Update app.py
Browse files
app.py
CHANGED
@@ -17,18 +17,29 @@ logging.basicConfig(level=logging.INFO)
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logger = logging.getLogger(__name__)
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# Hugging Face Inference API endpoint for DeepSeek
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API_URL = "https://api-inference.huggingface.co/models/deepseek-ai/
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headers = {"Authorization": f"Bearer {token}"}
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# Define request body schema
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class TextGenerationRequest(BaseModel):
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prompt: str
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max_new_tokens: int =
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temperature: float = 0.
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top_k: int =
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top_p: float = 0.
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do_sample: bool = True
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# Define API endpoint
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@app.post("/generate-text")
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async def generate_text(request: TextGenerationRequest):
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@@ -43,6 +54,7 @@ async def generate_text(request: TextGenerationRequest):
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"temperature": request.temperature,
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"top_k": request.top_k,
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"top_p": request.top_p,
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"do_sample": request.do_sample,
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},
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}
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@@ -55,9 +67,10 @@ async def generate_text(request: TextGenerationRequest):
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logger.error(f"API Error: {response.status_code} - {response.text}")
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raise HTTPException(status_code=response.status_code, detail=response.text)
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# Extract the generated text
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generated_text = response.json()[0]["generated_text"]
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except Exception as e:
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logger.error(f"Error generating text: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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@@ -70,4 +83,4 @@ async def root():
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# Add a test endpoint
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@app.get("/test")
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async def test():
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return {"message": "API is running!"}
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logger = logging.getLogger(__name__)
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# Hugging Face Inference API endpoint for DeepSeek
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API_URL = "https://api-inference.huggingface.co/models/deepseek-ai/deepseek-model" # Replace with the correct model ID
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headers = {"Authorization": f"Bearer {token}"}
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# Define request body schema
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class TextGenerationRequest(BaseModel):
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prompt: str
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max_new_tokens: int = 150 # Increased to allow longer responses
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temperature: float = 0.8 # Slightly increased for more varied responses
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top_k: int = 100 # Broader vocabulary sampling
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top_p: float = 0.92 # Increased diversity
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repetition_penalty: float = 1.2 # Penalizes repetition
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do_sample: bool = True
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# Function to remove repetitive content in the output
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def remove_repetition(text: str) -> str:
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seen = set()
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result = []
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for word in text.split():
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if word.lower() not in seen:
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result.append(word)
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seen.add(word.lower())
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return " ".join(result)
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# Define API endpoint
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@app.post("/generate-text")
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async def generate_text(request: TextGenerationRequest):
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"temperature": request.temperature,
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"top_k": request.top_k,
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"top_p": request.top_p,
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"repetition_penalty": request.repetition_penalty,
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"do_sample": request.do_sample,
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},
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}
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logger.error(f"API Error: {response.status_code} - {response.text}")
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raise HTTPException(status_code=response.status_code, detail=response.text)
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# Extract and process the generated text
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generated_text = response.json()[0]["generated_text"]
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cleaned_text = remove_repetition(generated_text) # Clean up repetition
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return {"generated_text": cleaned_text}
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except Exception as e:
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logger.error(f"Error generating text: {e}")
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raise HTTPException(status_code=500, detail=str(e))
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# Add a test endpoint
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@app.get("/test")
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async def test():
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return {"message": "API is running!"}
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