app.py

from fastapi import FastAPI, HTTPException, UploadFile, File, Form
from fastapi.middleware.cors import CORSMiddleware
from pydantic import BaseModel
from model import SimpleTransformerModel, FullChatDataset, VoiceInterface, generate_response
import torch
import uvicorn
import os
from typing import Optional

app = FastAPI()

# CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_methods=["*"],
    allow_headers=["*"],
)

# Initialize components
dataset = FullChatDataset()
model = SimpleTransformerModel(len(dataset.tokenizer))
voice_interface = VoiceInterface()

class ChatRequest(BaseModel):
    prompt: str
    max_length: int = 100
    use_voice: bool = False

@app.post("/chat/")
async def chat_endpoint(
    prompt: Optional[str] = Form(None),
    max_length: int = Form(100),
    use_voice: bool = Form(False),
    audio_file: Optional[UploadFile] = File(None)
):
    try:
        # Handle voice input if audio file provided
        if audio_file:
            contents = await audio_file.read()
            with open("temp_audio.wav", "wb") as f:
                f.write(contents)
            
            with sr.AudioFile("temp_audio.wav") as source:
                audio = voice_interface.recognizer.record(source)
                prompt = voice_interface.recognizer.recognize_google(audio)
            os.remove("temp_audio.wav")
        
        # If no prompt provided (either text or voice)
        if not prompt:
            raise HTTPException(status_code=400, detail="No input provided")
        
        response = generate_response(
            model, 
            dataset.tokenizer, 
            prompt, 
            max_length,
            voice_interface if use_voice else None
        )
        
        return {"response": response}
    
    except Exception as e:
        raise HTTPException(status_code=500, detail=str(e))

@app.get("/")
async def read_root():
    return {"message": "CyberFuture Running"}

if __name__ == "__main__":
    uvicorn.run(app, host="0.0.0.0", port=8000)