Sree

app.py

@@ -1,10 +1,46 @@
 import gradio as gr
+from transformers import pipeline
 
+# Load a GPT-Neo model fine-tuned for code generation
+generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')
 
-def greet(name):
-    return "Hello " + name
+def generate_code(prompt):
+    # Generate code from the model
+    responses = generator(prompt, max_length=50, num_return_sequences=1, temperature=0.5)
+    return responses[0]['generated_text']
 
+# Create a Gradio Interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=[gr.inputs.Textbox(lines=10, label="Type your code description here")],
+    outputs=[gr.outputs.Textbox(label="Generated Code")],
+    examples=[["Create a Python function to add two numbers"]],
+)
 
-demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+# Run the interface
+if __name__ == "__main__":
+    iface.launch()
+
+#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.inputs.Textbox(lines=10, label="Type your code description here")],
+#    outputs=[gr.outputs.Textbox(label="Generated Code")],
+#    examples=[["Define a Python function to calculate factorial."]],
+#)
+
+# Run the interface
+#if __name__ == "__main__":
+#    iface.launch()
 
-demo.launch()

app1.py

@@ -0,0 +1,10 @@
+import gradio as gr
+
+
+def greet(name):
+    return "Hello " + name
+
+
+demo = gr.Interface(fn=greet, inputs="text", outputs="text")
+
+demo.launch()

app2.py

@@ -0,0 +1,46 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load a GPT-Neo model fine-tuned for code generation
+generator = pipeline('text-generation', model='EleutherAI/gpt-neo-2.7B')
+
+def generate_code(prompt):
+    # Generate code from the model
+    responses = generator(prompt, max_length=50, num_return_sequences=1, temperature=0.5)
+    return responses[0]['generated_text']
+
+# Create a Gradio Interface
+iface = gr.Interface(
+    fn=generate_code,
+    inputs=[gr.inputs.Textbox(lines=10, label="Type your code description here")],
+    outputs=[gr.outputs.Textbox(label="Generated Code")],
+    examples=[["Create a Python function to add two numbers"]],
+)
+
+# Run the interface
+if __name__ == "__main__":
+    iface.launch()
+
+#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.inputs.Textbox(lines=10, label="Type your code description here")],
+#    outputs=[gr.outputs.Textbox(label="Generated Code")],
+#    examples=[["Define a Python function to calculate factorial."]],
+#)
+
+# Run the interface
+#if __name__ == "__main__":
+#    iface.launch()
+

push.sh

@@ -5,4 +5,4 @@ git add .
 git commit -m Sree
 git push
 
-echo visit https://schogini-test1.hf.space
+echo https://schogini-test1.hf.space

requirements.txt

@@ -1,4 +1,5 @@
 gradio
 #==3.1.4
-#transformers==4.20.1
+transformers
+#==4.20.1
 #huggingface_hub==0.19.0