Sree

app.py

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+import gradio as gr
+from transformers import pipeline
+
+# Load a small GPT model fine-tuned for Python code generation
+generator = pipeline('text-generation', model='microsoft/CodeGPT-small-py')
+
+def generate_code(prompt):
+    # Generate code from the model
+    responses = generator(prompt, max_length=150, num_return_sequences=1, temperature=0.5)
+    return responses[0]['generated_text']
+
+# Create a Gradio Interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=[gr.Textbox(lines=10, label="Type your code description here")],
+    outputs=[gr.Textbox(label="Generated Code")],
+    examples=[["Define a Python function to calculate factorial."]],
+)
+
+# Run the interface
+if __name__ == "__main__":
+    iface.launch()
+

note.txt

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+🚀 Get started with your gradio Space!
+Your new space has been created, follow these steps to get started (or read our full documentation )
+
+Start by cloning this repo by using:
+
+git clone git@hf.co:spaces/schogini/test2
+Create your Gradio app.py file:
+
+import gradio as gr
+
+def greet(name):
+    return "Hello " + name + "!!"
+
+iface = gr.Interface(fn=greet, inputs="text", outputs="text")
+iface.launch()
+Then commit and push:
+
+git add app.py
+git commit -m "Add application file"
+git push
+(Hint: Create the app.py file right in your browser alternatively)
+
+🤗 Your app should be running on this page after a few moments !

push.sh

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+
+#pip install --upgrade huggingface_hub
+
+git add .
+git commit -m Sree
+git push
+
+echo https://schogini-test1.hf.space