Create app.py

app.py

@@ -1,162 +1,67 @@
-import faicons as fa
-import plotly.express as px
-
-# Load data and compute static values
-from shared import app_dir, tips
-from shinywidgets import render_plotly
-
-from shiny import reactive, render
-from shiny.express import input, ui
-
-bill_rng = (min(tips.total_bill), max(tips.total_bill))
-
-# Add page title and sidebar
-ui.page_opts(title="Restaurant tipping", fillable=True)
-
-with ui.sidebar(open="desktop"):
-    ui.input_slider(
-        "total_bill",
-        "Bill amount",
-        min=bill_rng[0],
-        max=bill_rng[1],
-        value=bill_rng,
-        pre="$",
-    )
-    ui.input_checkbox_group(
-        "time",
-        "Food service",
-        ["Lunch", "Dinner"],
-        selected=["Lunch", "Dinner"],
-        inline=True,
-    )
-    ui.input_action_button("reset", "Reset filter")
-
-# Add main content
-ICONS = {
-    "user": fa.icon_svg("user", "regular"),
-    "wallet": fa.icon_svg("wallet"),
-    "currency-dollar": fa.icon_svg("dollar-sign"),
-    "ellipsis": fa.icon_svg("ellipsis"),
-}
-
-with ui.layout_columns(fill=False):
-    with ui.value_box(showcase=ICONS["user"]):
-        "Total tippers"
-
-        @render.express
-        def total_tippers():
-            tips_data().shape[0]
-
-    with ui.value_box(showcase=ICONS["wallet"]):
-        "Average tip"
-
-        @render.express
-        def average_tip():
-            d = tips_data()
-            if d.shape[0] > 0:
-                perc = d.tip / d.total_bill
-                f"{perc.mean():.1%}"
-
-    with ui.value_box(showcase=ICONS["currency-dollar"]):
-        "Average bill"
-
-        @render.express
-        def average_bill():
-            d = tips_data()
-            if d.shape[0] > 0:
-                bill = d.total_bill.mean()
-                f"${bill:.2f}"
-
-
-with ui.layout_columns(col_widths=[6, 6, 12]):
-    with ui.card(full_screen=True):
-        ui.card_header("Tips data")
-
-        @render.data_frame
-        def table():
-            return render.DataGrid(tips_data())
-
-    with ui.card(full_screen=True):
-        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
-            "Total bill vs tip"
-            with ui.popover(title="Add a color variable", placement="top"):
-                ICONS["ellipsis"]
-                ui.input_radio_buttons(
-                    "scatter_color",
-                    None,
-                    ["none", "sex", "smoker", "day", "time"],
-                    inline=True,
-                )
-
-        @render_plotly
-        def scatterplot():
-            color = input.scatter_color()
-            return px.scatter(
-                tips_data(),
-                x="total_bill",
-                y="tip",
-                color=None if color == "none" else color,
-                trendline="lowess",
-            )
-
-    with ui.card(full_screen=True):
-        with ui.card_header(class_="d-flex justify-content-between align-items-center"):
-            "Tip percentages"
-            with ui.popover(title="Add a color variable"):
-                ICONS["ellipsis"]
-                ui.input_radio_buttons(
-                    "tip_perc_y",
-                    "Split by:",
-                    ["sex", "smoker", "day", "time"],
-                    selected="day",
-                    inline=True,
-                )
-
-        @render_plotly
-        def tip_perc():
-            from ridgeplot import ridgeplot
-
-            dat = tips_data()
-            dat["percent"] = dat.tip / dat.total_bill
-            yvar = input.tip_perc_y()
-            uvals = dat[yvar].unique()
-
-            samples = [[dat.percent[dat[yvar] == val]] for val in uvals]
-
-            plt = ridgeplot(
-                samples=samples,
-                labels=uvals,
-                bandwidth=0.01,
-                colorscale="viridis",
-                colormode="row-index",
-            )
-
-            plt.update_layout(
-                legend=dict(
-                    orientation="h", yanchor="bottom", y=1.02, xanchor="center", x=0.5
-                )
-            )
-
-            return plt
-
-
-ui.include_css(app_dir / "styles.css")
-
-# --------------------------------------------------------
-# Reactive calculations and effects
-# --------------------------------------------------------
-
-
-@reactive.calc
-def tips_data():
-    bill = input.total_bill()
-    idx1 = tips.total_bill.between(bill[0], bill[1])
-    idx2 = tips.time.isin(input.time())
-    return tips[idx1 & idx2]
-
-
-@reactive.effect
-@reactive.event(input.reset)
-def _():
-    ui.update_slider("total_bill", value=bill_rng)
-    ui.update_checkbox_group("time", selected=["Lunch", "Dinner"])
+from transformers import pipeline
+import speech_recognition as sr
+from gtts import gTTS
+import os
+import io
+from google.oauth2.credentials import Credentials
+from googleapiclient.discovery import build
+from googleapiclient.http import MediaIoBaseDownload
+
+# Инициализация модели и токенизатора
+model_name = "cointegrated/rut5-base-multitask"
+chatbot = pipeline("text-generation", model=model_name)
+
+# Функция для распознавания речи
+def recognize_speech():
+    recognizer = sr.Recognizer()
+    with sr.Microphone() as source:
+        print("Скажите что-нибудь...")
+        audio = recognizer.listen(source)
+    try:
+        text = recognizer.recognize_google(audio, language="ru-RU")
+        print("Вы сказали: " + text)
+        return text
+    except sr.UnknownValueError:
+        print("Не удалось распознать речь")
+        return ""
+    except sr.RequestError as e:
+        print("Ошибка сервиса распознавания речи; {0}".format(e))
+        return ""
+
+# Функция для синтеза речи
+def synthesize_speech(text):
+    tts = gTTS(text=text, lang="ru")
+    tts.save("response.mp3")
+    os.system("mpg321 response.mp3")
+
+# Функция для загрузки документов с Google Drive
+def load_documents_from_drive():
+    creds = Credentials.from_authorized_user_file('token.json', ['https://www.googleapis.com/auth/drive.readonly'])
+    service = build('drive', 'v3', credentials=creds)
+    results = service.files().list(q="mimeType='application/pdf' and trashed=false", fields="files(id, name)").execute()
+    items = results.get('files', [])
+    documents = []
+    for item in items:
+        file_id = item['id']
+        request = service.files().get_media(fileId=file_id)
+        fh = io.FileIO(item['name'], 'wb')
+        downloader = MediaIoBaseDownload(fh, request)
+        done = False
+        while done is False:
+            status, done = downloader.next_chunk()
+            print(f"Скачивание файла {item['name']}... {int(status.progress() * 100)}% завершено")
+        fh.close()
+        documents.append(item['name'])
+    return documents
+
+# Основной цикл чатбота
+def main():
+    while True:
+        user_input = recognize_speech()
+        if user_input:
+            response = chatbot(user_input, max_length=100, num_return_sequences=1)[0]['generated_text']
+            print("Чатбот: " + response)
+            synthesize_speech(response)
+
+if __name__ == "__main__":
+    main()