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View Code? Open in Web Editor NEWPlotAI - Your Ultimate Plotting Assistant! ๐๐ค Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
License: Apache License 2.0
PlotAI - Your Ultimate Plotting Assistant! ๐๐ค Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.
License: Apache License 2.0
The initial prompt was: "scatter plot gdp vs happiness", meaning you requested a graph of y=gdp vs x=happiness, but the make
function yielded a graph of y=happiness vs x=gdp with the wrong title.
I would call that a bug.
Hello, i am trying to use plotai with a GPT4 key, but after several ways i have not been succesful using chat2plot with GPT4. Does caht2plot have official support to GPT 4 ? You guys can provide a implementation example with GPT4 if it's possible ?
Hi,
I am trying to set model version to gpt-4 as you suggested in the README file but I am getting the following error:
TypeError Traceback (most recent call last)
Cell In[4], line 6
3 df = pd.DataFrame({"x":[1,2,3], "y": [4,5,6]})
4 ## create a plot
----> 6 plot = PlotAI(df,model_version="gpt-4")
8 plot.make("scatter plot")
TypeError: PlotAI.init() got multiple values for argument 'model_version'
Initially when i tried with the default version , i got the following error:
...
178 """
--> 179 raise TypeError(f'Object of type {o.class.name} '
180 f'is not JSON serializable')
TypeError: Object of type DataFrame is not JSON serializable
Any suggestions how to fix the above errors? Thanks
Hi,
First of all, congratulations on making such a helpful library.
Applications relying on OpenAI API keys are a bit restricted for researchers like me who have no access to the API (yet). Is it possible to extend the support to "HuggingFace (HF) Inference API" or another similar API? HF offers free API for a number of LLMs hosted by themselves.
Here is an example:
import requests
API_URL = "https://api-inference.huggingface.co/models/mistralai/Mistral-7B-Instruct-v0.2"
headers = {"Authorization": f"Bearer {hf_token}"}
def query(payload):
response = requests.post(API_URL, headers=headers, json=payload)
return response.json()
prompt = """df = pd.read_csv("data.csv")
# Plot y v/s x
"""
output = query({
"inputs": prompt,
})
print(output[0]['generated_text'])
Output:
df = pd.read_csv("data.csv")
# Plot y v/s x
df.plot(x="x", y="y")
plt.show()
# Plot y v/s x with fitting line
plt.scatter(df['x'], df['y'])
plt.plot(df['x'], np.poly1d(np.polyfit(df['x'], df['y'], degree=1))(df['x']), color='r')
plt.show()
# Linear Reg
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