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Upload main.py
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main.py
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from fastapi import FastAPI
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from transformers import pipeline
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app = FastAPI()
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pipe = pipeline(task="text-generation", model="gpt2-large", framework="pt")
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@app.get("/")
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def
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"""
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Returns
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"""
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return
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@app.get("/generate")
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@@ -21,5 +114,4 @@ def generate(text: str):
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can be found [here](<https://huggingface.co/openai-community/gpt2-large>).
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"""
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output = pipe(text)
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return {"output": output[0]["generated_text"]}
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from fastapi import FastAPI
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from fastapi.responses import HTMLResponse
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from transformers import pipeline
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from fastapi.middleware.cors import CORSMiddleware
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app = FastAPI()
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app.add_middleware(CORSMiddleware,
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allow_origins=["*"],
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"])
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pipe = pipeline(task="text-generation", model="gpt2-large", framework="pt")
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@app.get(path="/", response_class=HTMLResponse)
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def get_ui():
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"""
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Returns the HTML page for the UI.
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"""
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html_content = """
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<!DOCTYPE html>
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<html lang="en">
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<head>
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<meta charset="UTF-8">
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<meta name="viewport" content="width=device-width, initial-scale=1.0">
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<title>Text Generator</title>
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<style>
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body {
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font-family: Arial, sans-serif;
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display: flex;
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justify-content: center;
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align-items: center;
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min-height: 100vh;
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margin: 0;
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padding: 20px;
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background-color: #f5f5f5;
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}
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#container {
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width: 100%;
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max-width: 600px;
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background: white;
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padding: 20px;
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border-radius: 8px;
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box-shadow: 0px 0px 10px rgba(0, 0, 0, 0.1);
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box-sizing: border-box;
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}
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#prompt, #output {
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width: 100%;
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padding: 10px;
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margin-bottom: 20px;
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border: 1px solid #ddd;
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border-radius: 4px;
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box-sizing: border-box;
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}
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#output {
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min-height: 100px;
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white-space: pre-wrap;
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background-color: #f9f9f9;
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padding: 15px;
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border-radius: 4px;
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}
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</style>
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</head>
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<body>
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<div id="container">
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<h1>Text Generator</h1>
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<textarea id="prompt" rows="4" placeholder="Enter your prompt here..."></textarea>
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<div id="output"></div>
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</div>
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<script>
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document.getElementById("prompt").addEventListener("keydown", async function(event) {
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if (event.key === "Enter" && !event.shiftKey) {
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event.preventDefault();
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const prompt = this.value.trim();
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if (!prompt) return;
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const outputDiv = document.getElementById("output");
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outputDiv.innerHTML = "Loading...";
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this.disabled = true;
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const response = await fetch(`/generate?text=${encodeURIComponent(prompt)}`);
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const data = await response.json();
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const text = data.output;
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outputDiv.innerHTML = "";
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let i = 0;
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function printText() {
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if (i < text.length) {
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outputDiv.innerHTML += text.charAt(i);
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i++;
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setTimeout(printText, 50);
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} else {
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document.getElementById("prompt").disabled = false;
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}
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}
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printText();
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}
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});
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</script>
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</body>
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</html>
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"""
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return html_content
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@app.get("/generate")
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can be found [here](<https://huggingface.co/openai-community/gpt2-large>).
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"""
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output = pipe(text)
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return {"output": output[0]["generated_text"]}
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