[ADD] Archivos Principales

app.py

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+import gradio as gr
+import pickle
+import pandas as pd
+
+
+PARAMS_NAME = [
+    "Age",
+    "Class",
+    "Wifi",
+    "Booking",
+    "Seat",
+    "Checkin"
+]
+
+
+with open("model/rf.pkl", "rb") as f:
+    model = pickle.load(f)
+
+COLUMNS_PATH = "model/categories_ohe.pickle"
+with open(COLUMNS_PATH, 'rb') as handle:
+    ohe_tr = pickle.load(handle)
+
+
+def predict(*args):
+    answer_dict = {}
+
+    for i in range(len(PARAMS_NAME)):
+        answer_dict[PARAMS_NAME[i]] = [args[i]]
+
+    single_instance = pd.DataFrame.from_dict(answer_dict)
+
+    # Reformat columns
+    single_instance_ohe = pd.get_dummies(single_instance).reindex(columns = ohe_tr).fillna(0)
+    
+    prediction = model.predict(single_instance_ohe)
+
+    response = format(prediction[0], '.2f')
+
+    return response
+
+with gr.Blocks() as demo:
+        gr.Markdown(
+        '''
+        # Flight satisfaction 🛩
+        '''
+        )
+
+        with gr.Row():
+            with gr.Column():
+                
+                gr.Markdown(
+                    '''
+                        ## Input 🛫
+
+                    '''
+                )
+
+                Age = gr.Slider(label="Age", minimum=0, maximum=120, step=1, randomize=True)
+
+                Class = gr.Radio(
+                    label="Class",
+                    choices=["Business", "Eco", "Eco Plus"],
+                    value="Eco Plus"
+                )
+
+                Wifi = gr.Slider(label="Wifi", minimum=0, maximum=5, step=1, randomize=True)
+
+                Booking = gr.Slider(label="Booking", minimum=0, maximum=5, step=1, randomize=True)
+
+                Seat = gr.Slider(label="Seat", minimum=0, maximum=5, step=1, randomize=True)
+
+                Checkin = gr.Slider(label="Checkin", minimum=0, maximum=5, step=1, randomize=True)
+
+            with gr.Column():
+
+                gr.Markdown(
+                    '''
+                        ## Prediction 🛬
+
+                    '''
+                )
+
+                label = gr.Label(label="Satisfaction")
+                predict_btn = gr.Button(value="Shoot")
+                predict_btn.click(
+                    predict,
+                    inputs=[
+                        Age,
+                        Class,
+                        Wifi,
+                        Booking,
+                        Seat,
+                        Checkin,
+                    ],
+                    outputs=[label],
+                    api_name="Flight satisfaction"
+                )
+        gr.Markdown(
+            '''
+
+            <p style='text-align:center'>
+                <a href='https://www.escueladedatosvivos.ai/cursos/bootcamp-de-data-science'
+                    target='_blank'>Estudia con Carlitos y hace muchas de estas APIS 😎 !
+                </a>
+            </p>
+            '''
+        )
+
+demo.launch()
+
+
+          
+
+          
+

model/categories_ohe.pickle

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:87509ad6135a53afdf6619009619635ecea70026c997f80282ffc3179ad63067
+size 311

model/rf.pkl

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:a4f0f17db40ed95d16b59525bd9375e50ee32a394bdfa7a7f36105fcce09ecd9
+size 631242803

requirements.txt

@@ -0,0 +1,154 @@
+aiofiles==23.2.1
+altair==5.1.0
+annotated-types==0.5.0
+anyio==3.7.1
+argon2-cffi==23.1.0
+argon2-cffi-bindings==21.2.0
+arrow==1.2.3
+asttokens==2.2.1
+async-lru==2.0.4
+attrs==23.1.0
+Babel==2.12.1
+backcall==0.2.0
+beautifulsoup4==4.12.2
+bleach==6.0.0
+certifi==2023.7.22
+cffi==1.15.1
+cfgv==3.4.0
+charset-normalizer==3.2.0
+click==8.1.7
+comm==0.1.4
+contourpy==1.1.0
+cycler==0.11.0
+debugpy==1.6.7.post1
+decorator==5.1.1
+defusedxml==0.7.1
+distlib==0.3.7
+exceptiongroup==1.1.3
+executing==1.2.0
+fastapi==0.103.0
+fastjsonschema==2.18.0
+ffmpy==0.3.1
+filelock==3.12.3
+flake8==6.1.0
+fonttools==4.42.1
+fqdn==1.5.1
+fsspec==2023.6.0
+funpymodeling==0.1.8
+gradio==3.41.2
+gradio_client==0.5.0
+h11==0.14.0
+httpcore==0.17.3
+httpx==0.24.1
+huggingface-hub==0.16.4
+identify==2.5.27
+idna==3.4
+importlib-resources==6.0.1
+iniconfig==2.0.0
+ipykernel==6.25.1
+ipython==8.14.0
+ipython-genutils==0.2.0
+ipywidgets==8.1.0
+isoduration==20.11.0
+jedi==0.19.0
+Jinja2==3.1.2
+joblib==1.3.2
+json5==0.9.14
+jsonpointer==2.4
+jsonschema==4.19.0
+jsonschema-specifications==2023.7.1
+jupyter==1.0.0
+jupyter-console==6.6.3
+jupyter-events==0.7.0
+jupyter-lsp==2.2.0
+jupyter_client==8.3.0
+jupyter_core==5.3.1
+jupyter_server==2.7.2
+jupyter_server_terminals==0.4.4
+jupyterlab==4.0.5
+jupyterlab-pygments==0.2.2
+jupyterlab-widgets==3.0.8
+jupyterlab_server==2.24.0
+kiwisolver==1.4.5
+MarkupSafe==2.1.3
+matplotlib==3.7.2
+matplotlib-inline==0.1.6
+mccabe==0.7.0
+mistune==3.0.1
+nbclient==0.8.0
+nbconvert==7.7.4
+nbformat==5.9.2
+nest-asyncio==1.5.7
+nodeenv==1.8.0
+notebook==7.0.2
+notebook_shim==0.2.3
+numpy==1.25.2
+orjson==3.9.5
+overrides==7.4.0
+packaging==23.1
+pandas==2.0.3
+pandocfilters==1.5.0
+parso==0.8.3
+pexpect==4.8.0
+pickleshare==0.7.5
+Pillow==10.0.0
+platformdirs==3.10.0
+pluggy==1.3.0
+pre-commit==3.3.3
+prometheus-client==0.17.1
+prompt-toolkit==3.0.39
+psutil==5.9.5
+ptyprocess==0.7.0
+pure-eval==0.2.2
+pycodestyle==2.11.0
+pycparser==2.21
+pydantic==2.3.0
+pydantic_core==2.6.3
+pydub==0.25.1
+pyflakes==3.1.0
+Pygments==2.16.1
+pyparsing==3.0.9
+pytest==7.4.0
+python-dateutil==2.8.2
+python-json-logger==2.0.7
+python-multipart==0.0.6
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+QtPy==2.3.1
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+requests==2.31.0
+rfc3339-validator==0.1.4
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+semantic-version==2.10.0
+Send2Trash==1.8.2
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+tqdm==4.66.1
+traitlets==5.9.0
+typing_extensions==4.7.1
+tzdata==2023.3
+uri-template==1.3.0
+urllib3==2.0.4
+uvicorn==0.23.2
+virtualenv==20.24.3
+wcwidth==0.2.6
+webcolors==1.13
+webencodings==0.5.1
+websocket-client==1.6.2
+websockets==11.0.3
+widgetsnbextension==4.0.8