Update generate function

app.py

@@ -8,30 +8,26 @@ with open("ideas.txt", "r") as f:
 
 
 def generate(starting_text):
-    for count in range(4):
-        seed = random.randint(100, 1000000)
-        set_seed(seed)
-
-        if starting_text == "":
-            starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize()
-            starting_text: str = re.sub(r"[,:\-–.!;?_]", '', starting_text)
-            print(starting_text)
-    
-        response = gpt2_pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 90)), num_return_sequences=4)
-        response_list = []
-        for x in response:
-            resp = x['generated_text'].strip()
-            if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False:
-                response_list.append(resp+'\n')
-    
-        response_end = "\n".join(response_list)
-        response_end = re.sub('[^ ]+\.[^ ]+','', response_end)
-        response_end = response_end.replace("<", "").replace(">", "")
-
-        if response_end != "":
-            return response_end
-        if count == 4:
-            return response_end
+    seed = random.randint(100, 1000000)
+    set_seed(seed)
+
+    if starting_text == "":
+        starting_text: str = line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize()
+        starting_text: str = re.sub(r"[,:\-–.!;?_]", '', starting_text)
+
+    response = gpt2_pipe(starting_text, max_length=(len(starting_text) + random.randint(60, 90)), num_return_sequences=4)
+    response_list = []
+    for x in response:
+        resp = x['generated_text'].strip()
+        if resp != starting_text and len(resp) > (len(starting_text) + 4) and resp.endswith((":", "-", "—")) is False:
+            response_list.append(resp+'\n')
+
+    response_end = "\n".join(response_list)
+    response_end = re.sub('[^ ]+\.[^ ]+','', response_end)
+    response_end = response_end.replace("<", "").replace(">", "")
+
+    if response_end != "":
+        return response_end
 
 
 txt = grad.Textbox(lines=1, label="Initial Text", placeholder="English Text here")
@@ -42,8 +38,7 @@ for x in range(8):
     examples.append(line[random.randrange(0, len(line))].replace("\n", "").lower().capitalize())
 
 title = "Stable Diffusion Prompt Generator"
-description = 'This is a demo of the model series: "MagicPrompt", in this case, aimed at: Stable Diffusion. To use it, simply submit your text or click on one of the examples.<b><br><br>To learn more about the model, go to the link: https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion<br>'
-article = ""
+description = 'This is a demo of the model series: "MagicPrompt", in this case, aimed at: "Stable Diffusion". To use it, simply submit your text or click on one of the examples.<br><br>To learn more about the model, [click here]{https://huggingface.co/Gustavosta/MagicPrompt-Stable-Diffusion}.<br>'
 
 grad.Interface(fn=generate,
                inputs=txt,
@@ -51,7 +46,7 @@ grad.Interface(fn=generate,
                examples=examples,
                title=title,
                description=description,
-               article=article,
+               article='',
                allow_flagging='never',
                cache_examples=False,
                theme="default").launch(enable_queue=True, debug=True)