first commit

app.py

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+from fastapi import FastAPI, HTTPException
+import requests
+from pydantic import BaseModel
+from typing import Optional
+from googletrans import Translator
+
+translator = Translator()
+
+app = FastAPI()
+
+# Fonction de traduction du français vers le Lingala en utilisant l'API MyMemory
+def translate_fr_to_ln(text: str) -> str:
+    url = "https://api.mymemory.translated.net/get"
+    params = {
+        'q': text,
+        'langpair': 'fr|ln'  # Traduction du français vers le Lingala
+    }
+    response = requests.get(url, params=params)
+    if response.status_code == 200:
+        result = response.json()
+        return result['responseData']['translatedText']
+    else:
+        raise Exception(f"Erreur: {response.status_code}, {response.text}")
+
+# Fonction de traduction du Lingala vers le français en utilisant l'API MyMemory
+def translate_ln_to_fr(text: str) -> str:
+    url = "https://api.mymemory.translated.net/get"
+    params = {
+        'q': text,
+        'langpair': 'ln|fr'  # Traduction du Lingala vers le français
+    }
+    response = requests.get(url, params=params)
+    if response.status_code == 200:
+        result = response.json()
+        return result['responseData']['translatedText']
+    else:
+        raise Exception(f"Erreur: {response.status_code}, {response.text}")
+
+
+# Classe pour la réponse de traduction
+class TranslationResponse(BaseModel):
+    translated_text: str
+
+@app.get("/translate_fr_to_ln", response_model=TranslationResponse)
+def translate_fr_to_ln_api(text: Optional[str] = None):
+    if text:
+        try:
+            # Appel de la fonction de traduction français -> Lingala
+            translated_text = translate_fr_to_ln(text)
+            return TranslationResponse(translated_text=translated_text)
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=str(e))
+    else:
+        raise HTTPException(status_code=400, detail="Le texte est requis pour la traduction.")
+
+@app.get("/translate_ln_to_fr", response_model=TranslationResponse)
+def translate_ln_to_fr_api(text: Optional[str] = None):
+    if text:
+        try:
+            # Appel de la fonction de traduction Lingala -> français
+            translated_text = translate_ln_to_fr(text)
+            return TranslationResponse(translated_text=translated_text)
+        except Exception as e:
+            raise HTTPException(status_code=500, detail=str(e))
+    else:
+        raise HTTPException(status_code=400, detail="Le texte est requis pour la traduction.")
+
+
+if __name__ == "__main__":
+    import uvicorn
+    uvicorn.run(app, host="0.0.0.0", port=7860)

requirements.txt

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+annotated-types==0.7.0
+anyio==4.7.0
+cachetools==5.5.0
+certifi==2024.12.14
+chardet==3.0.4
+charset-normalizer==3.4.0
+click==8.1.7
+deepl==1.20.0
+fastapi==0.115.6
+google-api-core==2.24.0
+google-auth==2.37.0
+google-cloud-core==2.4.1
+google-cloud-translate==3.19.0
+googleapis-common-protos==1.66.0
+googletrans==3.0.0
+grpc-google-iam-v1==0.13.1
+grpcio==1.68.1
+grpcio-status==1.68.1
+h11==0.9.0
+h2==3.2.0
+hpack==3.0.0
+hstspreload==2024.12.1
+httpcore==0.9.1
+httpx==0.13.3
+hyperframe==5.2.0
+idna==2.10
+proto-plus==1.25.0
+protobuf==5.29.2
+pyasn1==0.6.1
+pyasn1_modules==0.4.1
+pydantic==2.10.4
+pydantic_core==2.27.2
+requests==2.32.3
+rfc3986==1.5.0
+rsa==4.9
+sniffio==1.3.1
+starlette==0.41.3
+typing_extensions==4.12.2
+urllib3==2.2.3
+uvicorn==0.34.0