Spaces:
Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
|
@@ -1,22 +1,3 @@
|
|
| 1 |
-
# Import the necessary libraries
|
| 2 |
import gradio as gr
|
| 3 |
-
from transformers import pipeline
|
| 4 |
|
| 5 |
-
|
| 6 |
-
gr.load("models/SimonThormeyer/movie-plot-generator-longer-plots").launch()
|
| 7 |
-
|
| 8 |
-
# Define the pre-trained model for dialogue generation
|
| 9 |
-
pretrained_model_name = "microsoft/DialoGPT-small" # You can choose a different dialogue generation model if needed
|
| 10 |
-
custom_model_task = "text-generation" # Task remains text-generation for dialogue generation
|
| 11 |
-
|
| 12 |
-
# Create a pipeline for dialogue generation using the pre-trained model
|
| 13 |
-
pipe = pipeline(custom_model_task, model=pretrained_model_name)
|
| 14 |
-
|
| 15 |
-
# Define a specific input prompt for generating dialogue
|
| 16 |
-
input_prompt = "Character 1: Hey, how's it going?" # Example starting prompt for a dialogue
|
| 17 |
-
|
| 18 |
-
# Generate initial dialogue based on the input prompt
|
| 19 |
-
generated_dialogue = pipe(input_prompt)
|
| 20 |
-
|
| 21 |
-
# Print the generated dialogue
|
| 22 |
-
print(generated_dialogue)
|
|
|
|
|
|
|
| 1 |
import gradio as gr
|
|
|
|
| 2 |
|
| 3 |
+
gr.load("models/SimonThormeyer/movie-plot-generator-longer-plots").launch()
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|