gemma / app.py
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from fastapi import FastAPI, Form, Request
from fastapi.responses import HTMLResponse, StreamingResponse
import os
import json
import requests
import random
app = FastAPI()
# Load environment variables
MODEL = "gpt-4o-mini"
API_URL = os.getenv("API_URL")
DISABLED = os.getenv("DISABLED") == 'True'
OPENAI_API_KEYS = os.getenv("OPENAI_API_KEYS", "").split(",")
NUM_THREADS = int(os.getenv("NUM_THREADS", 1))
# HTML with embedded CSS and JS
HTML_CONTENT = """
<!DOCTYPE html>
<html lang="en">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>GPT-4o Mini Chat</title>
<style>
body { font-family: Arial, sans-serif; background-color: #f4f4f4; margin: 0; padding: 20px; }
.container { max-width: 800px; margin: auto; background: white; padding: 20px; border-radius: 8px; box-shadow: 0 0 10px rgba(0, 0, 0, 0.1); }
h1 { color: #333; text-align: center; }
.chatbox { height: 400px; overflow-y: auto; border: 1px solid #ccc; padding: 10px; margin-bottom: 20px; }
.message { margin: 10px 0; padding: 8px; border-radius: 5px; }
.user { background: #e6f3ff; }
.assistant { background: #f0f0f0; }
form { display: flex; flex-direction: column; gap: 10px; }
input, select, button { padding: 8px; font-size: 16px; }
button { background-color: #007bff; color: white; border: none; border-radius: 5px; cursor: pointer; }
button:hover { background-color: #0056b3; }
button:disabled { background-color: #ccc; cursor: not-allowed; }
</style>
</head>
<body>
<div class="container">
<h1>GPT-4o Mini: Research Preview</h1>
<div id="chatbox" class="chatbox"></div>
<form id="chat-form" action="/chat" method="post">
<input type="text" id="input" name="input" placeholder="Type your message..." required>
<select name="top_p">
<option value="1.0">Top P: 1.0</option>
<option value="0.9">Top P: 0.9</option>
<option value="0.8">Top P: 0.8</option>
</select>
<select name="temperature">
<option value="1.0">Temperature: 1.0</option>
<option value="0.7">Temperature: 0.7</option>
<option value="0.3">Temperature: 0.3</option>
</select>
<button type="submit" id="submit-btn">Send</button>
</form>
</div>
<script>
const chatbox = document.getElementById("chatbox");
const form = document.getElementById("chat-form");
const input = document.getElementById("input");
const submitBtn = document.getElementById("submit-btn");
let history = JSON.parse(localStorage.getItem("chatHistory")) || [];
history.forEach(msg => addMessage(msg.role, msg.content));
form.addEventListener("submit", async (e) => {
e.preventDefault();
const userInput = input.value;
const topP = form.top_p.value;
const temperature = form.temperature.value;
addMessage("user", userInput);
input.value = "";
submitBtn.disabled = true;
const response = await fetch("/chat", {
method: "POST",
headers: { "Content-Type": "application/x-www-form-urlencoded" },
body: `input=${encodeURIComponent(userInput)}&top_p=${topP}&temperature=${temperature}`
});
const reader = response.body.getReader();
let assistantMessage = "";
const decoder = new TextDecoder();
while (true) {
const { done, value } = await reader.read();
if (done) break;
assistantMessage += decoder.decode(value);
updateLastMessage("assistant", assistantMessage);
}
history.push({ role: "user", content: userInput }, { role: "assistant", content: assistantMessage });
localStorage.setItem("chatHistory", JSON.stringify(history));
submitBtn.disabled = false;
});
function addMessage(role, content) {
const div = document.createElement("div");
div.className = `message ${role}`;
div.textContent = content;
chatbox.appendChild(div);
chatbox.scrollTop = chatbox.scrollHeight;
}
function updateLastMessage(role, content) {
const lastMsg = chatbox.lastElementChild;
if (lastMsg && lastMsg.className.includes(role)) {
lastMsg.textContent = content;
} else {
addMessage(role, content);
}
chatbox.scrollTop = chatbox.scrollHeight;
}
</script>
</body>
</html>
"""
@app.get("/", response_class=HTMLResponse)
async def home():
if DISABLED:
return "<h1 style='color:red;text-align:center'>This app has reached OpenAI's usage limit. Please check back tomorrow.</h1>"
return HTML_CONTENT
@app.post("/chat")
async def chat(input: str = Form(...), top_p: float = Form(1.0), temperature: float = Form(1.0)):
if DISABLED:
return StreamingResponse(iter(["Usage limit reached."]), media_type="text/plain")
payload = {
"model": MODEL,
"messages": [{"role": "user", "content": input}],
"temperature": temperature,
"top_p": top_p,
"n": 1,
"stream": True,
"presence_penalty": 0,
"frequency_penalty": 0,
}
OPENAI_API_KEY = random.choice(OPENAI_API_KEYS)
headers = {
"Content-Type": "application/json",
"Authorization": f"Bearer {OPENAI_API_KEY}",
}
def stream_response():
try:
response = requests.post(API_URL, headers=headers, json=payload, stream=True)
response.raise_for_status()
for chunk in response.iter_lines():
if chunk:
chunk_data = chunk.decode('utf-8')
if chunk_data.startswith("data: "):
chunk_json = json.loads(chunk_data[6:])
if "choices" in chunk_json and "delta" in chunk_json["choices"][0] and "content" in chunk_json["choices"][0]["delta"]:
yield chunk_json["choices"][0]["delta"]["content"]
except Exception as e:
yield f"Error: {str(e)}"
return StreamingResponse(stream_response(), media_type="text/plain")
if __name__ == "__main__":
import uvicorn
uvicorn.run(app, host="0.0.0.0", port=7860)