wehub-resource-sync
96 lines
2.7 KiB
Python
96 lines
2.7 KiB
Python
# Copyright 2025 Google LLC
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from os import getenv
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from fastapi import FastAPI, File, UploadFile
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from fastapi.middleware.cors import CORSMiddleware
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from google.cloud import speech
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from src.controller.search import router as search_router
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app = FastAPI()
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def configure_cors(app):
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"""Configures CORS middleware based on the environment."""
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environment = getenv("ENVIRONMENT")
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allowed_origins = []
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if environment == "production":
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frontend_url = getenv("FRONTEND_URL")
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if not frontend_url:
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raise ValueError(
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"FRONTEND_URL environment variable not set in production"
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)
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allowed_origins.append(frontend_url)
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elif environment == "development":
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allowed_origins.append("*") # Allow all origins in development
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else:
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raise ValueError(
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f"Invalid ENVIRONMENT: {environment}. Must be 'production' or 'development'"
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)
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app.add_middleware(
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CORSMiddleware,
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allow_origins=allowed_origins,
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allow_credentials=True,
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allow_methods=["*"],
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allow_headers=["*"],
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)
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# Create a route to handle GET requests on root
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@app.get("/")
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async def root():
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return "You are calling Quick Bot Backend"
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# Create a route to handle GET requests on /version
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@app.get("/api/version")
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def version():
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return "v0.0.1"
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@app.post("/api/audio_chat")
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async def audio_chat(audio_file: UploadFile = File(...)):
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client = speech.SpeechClient()
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audio_content = await audio_file.read()
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audio = speech.RecognitionAudio(content=audio_content)
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config = speech.RecognitionConfig(
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language_code="en-US",
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sample_rate_hertz=48000,
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model="default",
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audio_channel_count=1,
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enable_word_confidence=True,
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enable_word_time_offsets=True,
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)
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operation = client.long_running_recognize(config=config, audio=audio)
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print("Waiting for operation to complete...")
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response = operation.result(timeout=90)
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text = ""
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for result in response.results:
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print(f"Transcript: {result.alternatives[0].transcript}")
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text = result.alternatives[0].transcript
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return text, 200
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configure_cors(app)
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app.include_router(search_router)
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