Remove Paywall w/ by upgrading chartgpt
Browse files- app.py +14 -75
- requirements.txt +1 -1
app.py
CHANGED
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@@ -31,61 +31,6 @@ body = dmc.Stack(
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size="md",
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breakpoint="sm",
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children=[
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dmc.StepperStep(
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label="Add your OpenAI API key",
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icon=DashIconify(
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icon="material-symbols:lock",
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),
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progressIcon=DashIconify(
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icon="material-symbols:lock",
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),
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completedIcon=DashIconify(
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icon="material-symbols:lock-open",
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),
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children=[
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dmc.Stack(
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[
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dmc.Stack(
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[
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dmc.Blockquote(
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"""Welcome to ChartGPT! To get started, fetch your OpenAI API key and paste it below.\
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Then, upload your CSV file and ask ChartGPT to plot your data. Happy charting 🥳""",
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icon=DashIconify(
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icon="line-md:coffee-half-empty-twotone-loop"
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),
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),
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dmc.Center(
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dmc.Button(
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dmc.Anchor(
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"Get your API key",
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href="https://platform.openai.com/account/api-keys",
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target="_blank",
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style={
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"textDecoration": "none",
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"color": "white",
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},
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),
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fullWidth=False,
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rightIcon=DashIconify(
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icon="material-symbols:open-in-new"
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),
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),
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),
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],
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),
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dmc.PasswordInput(
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id="input-api-key",
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label="API Key",
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description="Please add your OpenAI API key. It will be used to generate your visualization",
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placeholder="Your OpenAI API Key",
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icon=DashIconify(icon="material-symbols:key"),
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size="sm",
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required=True,
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),
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]
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)
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],
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),
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dmc.StepperStep(
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label="Upload your CSV file",
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icon=DashIconify(icon="material-symbols:upload"),
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@@ -352,7 +297,7 @@ def store_data(contents, filename):
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)
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def load_data(dataset):
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if dataset is not None:
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df = pd.read_json(dataset, orient="split")
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table_preview = dag.AgGrid(
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id="data-preview",
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rowData=df.to_dict("records"),
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@@ -401,7 +346,7 @@ def load_data(dataset):
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def update_stepper(stepper_next, stepper_back, current):
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ctx = dash.callback_context
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id_clicked = ctx.triggered[0]["prop_id"]
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if id_clicked == "stepper-next.n_clicks" and current <
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return current + 1
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elif id_clicked == "stepper-back.n_clicks":
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return current - 1
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@@ -416,15 +361,10 @@ def update_stepper(stepper_next, stepper_back, current):
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Output("stepper-next", "children"),
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Output("icon-next", "icon"),
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Input("stepper", "active"),
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Input("input-api-key", "value"),
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Input("dataset-store", "data"),
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)
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def update_stepper_buttons(current,
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if current == 0 and
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return False, True, "block", "none", "Next", "ic:round-arrow-forward"
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elif current == 0 and api_key == "":
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return True, True, "block", "none", "Next", "ic:round-arrow-forward"
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elif current == 1 and data is not None:
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return (
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False,
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False,
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@@ -433,7 +373,7 @@ def update_stepper_buttons(current, api_key, data):
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"Next",
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"ic:round-arrow-forward",
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)
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elif current ==
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return (
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True,
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False,
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@@ -442,7 +382,7 @@ def update_stepper_buttons(current, api_key, data):
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"Next",
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"ic:round-arrow-forward",
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)
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elif current ==
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return (
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False,
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False,
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@@ -451,7 +391,7 @@ def update_stepper_buttons(current, api_key, data):
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"Ask ChartGPT",
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"ph:flask-bold",
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)
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elif current ==
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return (False, False, "block", "block", "Ask again", "ic:refresh")
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@@ -462,29 +402,28 @@ def update_stepper_buttons(current, api_key, data):
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Output("alert-error", "children"),
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Input("stepper-next", "n_clicks"),
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State("stepper", "active"),
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State("input-api-key", "value"),
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State("dataset-store", "data"),
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State("input-text", "value"),
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State("input-text-retry", "value"),
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prevent_initial_call=True,
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)
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def update_graph(n_clicks, active,
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if n_clicks is not None and active ==
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try:
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return prompt, predict(
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except Exception as e:
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return no_update, no_update, False, str(e)
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elif n_clicks is not None and active ==
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try:
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return prompt_retry, predict(
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except Exception as e:
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return no_update, no_update, False, str(e)
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return no_update
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def predict(
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df = pd.read_json(df, orient="split")
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chart = cg.Chart(df
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fig = chart.plot(prompt, return_fig=True)
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output = show_graph_card(graph=dcc.Graph(figure=fig), code=chart.last_run_code)
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return output
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size="md",
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breakpoint="sm",
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children=[
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dmc.StepperStep(
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label="Upload your CSV file",
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icon=DashIconify(icon="material-symbols:upload"),
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)
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def load_data(dataset):
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if dataset is not None:
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df = pd.read_json(io.StringIO(dataset), orient="split")
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table_preview = dag.AgGrid(
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id="data-preview",
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rowData=df.to_dict("records"),
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def update_stepper(stepper_next, stepper_back, current):
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ctx = dash.callback_context
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id_clicked = ctx.triggered[0]["prop_id"]
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if id_clicked == "stepper-next.n_clicks" and current < 2:
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return current + 1
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elif id_clicked == "stepper-back.n_clicks":
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return current - 1
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Output("stepper-next", "children"),
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Output("icon-next", "icon"),
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Input("stepper", "active"),
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Input("dataset-store", "data"),
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)
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def update_stepper_buttons(current, data):
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if current == 0 and data is not None:
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return (
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False,
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False,
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"Next",
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"ic:round-arrow-forward",
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)
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elif current == 0 and data is None:
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return (
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True,
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False,
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"Next",
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"ic:round-arrow-forward",
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)
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elif current == 1:
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return (
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False,
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False,
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"Ask ChartGPT",
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"ph:flask-bold",
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)
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elif current == 2:
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return (False, False, "block", "block", "Ask again", "ic:refresh")
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Output("alert-error", "children"),
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Input("stepper-next", "n_clicks"),
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State("stepper", "active"),
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State("dataset-store", "data"),
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State("input-text", "value"),
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State("input-text-retry", "value"),
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prevent_initial_call=True,
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)
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def update_graph(n_clicks, active, df, prompt, prompt_retry):
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if n_clicks is not None and active == 1:
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try:
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return prompt, predict(df, prompt), True, ""
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except Exception as e:
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return no_update, no_update, False, str(e)
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elif n_clicks is not None and active == 2:
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try:
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return prompt_retry, predict(df, prompt_retry), True, ""
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except Exception as e:
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return no_update, no_update, False, str(e)
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return no_update
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def predict(df, prompt):
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df = pd.read_json(df, orient="split")
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chart = cg.Chart(df)
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fig = chart.plot(prompt, return_fig=True)
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output = show_graph_card(graph=dcc.Graph(figure=fig), code=chart.last_run_code)
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return output
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requirements.txt
CHANGED
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@@ -1,4 +1,4 @@
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chartgpt>=0.0.
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dash-ag-grid>=2.2.0
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dash-iconify>=0.1.2
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dash-mantine-components>=0.12.1
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chartgpt>=0.0.7
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dash-ag-grid>=2.2.0
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dash-iconify>=0.1.2
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dash-mantine-components>=0.12.1
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