Update app.py
Browse files
app.py
CHANGED
@@ -4,7 +4,6 @@ import matplotlib.pyplot as plt
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import io
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import base64
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import google.generativeai as genai
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import traceback
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def process_file(api_key, file, instructions):
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# Set up Gemini API
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@@ -30,46 +29,33 @@ def process_file(api_key, file, instructions):
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User instructions: {instructions if instructions else 'No specific instructions provided.'}
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2. Provide Python code using matplotlib to create the visualization. Ensure the code is complete and executable.
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3. Explain why this visualization is useful for understanding the data.
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Format your response as:
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Visualization 1:
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Description: ...
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Code:
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```python
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# Your code here
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```
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Explanation: ...
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Visualization 2:
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...
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Visualization 3:
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...
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"""
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response = model.generate_content(prompt)
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visualizations = []
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for i,
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parts = suggestion.split("Code:")
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description = parts[0].strip()
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code_parts = parts[1].split("Explanation:")
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code = code_parts[0].strip()
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explanation = code_parts[1].strip() if len(code_parts) > 1 else "No explanation provided."
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# Extract code from markdown code block if present
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if "```python" in code and "```" in code:
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code = code.split("```python")[1].split("```")[0].strip()
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# Execute the code
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plt.figure(figsize=(10, 6))
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try:
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exec(
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plt.title(f"Visualization {i}")
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# Save the plot to a BytesIO object
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@@ -79,14 +65,14 @@ def process_file(api_key, file, instructions):
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img_str = base64.b64encode(buf.getvalue()).decode()
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plt.close()
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visualizations.append(
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except Exception as e:
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visualizations.append(
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# Ensure we always return 3 visualizations
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while len(visualizations) < 3:
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visualizations.append(
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return visualizations
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@@ -102,30 +88,11 @@ with gr.Blocks() as demo:
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output1 = gr.Image(label="Visualization 1")
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output2 = gr.Image(label="Visualization 2")
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output3 = gr.Image(label="Visualization 3")
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with gr.Row():
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desc1 = gr.Textbox(label="Description 1")
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desc2 = gr.Textbox(label="Description 2")
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desc3 = gr.Textbox(label="Description 3")
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with gr.Row():
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code1 = gr.Code(language="python", label="Code 1")
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code2 = gr.Code(language="python", label="Code 2")
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code3 = gr.Code(language="python", label="Code 3")
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with gr.Row():
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expl1 = gr.Textbox(label="Explanation/Error 1")
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expl2 = gr.Textbox(label="Explanation/Error 2")
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expl3 = gr.Textbox(label="Explanation/Error 3")
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submit.click(
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fn=process_file,
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inputs=[api_key, file, instructions],
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outputs=[
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output1, desc1, code1, expl1,
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output2, desc2, code2, expl2,
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output3, desc3, code3, expl3
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],
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show_progress=True,
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)
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import io
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import base64
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import google.generativeai as genai
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def process_file(api_key, file, instructions):
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# Set up Gemini API
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User instructions: {instructions if instructions else 'No specific instructions provided.'}
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Generate Python code for 3 different visualizations using matplotlib. Each visualization should be unique and provide insights into the data. Do not include any explanations or descriptions, only the Python code for each visualization.
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Format your response as:
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```python
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# Visualization 1
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# Your code here
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# Visualization 2
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# Your code here
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# Visualization 3
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# Your code here
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```
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"""
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response = model.generate_content(prompt)
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code = response.text.strip()
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# Extract code from markdown code block if present
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if "```python" in code and "```" in code:
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code = code.split("```python")[1].split("```")[0].strip()
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visualizations = []
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for i, viz_code in enumerate(code.split("# Visualization")[1:4], 1):
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plt.figure(figsize=(10, 6))
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try:
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exec(viz_code, {'df': df, 'plt': plt})
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plt.title(f"Visualization {i}")
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# Save the plot to a BytesIO object
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img_str = base64.b64encode(buf.getvalue()).decode()
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plt.close()
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visualizations.append(f"data:image/png;base64,{img_str}")
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except Exception as e:
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print(f"Error in visualization {i}: {str(e)}")
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visualizations.append(None)
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# Ensure we always return 3 visualizations
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while len(visualizations) < 3:
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visualizations.append(None)
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return visualizations
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output1 = gr.Image(label="Visualization 1")
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output2 = gr.Image(label="Visualization 2")
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output3 = gr.Image(label="Visualization 3")
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submit.click(
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fn=process_file,
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inputs=[api_key, file, instructions],
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outputs=[output1, output2, output3],
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show_progress=True,
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)
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