Upload 3 files

Dockerfile

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+FROM python:3.9
+
+WORKDIR /code
+
+COPY ./requirements.txt /code/requirements.txt
+
+RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt
+
+RUN useradd sid
+
+USER  sid
+
+ENV HOME=/home/sid \
+    PATH=/home/sid/.local/bin:$PATH
+
+WORKDIR $HOME/app
+
+COPY --chown=sid . $HOME/app
+
+CMD [ "uvicorn", "app:app", "--host", "0.0.0.0","--port","7860" ]

appmod.py

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+from fastapi import FastAPI, Query
+from transformers import pipeline
+
+app = FastAPI()
+
+def initialize_pipeline():
+    return pipeline("text2text-generation", model="google/flan-t5-small")
+
+pipe = initialize_pipeline()
+
+@app.get("/")
+def home():
+    return {"message": "Hello Siddhant"}
+
+@app.get("/generate")
+def generate_text(
+    text: str = Query(None, description="Input text to generate from"),
+    prompt: str = Query(None, description="Optional prompt for fine-tuning the generated text"),
+):
+    if not text and not prompt:
+        return {"error": "Please provide either 'text' or 'prompt' parameter."}
+
+    if prompt:
+        input_text = f"{text} {prompt}" if text else prompt
+    else:
+        input_text = text
+
+    output = pipe(input_text, max_length=100, do_sample=True, top_k=50)
+
+    return {"input_text": input_text, "output": output[0]["generated_text"]}

requirements.txt

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+fastapi==0.74.*
+requests==2.27.*
+uvicorn[standard]==0.17.*
+sentencepiece==0.1.*
+torch==1.11.*
+transformers==4.*
+elasticsearch
+elasticsearch-dsl
+PyMuPDF