Update app.py
Browse files
app.py
CHANGED
@@ -4,7 +4,7 @@ import matplotlib.pyplot as plt
|
|
4 |
import io
|
5 |
import google.generativeai as genai
|
6 |
from PIL import Image
|
7 |
-
import ast
|
8 |
|
9 |
def process_file(api_key, file, instructions):
|
10 |
genai.configure(api_key=api_key)
|
@@ -18,27 +18,22 @@ def process_file(api_key, file, instructions):
|
|
18 |
except Exception as e:
|
19 |
return [None]*3
|
20 |
|
21 |
-
# Enhanced prompt with strict
|
22 |
-
prompt = f"""Generate 3
|
23 |
-
1.
|
24 |
-
2.
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
3. Different chart types required (bar, line, scatter)
|
30 |
-
4. Only use these imports: pandas as pd, matplotlib.pyplot as plt
|
31 |
|
32 |
Data columns: {list(df.columns)}
|
33 |
-
|
34 |
User instructions: {instructions or 'None'}
|
35 |
|
36 |
Format EXACTLY as:
|
37 |
# Visualization 1
|
38 |
-
plt
|
39 |
-
plt.style.use('ggplot')
|
40 |
-
# Plot code here
|
41 |
-
plt.tight_layout()
|
42 |
"""
|
43 |
|
44 |
response = model.generate_content(prompt)
|
@@ -49,50 +44,30 @@ def process_file(api_key, file, instructions):
|
|
49 |
buf = io.BytesIO()
|
50 |
try:
|
51 |
# Advanced code cleaning
|
52 |
-
cleaned_code = '\n'.join(
|
53 |
-
line.split('#')[0].strip()
|
54 |
-
for line in block.split('\n')[1:]
|
55 |
-
if line.strip() and
|
56 |
-
not any(s in line for s in ['
|
57 |
-
|
58 |
|
59 |
-
#
|
60 |
ast.parse(cleaned_code)
|
61 |
|
62 |
-
# Execute
|
|
|
63 |
plt.figure(figsize=(16, 9), dpi=120)
|
64 |
-
exec(cleaned_code,
|
65 |
|
66 |
-
# Save image
|
67 |
plt.savefig(buf, format='png', bbox_inches='tight')
|
68 |
plt.close()
|
69 |
buf.seek(0)
|
70 |
visualizations.append(Image.open(buf))
|
71 |
except Exception as e:
|
72 |
print(f"Visualization {i} Error: {str(e)}")
|
73 |
-
print(f"
|
74 |
visualizations.append(None)
|
75 |
|
76 |
return visualizations + [None]*(3-len(visualizations))
|
77 |
|
78 |
-
# Gradio interface
|
79 |
-
with gr.Blocks() as demo:
|
80 |
-
gr.Markdown("# Data Visualization Tool")
|
81 |
-
|
82 |
-
with gr.Row():
|
83 |
-
api_key = gr.Textbox(label="Gemini API Key", type="password")
|
84 |
-
file = gr.File(label="Upload CSV/Excel", file_types=[".csv", ".xlsx"])
|
85 |
-
|
86 |
-
instructions = gr.Textbox(label="Custom Instructions")
|
87 |
-
submit = gr.Button("Generate Visualizations")
|
88 |
-
|
89 |
-
with gr.Row():
|
90 |
-
outputs = [gr.Image(label=f"Visualization {i+1}") for i in range(3)]
|
91 |
-
|
92 |
-
submit.click(
|
93 |
-
process_file,
|
94 |
-
inputs=[api_key, file, instructions],
|
95 |
-
outputs=outputs
|
96 |
-
)
|
97 |
-
|
98 |
-
demo.launch()
|
|
|
4 |
import io
|
5 |
import google.generativeai as genai
|
6 |
from PIL import Image
|
7 |
+
import ast
|
8 |
|
9 |
def process_file(api_key, file, instructions):
|
10 |
genai.configure(api_key=api_key)
|
|
|
18 |
except Exception as e:
|
19 |
return [None]*3
|
20 |
|
21 |
+
# Enhanced prompt with strict variable requirements
|
22 |
+
prompt = f"""Generate 3 matplotlib codes with these rules:
|
23 |
+
1. Use EXACTLY these variables: df (DataFrame), plt (matplotlib)
|
24 |
+
2. NO imports or additional variables
|
25 |
+
3. Start each visualization with:
|
26 |
+
plt.figure(figsize=(16,9), dpi=120)
|
27 |
+
plt.style.use('ggplot')
|
28 |
+
4. End with plt.tight_layout()
|
|
|
|
|
29 |
|
30 |
Data columns: {list(df.columns)}
|
31 |
+
First 3 rows: {df.head(3).to_dict()}
|
32 |
User instructions: {instructions or 'None'}
|
33 |
|
34 |
Format EXACTLY as:
|
35 |
# Visualization 1
|
36 |
+
[code using df and plt]
|
|
|
|
|
|
|
37 |
"""
|
38 |
|
39 |
response = model.generate_content(prompt)
|
|
|
44 |
buf = io.BytesIO()
|
45 |
try:
|
46 |
# Advanced code cleaning
|
47 |
+
cleaned_code = '\n'.join(
|
48 |
+
line.replace('data', 'df').split('#')[0].strip()
|
49 |
+
for line in block.split('\n')[1:]
|
50 |
+
if line.strip() and
|
51 |
+
not any(s in line.lower() for s in ['import', 'data =', 'data='])
|
52 |
+
)
|
53 |
|
54 |
+
# Validate syntax
|
55 |
ast.parse(cleaned_code)
|
56 |
|
57 |
+
# Execute with controlled environment
|
58 |
+
exec_env = {'df': df, 'plt': plt}
|
59 |
plt.figure(figsize=(16, 9), dpi=120)
|
60 |
+
exec(cleaned_code, exec_env)
|
61 |
|
|
|
62 |
plt.savefig(buf, format='png', bbox_inches='tight')
|
63 |
plt.close()
|
64 |
buf.seek(0)
|
65 |
visualizations.append(Image.open(buf))
|
66 |
except Exception as e:
|
67 |
print(f"Visualization {i} Error: {str(e)}")
|
68 |
+
print(f"Cleaned Code:\n{cleaned_code}")
|
69 |
visualizations.append(None)
|
70 |
|
71 |
return visualizations + [None]*(3-len(visualizations))
|
72 |
|
73 |
+
# Rest of the Gradio interface remains the same
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|