas()
|
68 |
else:
|
@@ -97,7 +100,8 @@ if st.session_state.df is not None:
|
|
97 |
df = st.session_state.df
|
98 |
try:
|
99 |
# Initialize PandasAI Agent
|
100 |
-
|
|
|
101 |
|
102 |
# Convert DataFrame to documents for RAG
|
103 |
documents = [
|
@@ -132,9 +136,13 @@ if st.session_state.df is not None:
|
|
132 |
if pandas_question:
|
133 |
try:
|
134 |
result = agent.chat(pandas_question)
|
135 |
-
|
|
|
|
|
|
|
136 |
except Exception as e:
|
137 |
st.error(f"Error during PandasAI Analysis: {e}")
|
|
|
138 |
|
139 |
# Tab 2: RAG Q&A
|
140 |
with tab2:
|
@@ -146,6 +154,7 @@ if st.session_state.df is not None:
|
|
146 |
st.write("RAG Answer:", result)
|
147 |
except Exception as e:
|
148 |
st.error(f"Error during RAG Q&A: {e}")
|
|
|
149 |
|
150 |
# Tab 3: Data Visualization
|
151 |
with tab3:
|
@@ -157,7 +166,6 @@ if st.session_state.df is not None:
|
|
157 |
try:
|
158 |
result = agent.chat(viz_question)
|
159 |
|
160 |
-
# Extract Python code for visualization
|
161 |
import re
|
162 |
|
163 |
code_pattern = r"```python\n(.*?)\n```"
|
@@ -165,9 +173,8 @@ if st.session_state.df is not None:
|
|
165 |
|
166 |
if code_match:
|
167 |
viz_code = code_match.group(1)
|
168 |
-
# Replace matplotlib (plt) code with Plotly (px)
|
169 |
viz_code = viz_code.replace("plt.", "px.")
|
170 |
-
exec(viz_code)
|
171 |
st.plotly_chart(fig)
|
172 |
else:
|
173 |
st.warning("Could not generate a graph. Try a different query.")
|
|
|
3 |
import plotly.express as px
|
4 |
from datasets import load_dataset
|
5 |
from pandasai import Agent
|
6 |
+
from pandasai.llm.openai import OpenAI
|
7 |
from langchain_community.embeddings.openai import OpenAIEmbeddings
|
8 |
from langchain_community.vectorstores import FAISS
|
9 |
from langchain_openai import ChatOpenAI
|
|
|
33 |
f"The following API key(s) are missing: {missing_keys_str}. Please set them in the environment."
|
34 |
)
|
35 |
|
36 |
+
logger.debug(f"OPENAI_API_KEY: {api_key}")
|
37 |
+
logger.debug(f"PANDASAI_API_KEY: {pandasai_api_key}")
|
38 |
+
|
39 |
# Title of the app
|
40 |
+
st.title("PandasAI Data Analyzer with RAG")
|
41 |
|
42 |
# Function to load datasets into session
|
43 |
def load_dataset_into_session():
|
|
|
66 |
if st.button("Load Hugging Face Dataset"):
|
67 |
try:
|
68 |
dataset = load_dataset(dataset_name, split="train", trust_remote_code=True)
|
|
|
69 |
if hasattr(dataset, "to_pandas"):
|
70 |
st.session_state.df = dataset.to_pandas()
|
71 |
else:
|
|
|
100 |
df = st.session_state.df
|
101 |
try:
|
102 |
# Initialize PandasAI Agent
|
103 |
+
llm = OpenAI(api_key=pandasai_api_key)
|
104 |
+
agent = Agent(df, llm=llm)
|
105 |
|
106 |
# Convert DataFrame to documents for RAG
|
107 |
documents = [
|
|
|
136 |
if pandas_question:
|
137 |
try:
|
138 |
result = agent.chat(pandas_question)
|
139 |
+
if result:
|
140 |
+
st.write("PandasAI Answer:", result)
|
141 |
+
else:
|
142 |
+
st.warning("PandasAI returned no result. Try another question.")
|
143 |
except Exception as e:
|
144 |
st.error(f"Error during PandasAI Analysis: {e}")
|
145 |
+
logger.error(f"PandasAI Analysis error: {e}")
|
146 |
|
147 |
# Tab 2: RAG Q&A
|
148 |
with tab2:
|
|
|
154 |
st.write("RAG Answer:", result)
|
155 |
except Exception as e:
|
156 |
st.error(f"Error during RAG Q&A: {e}")
|
157 |
+
logger.error(f"RAG Q&A error: {e}")
|
158 |
|
159 |
# Tab 3: Data Visualization
|
160 |
with tab3:
|
|
|
166 |
try:
|
167 |
result = agent.chat(viz_question)
|
168 |
|
|
|
169 |
import re
|
170 |
|
171 |
code_pattern = r"```python\n(.*?)\n```"
|
|
|
173 |
|
174 |
if code_match:
|
175 |
viz_code = code_match.group(1)
|
|
|
176 |
viz_code = viz_code.replace("plt.", "px.")
|
177 |
+
exec(viz_code)
|
178 |
st.plotly_chart(fig)
|
179 |
else:
|
180 |
st.warning("Could not generate a graph. Try a different query.")
|