Spaces:
Sleeping
Sleeping
hasanriaz121
commited on
Commit
•
9ca45a3
1
Parent(s):
8a9c8ec
Added Application files
Browse files- Dockerfile +11 -0
- main.py +58 -0
- requirements.txt +7 -0
Dockerfile
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FROM python:3.9
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WORKDIR /code
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COPY ./requirements.txt /code/requirements.txt
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RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
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COPY . .
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CMD ["uvicorn", "main:app", "--host", "0.0.0.0", "--port", "7860"]
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main.py
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from fastapi import FastAPI, Request, Form
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from fastapi.responses import HTMLResponse
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import nest_asyncio
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import uvicorn
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from transformers import pipeline
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app = FastAPI()
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@app.on_event("startup")
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async def startup_event():
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model_path="cardiffnlp/twitter-roberta-base-sentiment-latest"
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global sentiment_task
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sentiment_task = pipeline("sentiment-analysis", model=model_path, tokenizer=model_path)
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@app.get("/", response_class=HTMLResponse)
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async def home():
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html_content = """
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<html>
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<head>
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<title>Text Classification</title>
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</head>
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<body>
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<h1>Text Classification</h1>
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<form method="post" action="/analyze/">
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<input type="text" name="text" placeholder="Enter text to analyze" autocomplete="off" required>
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<input type="submit" value="Analyze">
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</form>
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</body>
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</html>
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"""
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return HTMLResponse(content=html_content, status_code=200)
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@app.get('/{name}')
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async def get_name(name: str):
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return {'Welcome To Here': f'{name}'}
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@app.post("/analyze/", response_class=HTMLResponse)
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async def analyze_text(text: str = Form(...)):
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# Assuming your model is a function that takes input and returns predictions
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prediction = sentiment_task(text)
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html_content = """
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<html>
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<head>
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<title>Analysis Result</title>
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</head>
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<body>
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<h1>Analysis Result:</h1>
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<p>Input Text: {input_text}</p>
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<p>Prediction: {prediction}</p>
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<button><a href="/" >Back</a><button>
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</body>
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</html>
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""".format(input_text=text, prediction=prediction[0]['label'])
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return HTMLResponse(content=html_content, status_code=200)
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requirements.txt
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fastapi==0.74.*
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requests==2.27.*
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sentencepiece==0.1.*
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torch==1.11.*
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transformers==4.*
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uvicorn[standard]==0.17.*
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nest_asyncio==1.5.*
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