Create app.py

app.py

@@ -0,0 +1,26 @@
+import gradio as gr
+from transformers import pipeline
+
+# Load the model
+model = pipeline("text-generation", model="vedant-jumle/gemma-alpaca-uncensored")
+
+def generate_text(prompt, max_length=100, temperature=0.7):
+    """Generate text based on the input prompt."""
+    generated = model(prompt, max_length=max_length, temperature=temperature, do_sample=True)[0]['generated_text']
+    return generated
+
+# Create the Gradio interface
+iface = gr.Interface(
+    fn=generate_text,
+    inputs=[
+        gr.Textbox(label="Enter your prompt"),
+        gr.Slider(minimum=10, maximum=500, value=100, step=1, label="Max Length"),
+        gr.Slider(minimum=0.1, maximum=1.0, value=0.7, step=0.1, label="Temperature")
+    ],
+    outputs=gr.Textbox(label="Generated Text"),
+    title="Gemma Alpaca Uncensored Text Generator",
+    description="Generate text using the vedant-jumle/gemma-alpaca-uncensored model."
+)
+
+# Launch the app
+iface.launch()