V5

app.py

@@ -6,41 +6,20 @@ import transformers
 openai.api_key = os.environ["api"]
 
 
-def generateBlogTopics(prompt1):
-    response = openai.Completion.create(
-        engine="text-davinci-002",
-        prompt="Generate blog topics on: {}. \n \n 1.  ".format(prompt1),
-        max_tokens=100,
-        n=1,
-        stop=None,
-        temperature=0.7,
-    )
 
-    return response.choices[0].text
+generator = transformers.pipeline("text-generation", model="EleutherAI/gpt-neo-2.7B")
 
-def generateBlogSections(prompt1):
-    response = openai.Completion.create(
-        engine="text-davinci-002",
-        prompt="Expand the blog title in to high level blog sections: {} \n\n- Introduction: ".format(prompt1),
-        max_tokens=100,
-        n=1,
-        stop=None,
-        temperature=0.6,
-    )
+def generateBlogTopics(prompt1):
+    response = generator("Generate blog topics on: {}. \n \n 1.  ".format(prompt1), max_length=100, do_sample=True, temperature=0.7)[0]["generated_text"]
+    return response
 
-    return response.choices[0].text
+def generateBlogSections(prompt1):
+    response = generator("Expand the blog title in to high level blog sections: {} \n\n- Introduction: ".format(prompt1), max_length=100, do_sample=True, temperature=0.6)[0]["generated_text"]
+    return response
 
 def blogSectionExpander(prompt1):
-    response = openai.Completion.create(
-        engine="text-davinci-002",
-        prompt="Expand the blog section in to a detailed professional, witty and clever explanation.\n\n {}".format(prompt1),
-        max_tokens=400,
-        n=1,
-        stop=None,
-        temperature=0.7,
-    )
-
-    return response.choices[0].text
+    response = generator("Expand the blog section in to a detailed professional, witty and clever explanation.\n\n {}".format(prompt1), max_length=400, do_sample=True, temperature=0.7)[0]["generated_text"]
+    return response
 
 input_text = gr.inputs.Textbox(lines=5, label="Enter prompt text here:")
 
@@ -48,7 +27,7 @@ title_section_output = gr.outputs.Textbox(label="Title & Sections")
 section_expander_output = gr.outputs.Textbox(label="Section Expander")
 
 gr.Interface(
-    [generateBlogTopics, generateBlogSections],
+    gradio.mix.Parallel(generateBlogTopics, generateBlogSections),
     inputs=input_text,
     outputs=title_section_output,
     title="Blog Title & Sections Generator",