Added application and requirements.txt file

app.py

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+import gradio as gr
+from transformers import pipeline
+
+
+model_name = "bigscience/bloom-560m"
+nlp_model = pipeline("text-generation", model=model_name, tokenizer=model_name)
+
+def generate_text(input_text, max_length):
+    generated_text = nlp_model(input_text, max_length=max_length)
+    return f"<br>---<br>".join([sequence["generated_text"] for sequence in generated_text])
+
+
+input_textbox = gr.inputs.Textbox(lines=5, placeholder="Enter your text here...")
+max_length_slider = gr.inputs.Slider(minimum=10, maximum=200, default=50, step=1, label="Max Length")
+
+output_html = gr.outputs.HTML()
+
+
+gr.Interface(
+    fn=generate_text,
+    inputs=[input_textbox, max_length_slider],
+    outputs=output_html,
+    title="Bloom-560m Text Generation",
+    description="A demo for the bigscience/bloom-560m model.",
+    disable_cache=True,
+).launch()

requirements.txt

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+aiohttp==3.8.4
+aiosignal==1.3.1
+async-timeout==4.0.2
+attrs==22.2.0
+certifi==2022.9.24
+cffi==1.15.1
+charset-normalizer==2.1.1
+click==8.1.3
+cryptography==38.0.4
+distlib==0.3.6
+filelock==3.9.0
+frozenlist==1.3.3
+gigalixir==1.3.1
+idna==3.4
+joblib==1.2.0
+multidict==6.0.4
+numpy==1.23.5
+openai==0.27.2
+packaging==22.0
+pipenv==2023.2.4
+platformdirs==3.0.0
+pycparser==2.21
+pydantic==1.10.2
+Pygments==2.13.0
+pyOpenSSL==22.1.0
+PyPDF2==3.0.1
+pyreadline==2.1
+qrcode==7.3.1
+replicate==0.4.0
+requests==2.28.1
+rollbar==0.16.3
+scikit-learn==1.1.3
+scipy==1.9.3
+six==1.16.0
+sklearn==0.0.post1
+stripe==5.0.0
+threadpoolctl==3.1.0
+tqdm==4.65.0
+typing_extensions==4.4.0
+urllib3==1.26.13
+virtualenv==20.19.0
+virtualenv-clone==0.5.7
+yarl==1.8.2
+