created app.py

app.py

@@ -0,0 +1,57 @@
+import gradio as gr
+
+# GPT-J-6B API
+API_URL = "https://api-inference.huggingface.co/models/EleutherAI/gpt-j-6B"
+prompt = """
+word: risk
+poem using word: And then the day came,
+when the risk
+to remain tight
+in a bud
+was more painful
+than the risk
+it took
+to blossom.
+
+word: """
+
+text = "A few clouded the sun, not enough to cloud the sky, not enough to bring a cloud, not enough to bring a storm"
+steps, width, height, images, diversity = '50','256','256','1',15
+gr.Interface.load("spaces/multimodalart/latentdiffusion")(text, steps, width, height, images, diversity)[0]
+
+def poem_generate(word):
+  prompt = prompt + word + "\n" + "poem using word: "
+  json_ = {"inputs": prompt,
+            "parameters":
+            {
+            "top_p": 0.9,
+          "temperature": 1.1,
+          "max_new_tokens": 50,
+          "return_full_text": False
+          }}
+  response = requests.post(API_URL, json=json_)
+  output = response.json()
+  poem = output[0]['generated_text'].spilt("\n\n")[0] +"."
+  return poem
+
+def poem_to_image(poem):
+  poem = " ".join(poem[1:].split('\n'))
+  poem = poem + " oil on canvas."
+  steps, width, height, images, diversity = '50','256','256','1',15
+  img = gr.Interface.load("spaces/multimodalart/latentdiffusion")(poem, steps, width, height, images, diversity)[0]
+  return img
+
+demo = gr.Blocks()
+
+with demo:
+  input_word = gr.Textbox(placeholder="Enter a word here to create a Poem on..")
+  poem_txt = gr.Textbox(lines=7)
+  output_image = gr.Image(type="filepath")
+
+  b1 = gr.Button("Generate Poem")
+  b2 = gr.Button("Generate Image")
+
+  b1.click(poem_generate, input_word, poem_txt)
+  b2.click(poem_to_image, poem_txt, output_image)
+
+demo.launch(enable_queue=True, debug=True)