fix (deepseek client): fix deepseek api base model api

app/api/v1/voice.py

@@ -0,0 +1,10 @@
+from fastapi import APIRouter
+from app.models.voice import VoiceRequest, VoiceResponse
+from app.services.voice import generate_voice
+
+router = APIRouter()
+
+@router.post("/", response_model=VoiceResponse)
+async def voice(request: VoiceRequest):
+    voice = await generate_voice(request.text)
+    return VoiceResponse(voice=voice)

app/core/deepseek_client.py

@@ -1,27 +1,35 @@
 # app/services/openai_service.py
 import openai
 from openai import OpenAI
-from app.core.config import OPENAI_API_KEY, OPENAI_MODEL
+import openai
-from app.core.config import OPENAI_API_BASE
+from app.core.config import OPENAI_API_KEY, OPENAI_MODEL, OPENAI_API_BASE
+
+# Initialize OpenAI client with DeepSeek's API
+DEEPSEEK_API_BASE = "https://api.deepseek.com/v1"
+DEEPSEEK_MODEL = "deepseek-chat"
 
-# Set OpenAI API key from the environment
 openai.api_key = OPENAI_API_KEY
-openai.api_base = OPENAI_API_BASE
+openai.api_base = DEEPSEEK_API_BASE
-
-print(openai.api_key)
-print(OPENAI_MODEL)
-print(OPENAI_API_BASE)
 
 async def chat_with_openai(messages: list):
-    # Use the model from environment variable or fallback to default
+    client = OpenAI(
-    model = OPENAI_MODEL
+        api_key=openai.api_key,
-    client = OpenAI(api_key=openai.api_key, base_url=openai.api_base)
+        base_url=DEEPSEEK_API_BASE
-
-    response = client.chat.completions.create(
-        model="deepseek-chat",  # Or the model you want
-        messages=messages,  # Update this according to the new API syntax
-        max_tokens=100,  # Example parameter
-        stream=False
     )
-    
+
-    return response.choices[0].message.content
+    try:
+        response = client.chat.completions.create(
+            model=DEEPSEEK_MODEL,
+            messages=messages,
+            max_tokens=1000,
+            temperature=0.7,
+            stream=False
+        )
+        
+        if response.choices and len(response.choices) > 0:
+            return response.choices[0].message.content
+        return "No response from the model"
+        
+    except Exception as e:
+        print(f"Error calling DeepSeek API: {str(e)}")
+        raise

app/main.py

@@ -1,7 +1,9 @@
 from fastapi import FastAPI
 from app.api.v1 import translate
+# from app.api.v1 import voice
 
 app = FastAPI()
 
 # Include your routes
 app.include_router(translate.router, prefix="/api/v1/translate", tags=["translate"])
+# app.include_router(voice.router, prefix="/api/v1/voice", tags=["voice"])

app/models/voice.py

@@ -0,0 +1,8 @@
+from pydantic import BaseModel
+
+
+class VoiceRequest(BaseModel):
+    text: str
+
+class VoiceResponse(BaseModel):
+    voice: str