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openai-whisper-large-v3.2

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Hugo Rodrigues commited on Jan 26, 2024

Commit

9001e67

1 Parent(s): 44acaf4

call a model

Files changed (7) hide show

Dockerfile CHANGED Viewed

@@ -1,14 +1,27 @@
-# read the doc: https://huggingface.co/docs/hub/spaces-sdks-docker
-# you will also find guides on how best to write your Dockerfile
 FROM python:3.9
 WORKDIR /code
 COPY ./requirements.txt /code/requirements.txt
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
-COPY . .
-CMD ["uvicorn", "app:app", "--host", "0.0.0.0", "--port", "7860"]

+# Use the official Python 3.9 image
 FROM python:3.9
+# Set the working directory to /code
 WORKDIR /code
+# Copy the current directory contents into the container at /code
 COPY ./requirements.txt /code/requirements.txt
+# Install requirements.txt
 RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+# Set up a new user named "user" with user ID 1000
+RUN useradd -m -u 1000 user
+# Switch to the "user" user
+USER user
+# Set home to the user's home directory
+ENV HOME=/home/user \
+  PATH=/home/user/.local/bin:$PATH
+# Set the working directory to the user's home directory
+WORKDIR $HOME/app
+# Copy the current directory contents into the container at $HOME/app setting the owner to the user
+COPY --chown=user . $HOME/app
+CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]

README.md CHANGED Viewed

@@ -1,10 +1,11 @@
 ---
-title: Openai Whisper Large V3.2
 emoji: 😻
 colorFrom: yellow
 colorTo: red
 sdk: docker
 pinned: false
 ---
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

 ---
+title: Basic Docker with fastapi
 emoji: 😻
 colorFrom: yellow
 colorTo: red
 sdk: docker
 pinned: false
+app_port: 7860
 ---
 Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py DELETED Viewed

@@ -1,30 +0,0 @@
-# import gradio as gr
-# gr.load("models/openai/whisper-large-v3").launch()
-from typing import Union
-from pydantic import BaseModel
-from fastapi import FastAPI
-app = FastAPI()
-class Item(BaseModel):
-    name: str
-    price: float
-    is_offer: Union[bool, None] = None
-@app.get("/")
-def read_root():
-    return {"Hello": "World"}
-@app.get("/items/{item_id}")
-def read_item(item_id: int, q: Union[str, None] = None):
-    return {"item_id": item_id, "q": q}
-@app.put("/items/{item_id}")
-def update_item(item_id: int, item: Item):
-    return {"item_name": item.name, "item_id": item_id}

requirements.txt CHANGED Viewed

@@ -1,4 +1,8 @@
 fastapi
 pydantic
 typing
 uvicorn[standard]

 fastapi
 pydantic
 typing
+transformers
+torch
+requests
+sentencepiece
 uvicorn[standard]

static/index.html ADDED Viewed

+<!DOCTYPE html>
+<html lang="en">
+  <head>
+    <meta charset="UTF-8" />
+    <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+    <title>Fast API 🤗 Space served with Uvicorn</title>
+    <link rel="stylesheet" href="style.css" />
+    <script type="module" src="script.js"></script>
+  </head>
+  <body>
+    <main>
+      <section id="text-gen">
+        <h1>Text generation using Flan T5</h1>
+        <p>
+          Model:
+          <a
+              href="https://huggingface.co/google/flan-t5-small"
+              rel="noreferrer"
+              target="_blank"
+            >google/flan-t5-small</a
+          >
+        </p>
+        <form class="text-gen-form">
+          <label for="text-gen-input">Text prompt</label>
+          <input
+            id="text-gen-input"
+            type="text"
+            value="English: Translate There are many ducks. German:"
+          />
+          <button id="text-gen-submit">Submit</button>
+          <p class="text-gen-output"></p>
+        </form>
+      </section>
+    </main>
+  </body>
+</html>

static/script.js ADDED Viewed

+const textGenForm = document.querySelector('.text-gen-form');
+const translateText = async (text) => {
+    const inferResponse = await fetch(`infer_t5?input=${text}`);
+    const inferJson = await inferResponse.json();
+    return inferJson.output;
+};
+textGenForm.addEventListener('submit', async (event) => {
+  event.preventDefault();
+  const textGenInput = document.getElementById('text-gen-input');
+  const textGenParagraph = document.querySelector('.text-gen-output');
+  try {
+    textGenParagraph.textContent = await translateText(textGenInput.value);
+  } catch (err) {
+    console.error(err);
+  }
+});

static/style.css ADDED Viewed

+body {
+  --text: hsl(0 0% 15%);
+  padding: 2.5rem;
+  font-family: sans-serif;
+  color: var(--text);
+}
+body.dark-theme {
+  --text: hsl(0 0% 90%);
+  background-color: hsl(223 39% 7%);
+}
+main {
+  max-width: 80rem;
+  text-align: center;
+}
+section {
+  display: flex;
+  flex-direction: column;
+  align-items: center;
+}
+a {
+  color: var(--text);
+}
+form {
+  width: 30rem;
+  margin: 0 auto;
+}
+input {
+  width: 100%;
+}
+button {
+  cursor: pointer;
+}
+.text-gen-output {
+  min-height: 1.2rem;
+  margin: 1rem;
+  border: 0.5px solid grey;
+}